Debt intolerance.
Reinhart, Carmen M. ; Rogoff, Kenneth S. ; Savastano, Miguel A. 等
IN THIS PAPER WE argue that history matters: that a country's
record at meeting its debt obligations and managing its macroeconomy in
the past is relevant to forecasting its ability to sustain moderate to
high levels of indebtedness, both domestic and internal, for many years
into the future. We introduce the concept of "debt
intolerance" (drawing an analogy to, for example, "lactose
intolerance"), which manifests itself in the extreme duress many
emerging market economies experience at overall debt levels that would
seem quite manageable by the standards of the advanced industrial
economies. For external debt, "safe" thresholds for highly
debt-intolerant emerging markets appear to be surprisingly low, perhaps
as low as 15 to 20 percent of GNP in many cases, and these thresholds
depend heavily on the country's record of default and inflation.
Debt intolerance is indeed intimately linked to the pervasive phenomenon
of serial default that has plagued so many countries over the past two
centuries. Debt-intolerant countries tend to have weak fiscal structures
and weak financial systems. Default often exacerbates these problems,
making these same countries more prone to future default. Understanding
and measuring debt intolerance is fundamental to assessing the problems
of debt sustainability, debt restructuring, and capital market
integration, and to assessing the scope for international lending to
ameliorate crises.
Certainly, the idea that factors such as sound institutions and a
history of good economic management affect the interest rate at which a
country can borrow is well developed in the theoretical literature. Also
well established is the notion that, as its external debt rises, a
country becomes more vulnerable to being suddenly shut out of
international capital markets, that is, to suffer a debt crisis. (1)
However, there has to date been no attempt to make these abstract
theories operational by identifying the factors (in particular, a
history of serial default or restructuring) that govern how quickly a
country becomes vulnerable to a debt crisis as its external obligations
accumulate. One goal of this paper is to quantify this debt intolerance,
drawing on a history of adverse credit events going back to the 1820s.
We argue that a country's current level of debt intolerance can be
approximated empirically as the ratio of the long-term average of its
external debt (scaled by GNP or exports) to an index of default risk. We
recognize that other factors, such as the degree of dollarization,
indexation to inflation or short-term interest rates, and the maturity
structure of a country's debt, are also relevant to assessing a
country's vulnerability to symptoms of debt intolerance. (2) We
argue, however, that in general these factors are different
manifestations of the same underlying institutional weaknesses. Indeed,
unless these weaknesses are addressed, the notion that the
"original sin" of serial defaulters can be extinguished
through some stroke of financial engineering, allowing these countries
to borrow in the same amounts, relative to GNP, as more advanced
economies, much less at the same interest rates, is sheer folly. (3)
The first section of the paper gives a brief overview of the
history of serial default on external debt, showing that it is a
remarkably pervasive and enduring phenomenon: the European countries set
benchmarks, centuries ago, that today's emerging markets have yet
to surpass. For example, Spain defaulted on its external debt thirteen
times between 1500 and 1900, whereas Venezuela, the recordholder in our
sample for the period since 1824, has defaulted "only" nine
times. We go on to show how countries can be divided into debtors'
"clubs" and, within those clubs, more or less debt-intolerant
"regions," depending on their credit and inflation history. We
also develop first broad-brush measures of safe debt thresholds. The
data overwhelmingly suggest that the thresholds for emerging market
economies with high debt intolerance are much lower than those for
advanced industrial economies or for those emerging market economies
that have never defaulted on their external debt. Indeed, fully half of
all defaults or restructurings since 1970 took place in countries with
ratios of external debt to GNP below 60 percent. (4)
Our key finding, presented in the second section of the paper, is
that a country's external debt intolerance can be explained by a
very small number of variables related to its repayment history,
indebtedness level, and history of macroeconomic stability. Markets view
highly debt-intolerant countries as having an elevated risk of default,
even at relatively low ratios of debt to output or exports. Whether
markets adequately price this risk is an open question, but it is
certainly a risk that the citizens of debt-intolerant countries should
be aware of when their leaders engage in heavy borrowing.
The third section turns to the question of how debt intolerance
affects conventional calculations of debt sustainability, which
typically assume continual market access. For debt-intolerant countries,
sustaining access to capital markets can be problematic unless debt
ratios are quickly brought down to safer levels. To assess how such
"deleveraging" might be accomplished, we examine how,
historically, emerging market economies with substantial external debts
have managed to work them down. To our knowledge, this is a phenomenon
that has previously received very little, if any, attention. We analyze
episodes of large debt reversals, where countries' external debt
fell by more than 25 percentage points of GNP over a three-year period.
Of the twenty-two such reversals that we identify for a broad group of
middle-income countries since 1970, two-thirds involved some form of
default or restructuring. (Throughout the paper
"restructuring" denotes a recontracting of debt service
payments at terms that are tantamount to a partial default.) Only in one
case-Swaziland in 1985--was a country able to bring down a high ratio of
external debt to GNP solely as a result of rapid output growth.
Because history plays such a large role in our analysis, we focus
primarily on understanding emerging market economies' access to
external capital markets. For most emerging markets, external borrowing
has been the only financial game in town for much of the past two
centuries, and our debt thresholds are calculated accordingly. Over the
past decade or so, however, a number of emerging market economies have,
for the first time, seen a rapid expansion in domestic, market-based
debt, as we document using an extensive new data set, which we present
in the paper's fourth section. The calculus of domestic default
obviously differs from that of default on external debt, and we lack
sufficient historical data to investigate the question fully. However,
we argue that a record of external debt intolerance is likely to be a
good predictor of future domestic debt intolerance. It is certainly the
case that many of the major debt crises of the past ten years have
involved domestic debt, and that the countries that seem to be
experiencing domestic debt intolerance rank high on our debt intolerance
measures. (5)
Finally, if serial default is such a pervasive phenomenon, why do
markets repeatedly lend to debt-intolerant countries to the point where
the risk of a credit event--a default or a restructuring--becomes
significant? Part of the reason may have to do with the procyclical
nature of capital markets, which have repeatedly lent vast sums to
emerging market economies in boom periods (which are often associated
with low returns in the industrial countries) only to retrench when
adverse shocks occur, producing painful "sudden stops." (6) As
for the extent to which borrowing countries themselves are complicit in
the problem, one can only conclude that, throughout history, governments
have often been too short-sighted (or too corrupt) to internalize the
significant risks that overborrowing produces over the longer term.
Moreover, in the modern era, multilateral institutions have been too
complacent (or have had too little leverage) when loans were pouring in.
Thus a central conclusion of this paper is that, for debt-intolerant
countries, mechanisms to limit borrowing, either through institutional
change on the debtor side, or--in the case of external
borrowing--through changes in the legal or regulatory systems of
creditor countries, are probably desirable. (7)
Debt Intolerance: Origins and Implications for Borrowing
We begin by sketching the history of debt intolerance and serial
default, to show how this history importantly influences what
"debtors' club" a country belongs to.
Debt Intolerance and Serial Default in Historical Perspective
A bit of historical context will help to explain our approach,
which draws on a country's long-term debt history. The basic point
is that many countries that have defaulted on their external debts have
done so repeatedly, with remarkable similarities across the cycles. For
example, many of the Latin American countries that are experiencing
severe debt problems today also experienced debt problems in the
1980s--and in the 1930s, and in the 1870s, and in the 1820s, and
generally at other times as well. Brazil, whose debt problems have
attracted much attention lately, has defaulted seven times on its
external debt over the past 175 years. During that same period,
Venezuela has defaulted nine times, as already noted, and Argentina four
times, not counting its most recent episode. But the problem is by no
means limited to Latin America. For example, Turkey, which has been a
center of attention of late, has defaulted six times over the past 175
years. These same countries have at times also defaulted, de facto, on
their internal obligations, including through high inflation or
hyperinflation. On the other side of the ledger, a number of countries
have strikingly averted outright default, or restructuring that reduced
the present value of their debt, over the decades and centuries. India,
Korea, Malaysia, Singapore, and Thailand are members of this honor roll.
The contrast between the histories of the nondefaulters and those
of the serial defaulters, summarized in table 1, is stunning. Default
can become a way of life. Over the period from 1824 to 1999, the debts
of Brazil and Argentina were either in default or undergoing
restructuring a quarter of the time, those of Venezuela and Colombia
almost 40 percent of the time, and that of Mexico for almost half of all
the years since its independence. On average, the serial defaulters have
had annual inflation exceeding 40 percent roughly a quarter of the time
as well. (8) By contrast, the emerging market economies in the table
that have no external default history do not count a single twelve-month
period with inflation over 40 percent among them. For future reference,
the table also includes a sampling of advanced economies with no modern
history of external default.
Today's emerging markets did not invent serial default. It has
been practiced in Europe since at least the sixteenth century, as table
2 illustrates. As already noted, Spain defaulted on its debt thirteen
times from the sixteenth through the nineteenth centuries, with the
first recorded default in 1557 and the last in 1882. In the nineteenth
century alone, Portugal, Germany, and Austria defaulted on their
external debts five times, and Greece, with four defaults during that
period, was not far behind. France defaulted on its debt eight times
between 1550 and 1800. (Admittedly, the French governments' debts
were mainly held internally before 1700, and "restructuring"
was often accomplished simply by beheading the creditors--giving new
meaning to the term "capital punishment." (9)
This central fact--that some countries seem to default
periodically, and others never--both compels us to write on this topic
and organizes our thinking. True, as we will later illustrate, history
is not everything. Countries can eventually outgrow debt intolerance,
but the process tends to be exceedingly slow, and backsliding is
extremely difficult to avoid.
Is Serial Default Really Such a Problem?
What does history tell us about the true costs of default? Might
periodic default (or, equivalently, restructuring) simply be a mechanism
for making debt more equity-like, that is, for effectively indexing a
country's debt service to its output performance? After all,
defaults typically occur during economic downturns. (10) Although there
must be some truth to this argument, our reading of history is that the
deadweight costs to defaulting on external debt can be significant,
particularly for a country's trade, investment flows, and economic
growth. In more advanced economies, external default can often cause
lasting damage to a country's financial system, not least because
of linkages between domestic and foreign financial markets. Indeed,
although we do not investigate the issue here, we conjecture that one of
the reasons why countries without a default history go to great lengths
to avoid defaulting is precisely to protect their banking and financial
systems. Conversely, weak financial intermediation in many serial
defaulters lowers their penalty to default. The lower costs of financial
disruption that these countries face may induce them to default at lower
thresholds, further weakening their financial systems and perpetuating
the cycle. One might make the same comment about tax systems, a point to
which we will return at the end of the paper. Countries where capital
flight and tax avoidance are high tend to have greater difficulty
meeting debt payments, forcing governments to seek more revenue from
relatively inelastic tax sources, in turn exacerbating flight and
avoidance. Default amplifies and ingrains this cycle.
We certainly do not want to overstate the costs of default or
restructuring, especially for serial defaulters. In fact, we will later
show that debt-intolerant countries rarely choose to grow or pay their
way out of heavy debt burdens without at least partial default. This
revealed preference on the part of debt-intolerant countries surely
tells us something. Indeed, many question whether, in the long run, the
costs of allowing or precipitating a default exceed the costs of an
international bailout, at least for some spectacular historical cases.
But there is another side to the question of whether debt-intolerant
countries really do borrow too much, and that has to do with the benefit
side of the equation. Our reading of the evidence, at least from the
1980s and 1990s, is that external borrowing was often driven by
shortsighted governments that were willing to take significant risks to
raise consumption temporarily, rather than to foster high-return
investment projects. The fact that the gains from borrowing come
quickly, whereas the increased risk of default is borne only in the
future, tilts shortsighted governments toward excessive debt. So,
although the costs of default are indeed often overstated, the benefits
to be reaped from external borrowing are often overstated even more,
especially if one looks at the longer-term welfare of the citizens of
debtor countries.
What does history tell us about the lenders? We do not need to
tackle this question here. Each of the periodic debt cycles the world
has witnessed has had its own unique character, either in the nature of
the lender (for example, bondholders in the 1930s and 1990s versus banks
in the 1970s and 1980s) or in the nature of the domestic borrower (for
example, state-owned railroads in the 1870s versus core governments
themselves in the 1980s). There are, however, clearly established cycles
in lending to emerging markets, with money often pouring in when rates
of return in industrial countries are low. Heavy borrowers are
particularly vulnerable to "sudden stops" or reversals of
capital flows, when returns in industrial countries once again pick up.
Debt Thresholds
Few macroeconomists would be surprised to learn that emerging
market economies with ratios of external debt to GNP above 150 percent
run a significant risk of default. After all, among advanced economies,
Japan's current debt-to-GDP ratio, at 120 percent, is almost
universally considered high. Yet default can and does occur at ratios of
external debt to GNP that would not be considered excessive for the
typical advanced economy: for example, Mexico's 1982 debt crisis
occurred at a ratio of debt to GNP of 47 percent, and Argentina's
2001 crisis at a ratio slightly above 50 percent.
We begin our investigation of the debt thresholds of emerging
market economies by chronicling all episodes of default or restructuring
of external debt among middle-income economies during the period from
1970 to 2001. (11) Table 3 lists twenty-seven countries that suffered at
least one default or restructuring during that period, the first year of
each episode, and the country's ratios of external debt to GNP and
to exports at the end of the year in which the episode occurred. (Many
episodes lasted several years.) It is obvious from the table that
Mexico's 1982 default and Argentina's 2001 default were not
exceptions: many other countries also suffered adverse credit events at
levels of debt below 50 percent of GNP. Table 4 shows further that
external debt exceeded 100 percent of GNP in only 13 percent of these
episodes, that more than half of these episodes occurred at ratios of
debt to GNP below 60 percent, and that defaults occurred despite debt
being less than 40 percent of GNP in 13 percent of episodes. (12)
(Indeed, the external debt-to-GNP thresholds reported in table 3 are
biased upward, because the debt-to-GNP ratios corresponding to the year
of the credit event are driven up by the real depreciation that
typically accompanies the event.)
We next compare the external indebtedness profiles of emerging
market economies with and without a history of default. The top panel of
figure 1 shows the frequency distribution of the external debt-to-GNP
ratio, and the bottom panel the external debt-to-exports ratio, for two
groups of countries over the period 1970 2000. The two distributions are
very distinct and show that defaulters borrow more (even though their
ratings tend to be worse at a given level of debt) than nondefaulters.
The gap in external debt ratios between those emerging market economies
with and those without a history of default widens further when the
ratio of external debt to exports is considered. It appears that those
countries that risk default the most when they borrow (that is, those
with the greatest debt intolerance) also borrow the most--much as if a
lactose-intolerant individual were addicted to milk. It should be no
surprise, then, that so many capital flow cycles end in an ugly credit
event.
[FIGURE 1 OMITTED]
Figure 2 presents a subset of the numbers that underpin figure 1,
as well as the cumulative distribution of external debt-to-GNP ratios
for defaulters and nondefaulters. Over half of the countries with sound
credit histories have ratios of external debt to GNP below 35 percent
(and 47 percent have ratios below 30 percent). By contrast, for those
countries with a relatively tarnished credit history, a threshold
external debt-to-GNP ratio above 40 percent is required to capture the
majority of observations. We can see already from table 4 and figure 2,
without taking into account any country-specific factors that might
explain debt intolerance, that when external debt exceeds 30 to 35
percent of GNP in a debt-intolerant country, the risk of a credit event
starts to increase significantly. (13) We will later derive
country-specific bounds that are much stricter for debt-intolerant
countries.
[FIGURE 2 OMITTED]
The Components of Debt Intolerance
To operationalize the measurement of debt intolerance, we focus on
two indicators: the sovereign debt ratings reported by Institutional
investor, and the external debt-to-GNP ratio (or, alternatively, the
external debt-to-exports ratio). The Institutional Investor ratings
(IIR), which are compiled twice a year, are based on information
provided by economists and sovereign risk analysts at leading global
banks and securities firms. The ratings grade each country on a scale
from 0 to 100, with a rating of 100 given to those countries perceived
as having the lowest chance of defaulting on their government debt
obligations. (14) Hence we take the transformed variable (100--IIR) as a
proxy for default risk. Market-based measures of default risk are also
available, but only for a much smaller group of countries and over a
much shorter sample period. (15)
The second major component of our debt intolerance measure is total
external debt, scaled either by GNP or by exports. We emphasize total
(public and private) external debt because most government debt in
emerging markets until the late 1980s was external, and because it often
happens that external debt that was private before a crisis becomes
public after the fact. (16) (As we later show, however, in future
analyses it will be equally important to measure intolerance with
reference to the growing stock of domestic public debt.)
Figure 3 plots against each other the major components of debt
intolerance for each year in the period 1979-2000 for sixteen emerging
market economies. As expected, our preferred risk measure (100--IIR)
tends to rise with the stock of external debt, but the relationship may
be nonlinear. In particular, when the risk measure is very high
(concretely, when the IIR falls below 30), it matters little whether the
external debt-to-GNP ratio is 80 percent or 160 percent, or whether the
external debt-to-exports ratio is 300 percent or 700 percent. This
nonlinearity simply reflects the fact that, below a certain threshold of
the IIR, typically about 24, the country has usually lost all access to
private capital markets. (17)
[FIGURE 3 OMITTED]
Table 5 shows the period averages of various measures of risk and
external debt (the components of debt intolerance) for a representative
sample of countries, which we will refer to as our core sample (see
appendix B). Because some researchers have argued that the
"right" benchmark for emerging market indebtedness is the
level of public debt that advanced economies are able to sustain, (18)
table 5 also includes this measure for a group of nondefaulting advanced
economies. The table makes plain that, although the relationship between
external debt and risk may be monotonic for emerging market economies,
it is clearly not monotonic for the public debt of advanced economies;
in those countries, relatively high levels of government debt can
coexist with low levels of risk. Table 5, together with table 6, which
shows the panel pairwise correlations between the two debt ratios and
three measures of risk for a larger sample of developing economies, also
highlights the fact that the different measures of risk present a very
similar picture both of countries' relative debt intolerance and of
the correlation between risk and indebtedness. As anticipated by figure
3, the correlations are uniformly positive in all regional groupings and
are usually statistically significant.
Debt Intolerance: Clubs and Regions
We next use our component measures of debt intolerance--IIR risk
ratings and external debt ratios--in a two-step algorithm, mapped in
figure 4, to define debtors' clubs and vulnerability regions. We
begin by calculating the mean (45.9) and standard deviation (21.8) of
the IIR for fifty-three developing and industrial countries over 1979
2002, and we use these statistics to loosely group countries into three
"clubs" (the countries and their period averages are listed in
appendix table B1). Club A includes those countries whose average IIR
over the period 1979 2002 is 67.7 (the mean plus one standard deviation)
or above; members of this club--essentially, the advanced
economies--enjoy virtually continuous access to capital markets. As
their repayment history and debt absorption capacity show (tables 1 and
3), these countries are the least debt intolerant. At the opposite
extreme, in club C, are those countries whose average IIR is below 24.2
(the mean minus one standard deviation). This club includes those
countries that are so debt intolerant that markets give them only
sporadic opportunities to borrow; hence their primary sources of
external financing are grants and official loans. Club B includes the
remaining countries and is the main focus of our analysis. These
countries exhibit varying degrees of debt intolerance. (19) They occupy
the "indeterminate" region of theoretical debt models, the
region where default risk is nontrivial, and where self-fulfilling debt
runs may trigger a crisis. Club B is large and includes both countries
that are on the cusp of graduation to club A as well as countries that
may be on the brink of default. The membership of club B therefore
requires further discrimination. Our preferred creditworthiness measure,
100--IIR, is no longer a sufficient statistic, and information on the
extent of leveraging (the second component of debt intolerance) is
necessary to pin down more precisely the relative degree of debt
intolerance within this club.
[FIGURE 4 OMITTED]
Hence, in the second step, our algorithm further subdivides the
"indeterminate" club B into four "regions," ranging
from least to most debt intolerant. The region of least debt intolerance
(which we call region I) includes those countries whose average IIR over
1979-2002 was above the mean and whose ratio of external debt to GNP was
below 35 percent. (As previously noted, countries below that threshold
account for over half of the observations among nondefaulters over
1970-2001.) Region II includes countries whose average IIR is above the
mean but whose external debt-to-GNP ratio is above 35 percent. Because
their higher-than-average long-run creditworthiness enables them to
sustain a higher-than-average debt burden, countries in this group are
the second-least debt-intolerant group. More debt intolerant still are
the region III countries, whose long-run creditworthiness (as measured
by the average IIR) is below the mean and whose external debt is below
35 percent of GNP. Lastly, the countries with the highest debt
intolerance are those in region IV, with an average IIR below the mean
and external debt levels above 35 percent of GNP. Countries in region IV
can easily fall into club C, losing their market access to credit. For
example, in early 2000 Argentina's IIR was 43 and its external
debt-to-GNP ratio was 51 percent, making it a region IV country. As of
September 2002, Argentina's IIR had dropped to 15.8, indicating
that the country had backslid into club C. As we will see, countries do
not graduate to higher clubs easily; indeed, it can take many decades of
impeccable repayment performance and low debt levels to graduate from
club B to club A.
Debt Intolerance: The Role of History
We begin this section by offering some basic insights into the
historical origins of country risk, which some have mislabeled
"original sin." (20) In particular, we focus on
countries' credit and inflation histories. We then use our core
results for several purposes: to illustrate how to calculate
country-specific debt thresholds, in contrast to the coarse threshold
(an external debt-to-GNP ratio of 35 percent) derived earlier; to show
how countries in club B shift between debt intolerance regions over
time; to illustrate how countries may graduate into a better club: and
to show how a simple summary statistic can rank countries within club B
according to their relative degree of debt intolerance.
Historical Determinants of Country Risk
To prepare to investigate econometrically the link between a
country's external credit and inflation history, on the one hand,
and its sovereign risk, on the other, we broaden our sample from the
twenty countries listed in table 5 to the fifty-three industrial and
developing economies listed in appendix table B1. The IIR rating, our
preferred measure of creditworthiness, is the dependent variable in all
the regressions. To measure a country's credit history, we
calculate the percentage of years in the sample when the country was
either in default on its external debt or undergoing a restructuring of
its debt. Two different periods are analyzed: 1824-1999 and 1946-1999.
Another indicator of credit history we use is the number of years since
the country's last default or restructuring on its external debt.
We also calculate for each country the percentage of twelve-month
periods during 1958-2000 when annual inflation was above 40 percent.
(21) Although it is quite reasonable to expect that debt intolerance may
itself lead to a higher probability of default (because markets charge a
higher premium on borrowing) or a higher probability of inflation
(because often the country has no other sources of deficit financing),
we are not too concerned about the potential endogeneity of these two
regressors, because they are largely predetermined relative to the main
sample period, which is 1979-2000. (22)
However, using 1970-2000 averages of the external debt-to-GNP ratio
(or the external debt-to-exports ratio) as a regressor does pose a
potential endogeneity problem. Therefore we report the results of both
ordinary least-squares and instrumental variable estimations, in the
latter case using the average debt-to-GNP ratio during 1970-78 as an
instrument. Because White's test revealed heteroskedasticity in the
residuals, we correct accordingly to ensure the consistency of the
standard errors. To investigate whether the differences in debt
tolerance between countries in club A and the rest of the sample are
systematic, we also use a dummy variable tier club A in the regressions,
allowing the club A countries to have a different slope coefficient on
the debt-to-GNP ratio.
Table 7 presents the results of six different specifications of the
cross-country regressions. The results show that few variables suffice
to account for a significant portion (about 75 percent) of the
cross-country variation in creditworthiness as measured by the IIR. As
expected, a poor track record on repayment or inflation lowers the
rating and increases risk. In the regressions, all but the debt-to-GNP
coefficients are constrained to be the same for club A and all other
countries. One common and robust result across these regressions is that
the external debt-to-GNP ratio enters with a negative (and significant)
coefficient for all the countries in clubs B and C, whereas it has a
positive coefficient for the advanced economies in club A. (23) As we
will show next, this result is robust to the addition of a time
dimension to the regressions. Although not reported here, these results
are equally robust to the use of the external debt-to-exports ratio in
lieu of the external debt-to-GNP ratio as a regressor.
We also performed two panel regressions (estimated with fixed
effects and robust standard errors) in which the IIR was regressed
against the external debt-to-GNP ratio and three dummy variables
representing periods roughly corresponding to the phases of the most
recent debt cycle. The results are as follows:
[IIR.sub.it] = [[alpha].sub.it] - 3.01[X.sub.1] - 12.22[X.sub.2] -
7.01[X.sub.3] - 0.13[X.sub.4] (-2.06) (-8.98) (-5.13) (-10.37)
Adjusted [R.sup.2] = 0.78; N = 769
[IIR.sub.it] = [[alpha].sub.it] - 3.61[X.sub.1] - 12.33[X.sub.2] -
6.62[X.sub.3] - 0.11[X.sub.4] + 0.01[X.sub.5] (-2.90) (-10.69) (-5.60)
(-9.24) (0.04)
Adjusted [R.sup.2] = 0.91; N= 1,030 (t statistics in parentheses).
In these regressions [alpha], represents country-specific fixed
effects (not reported), [X.sub.1] is a dummy variable for the period
immediately before the 1980s debt crisis (1980-82), [X.sub.2] is a dummy
for the period during the crisis and the Brady plan resolution
(1983-93), [X.sub.3] is a dummy for the period after the crisis
(1994-2000), [X.sub.4] interacts the country's external debt-to-GNP
ratio with a dummy variable for clubs B and C, and [X.sub.5] interacts
the debt-to-GNP ratio with a dummy for club A; i and t index countries
and years, respectively. Regressions including year-by-year dummies
(reported in appendix tables D1 to D4) reveal that the IIR data
naturally demarcate these three distinct subperiods. The first of the
two regressions above includes thirty-eight of the fifty-three countries
in the cross-sectional regressions (the countries in clubs B and C),
whereas the second regression also includes the fifteen countries in
club A and (as before) allows them to have a different slope coefficient
on the debt-to-GNP ratio, in addition to a different intercept.
The panel regressions (including those reported in the appendix)
confirm a central finding of the cross-sectional regressions: debt is
significantly and negatively related to perceived creditworthiness for
the debt-intolerant countries in clubs B and C. in contrast, in the
regression that includes the advanced economies, which make up most of
club A, the coefficient on debt is positive--although, unlike in the
cross-sectional results, it is not statistically significant. The
coefficients for the three subperiods are all statistically significant,
and their pattern has an intuitive interpretation. Average IIRs were
higher across the board before the debt crisis of the 1980s; these
ratings then plummeted as the debt crisis unfolded, and they recovered
only partially in the 1990s, never quite reaching their precrisis
levels. Thus debt intolerance is long lived.
Country-Specific Debt Thresholds
We now use some of our core results to illustrate that, although an
external debt-to-output ratio of 35 percent is a minimal debt
"safety" threshold for those countries that have not made it
to club A, countries with a weak credit history may become highly
vulnerable even at much lower levels of external debt. To illustrate
this basic but critical point, we perform the following exercise. We use
the estimated coefficients from the first regression in table 7,
together with the actual values of the regressors, to predict values of
the IIR for varying ratios of external debt to GNP for a given country.
Table 8 illustrates the exercise for the cases of Argentina and Malaysia
for levels of external debt ranging from 0 to 45 percent of GNP. Until
Argentina's default in December 2001, both countries were members
of club B.
The exercise shows clearly that Argentina's precarious debt
intolerance situation is more severe than Malaysia's. Argentina
remains in the relatively safe region I only as long as its external
debt remains below 15 percent of GNP, whereas Malaysia remains in region
I up to a debt-to-GNP ratio of 35 percent, and it is still in the
relatively safe region II with a debt of 40 percent of GNP. These
contrasting patterns can be seen across a number of other cases (results
not shown): Argentina is representative of the many countries with a
relatively weak credit and inflation history, whereas Malaysia is
representative of countries with no history of default or high
inflation.
Moving between Debt Intolerance Regions
To illustrate how countries in club B can become more or less
vulnerable over time, table 9 presents an exercise similar to that in
table 8 for the case of Brazil. The main difference is that, this time,
rather than using hypothetical debt ratios, we estimate IIRs for Brazil
using the country's actual external debt-to-GNP ratios for each
year from 1979 to 2001. In addition to these estimated IIRs, we report
Brazil's actual IIR in the same year as well as the difference
between the two. The last two columns show the debt intolerance region
within club B in which Brazil actually found itself (based on its
external debt and actual IIR, as described in figure 4) and the region
in which it would have fallen based on its external debt and the
estimated IIR. The shaded area indicates the period when Brazil's
external debt was in default or undergoing a restructuring, and the
characters in boldface in the last two columns indicate the years in
which discrepancies are observed between the actual and the estimated
region.
A pattern worth remarking is that Brazil started the estimation
period in 1979 with a fairly high IIR, and although its IIR declined
thereafter, it remained quite high until the default and restructuring
of 1983. Also, the gap between Brazil's actual and its estimated
IIR is highest in the runup to that credit event. According to its
actual IIR and external debt ratio, Brazil was in the relatively safe
region II on the eve of its 1983 default, whereas according to our
estimated IIR it belonged in the most debt-intolerant region (region
IV). After the credit event, Brazil remained in the most debt-intolerant
region for a few years by both measures. It is noteworthy that, whereas
the actual I1R was well above the estimated IIR in the years prior to
default, it was below the estimated measure in several of the years
following the initial default (although the gap was not large enough to
generate a discrepancy between the actual and the predicted region).
This pattern is also evident in many other episodes in our sample (not
shown) and lends support to the view that ratings tend to be
procyclical.
Graduating from Debt Intolerance: Some Suggestive Evidence
As observed above for Brazil, in some years a country's actual
IIR can be considerably higher than the estimated rating obtained from
our simple model. On the whole, however, these gaps are neither
persistent over time nor systematic in any one direction. Nonetheless,
for some countries we do observe consistent, persistent, and sizable
positive gaps between the actual and the predicted IIR. One
interpretation is that these countries either have graduated, or are in
the process of graduating, from club B.
To explore the countries in our sample that are plausible
graduation candidates, we calculate the difference between the actual
and the predicted IIR averaged over the years 1992-2000--roughly the
second half of the estimation period. The five countries with the
largest gaps during this period are shown, in descending order, in table
10. Not surprisingly, Greece and Portugal stand out as the most obvious
possible cases of graduation from club B to club A. Far back in third
and fourth place are Malaysia and Thailand (their 1997-98 crises
notwithstanding), both of which have no history of default or high
inflation. Chile, the most consistently good performer in Latin America,
ranks fifth, suggesting that it may have begun to decouple from its long
history of high inflation and adverse credit events.
Ranking Debt Intolerance within Club B
We have presented evidence supporting the notion that there is a
group of countries whose degree of debt intolerance is indeterminate
(club B), and that the countries in this group range from relatively
"safe" countries (region I) to more precarious countries
(regions III and IV) where adverse credit events become increasingly
likely. Table 11 presents, for the fourteen emerging markets in our core
sample, two measures of debt intolerance that allow one to assess the
relative degree of debt intolerance along a continuum: the average ratio
of external debt to GNP over 1979-2000 divided by the average IIR, and
the average ratio of external debt to exports divided by the average
IIR. Regardless of which of these two summary measures one chooses,
those countries with the weakest credit histories register the highest
levels of debt intolerance. For example, the group average for the first
measure is more than twice as high for countries with a record of past
default as for those that have avoided default.
The difference between the two groups is much greater, however,
when one looks at the measure that uses the debt-to-exports ratio as the
numerator. These simple summary statistics could therefore be useful to
compare the relative degree of debt intolerance across countries (as
done here), and over time for any given country. (24)
Debt Sustainability and Debt Reversals
Thus far our analysis has focused on quantifying and explaining
external debt intolerance. To reiterate, the basic premise is that,
because of debt intolerance, some countries periodically have
disproportionate difficulty repaying their debts on the original terms,
even at levels of indebtedness that would be considered moderate for
countries that are not debt intolerant. Here we first discuss the
implications of debt intolerance for standard debt sustainability
analyses, and then turn our attention to what we call debt
reversals--episodes during which countries have managed to significantly
reduce their external debt relative to GNP. The latter analysis will
show that debt-intolerant countries very rarely achieve significant
reductions in their debt burden solely through sustained growth or lower
interest rates, but instead require some kind of adverse credit event
(default or restructuring) to reduce their debt. In addition, the
analysis will show that, following such an event, governments in
emerging market countries often quickly amass debt once again, and the
symptoms of debt intolerance reemerge, often leading to serial default.
This evidence will uncover some critical shortcomings of standard
sustainability exercises.
Implications of Debt Intolerance for Debt Sustainability Analysis
How does one square our proposed measures of debt intolerance and,
more broadly, the existence of debt intolerance with standard approaches
to assessing debt sustainability as practiced in both the public and the
private sector? Standard debt sustainability analysis, as applied to a
country's external debt, works off the following simple accounting
relationship:
(1) D(t + 1) = [1 + r(t)]D(t) - TB(t),
where D(t) is a country's external debt at time t, TB is its
trade balance, and r is the interest rate paid by the country on its
external debt. Simple manipulation leads to the following steady-state
expression:
(2) TB/Y =(r - g)(D/Y),
where TB/Y is the steady-state ratio of the trade balance to output
needed to stabilize the external debt ratio at D/Y, and g is the growth
rate of output. (A similar calculus applies to calculating sustainable
paths for total government debt.) It is well recognized that standard
debt sustainability analysis tends to be overly sanguine, in that it
does not sufficiently allow for the kinds of real-world shocks that
emerging market economies face (including confidence shocks, political
shocks, terms-of-trade shocks, and, not least, shocks to returns in
industrial countries). Efforts have therefore been made to find ways to
"stress-test" these sustainability calculations. (25)
Such efforts are useful, but our analysis of debt intolerance
suggests that it is also crucial to take other factors into account.
First, it is necessary to recognize that the interest rate a country
must pay on its debt is an endogenous variable, which depends, among
other things, on the country's debt-to-output (or debt-to-exports)
ratio. Because the interest rate on debt to private creditors can rise
very sharply with the level of debt (the rate charged by official
creditors, such as the international financial institutions, typically
does not change), a trajectory that may seem marginally sustainable
according to standard calculations may in fact be much more problematic
when debt intolerance is taken into account (not an uncommon situation,
to say the least). This is particularly likely in situations where a
country's debt-to-GNP ratio is initially projected to rise in the
near future, and only later projected to fall (again, a very common
situation).
Second, sustainability analyses need to take into account that a
country's initial level of debt (scaled by output or exports) may
already exceed, or be close to exceeding, what history suggests is that
country's tolerable debt burden. In cases where the initial level
of debt or the initial rise in D/Y takes a club B country into a region
of extreme debt intolerance (that is, into region IV), conventional
sustainability analyses are not likely to be meaningful or useful. Once
a country is in the "risk of default" region identified in
sovereign debt models and approximated by our earlier analysis, (26)
there is a risk of both dramatically higher interest rates and a sudden
loss of access to market financing. And, as we will see below, the
probability that a "virtuous cycle" of falling interest rates
and rapid growth will take the country's debt burden back to a safe
region is, unfortunately, typically low.
Identifying Debt Reversals
To identify episodes of large debt reversals for middle- and
low-income countries over the period 1970-2000, we select all episodes
where the ratio of external debt to GNP fell 25 percentage points or
more within any three-year period, and then ascertain whether the
decline in this ratio was caused by a fall in the numerator, a rise in
the denominator, or some combination of the two. (27) To exclude cases
where the decline in the ratio was primarily driven by changes in the
nominal value of dollar GNP, we consider only those episodes where
either the decline in the dollar value of external debt was 10 percent
or more over the three-year window, or average growth in the three-year
period was 5 percent a year or higher. This two-stage approach allows us
to identify the proximate causes of the debt reversal. If it is a
decline in debt, it may be due to either repayment or some type of
reduction in the present value of debt (that is, a restructuring);
alternatively, if the decline was due primarily (or solely) to growth,
it suggests that the country grew out of its debt.
We conducted the exercise for both low- and middle-income
developing economies. The algorithm yielded a total of fifty-three debt
reversal episodes for the period 1970-2000, twenty-six of which occurred
in middle-income countries and the rest in low-income countries.
The Debt Reversal Episodes
Table 12 lists those debt reversal episodes that occurred in
middle-income developing countries with populations of at [east 1
million, separating those cases that involved an adverse credit event (a
default or a restructuring) from those that did not. (28) Of the
twenty-two debt reversals identified, fifteen coincided with some type
of default or restructuring of external debt obligations. In five of the
seven episodes that did not coincide with a credit event, the debt
reversal was primarily effected through net debt repayments; in only one
of these episodes (Swaziland in 1985) did the debt ratio decline
strictly because the country grew out of its debt. However, growth was
also the principal factor explaining the decline in the debt ratio in
four of the fifteen credit event cases (Chile, Morocco, Panama, and the
Philippines) and a lesser factor in seven of those episodes, as well as
in four episodes that did not coincide with a credit event. Overall,
this exercise shows that growth alone is typically not sufficient to
allow countries to substantially reduce their debt burden--yet another
reason to be skeptical of overly sanguine standard sustainability
calculations for debt-intolerant countries.
Of those cases involving credit events, Russia and Egypt obtained
by far the largest reductions in their nominal debt burden in their
restructuring deals: $14 billion and $11 billion, respectively. Two
countries involved in the 1997-98 Asian crisis--Thailand and
Korea--engineered the largest debt repayments among those episodes where
a credit event was avoided.
Conspicuously absent from the large debt reversal episodes shown in
table 12 are the well-known Brady restructuring deals of the 1990s.
Although our algorithm does place Bulgaria, Costa Rica, Jordan, Nigeria,
and Vietnam in the debt reversal category, larger countries such as
Brazil, Mexico, and Poland do not register. The reasons for this
apparent puzzle are examined below.
The Missing Brady Bunch: Episodes of Rapid Releveraging
Table 13 traces the evolution of external debt in the seventeen
developing countries whose external obligations were restructured under
the umbrella of the Brady Plan deals pioneered by Mexico and Costa Rica
in the late 1980s. (29) It is clear from the table why our debt reversal
algorithm failed to pick up twelve of these seventeen countries. In ten
of those twelve cases, the reason is that the decline in the external
debt-to-GNP ratio produced by the Brady restructuring was less than 25
percentage points. But this is only part of the story. Argentina,
Nigeria, and Peru had higher debt-to-GNP ratios just three years after
their Brady deals than in the year before the restructuring. Moreover,
by the end of 2000, seven of the seventeen countries that had undertaken
a Brady-type restructuring (Argentina, Brazil, Ecuador, Peru, the
Philippines, Poland, and Uruguay) had ratios of external debt to GNP
that were higher than they were three years after the Brady deal, and
four of those countries (Argentina, Brazil, Ecuador, and Peru) had
higher debt ratios by the end of 2000 than just before the Brady deal.
By 2002 three members of the Brady bunch had once again defaulted on
their external debt (Argentina, Cote d'Ivoire, and Ecuador), and a
few others were teetering on the brink. The evidence clearly suggests
that, when assessing debt restructuring programs for highly
debt-intolerant countries, it is critical to ask whether measures can be
taken to reduce the likelihood of the problem remerging in the near
term.
Domestic Debt, Dollarization, and Liberalization
Up to this point, our analysis of debt intolerance has focused on a
country's total external debt. The reasons for this are twofold.
First, until recently, the theoretical literature on public debt in
emerging market economies focused primarily on external debt rather than
on total government debt. This common practice was grounded in the
observation that governments in most emerging markets had little scope
for financing their fiscal deficits by resorting to the domestic
placement of marketable debt. Second, a key point of our empirical
analysis has been to show that the external debt burdens that countries
are able, and have been able, to tolerate are systematically related to
their own credit and inflation histories. We have investigated this
proposition using time series for countries' level of external
indebtedness dating back to the 1970s. Unfortunately, there is not a
sufficient past record to allow a comparable empirical analysis of
domestic government debt. That said, an early read of the available
evidence suggests that a history of external debt intolerance is
probably a good predictor of domestic debt intolerance today.
Domestically issued, market-based government debt has become
increasingly important for emerging market economies, both as a source
of government financing and as a trigger for generalized debt and
financial crises. Domestically issued foreign currency debt (the
infamous tesobonos) was at the center of the Mexican crisis of December
1994. Such debt also contributed to the costly collapse of the
convertibility regime in Argentina in late 2001. And that debt presently
accounts for the lion's share of public debt in Brazil and Turkey
and will ultimately determine the fate of those countries' efforts
at financial stabilization. Argentina, Brazil, Mexico, and Turkey, of
course, all exhibit high external debt intolerance by our historical
measures.
Recognizing this fact, in this section we discuss some conceptual
issues related to the role of domestic government debt in emerging
market economies, and we document and explain some related
manifestations of debt intolerance--such as dollarization--and offer
some explanations for the rapid growth of domestic government debt in
recent years. The growth of such debt turns out to be a widespread
phenomenon in these economies. We conjecture that, in the future, the
same historical factors that explain external debt intolerance will
extend to domestic debt intolerance, as will the conclusions we have
drawn about how rare it is for countries to grow their way out of heavy
indebtedness.
There is no easy way to aggregate domestically issued and
externally issued government debt for the purpose of assessing financial
vulnerability or the likelihood of a debt crisis, and views differ on
how to do so. (30) To be sure, the view that external debt is completely
separable from domestically issued debt is dead wrong. As a by-product
of capital mobility and financial integration, foreigners hold
increasingly large amounts of the domestically issued debt of
governments of emerging markets, and their residents increasingly hold
instruments issued by governments in advanced economies. Financial
integration and open capital accounts encourage active arbitrage across
the two markets. In such a setting, a default on domestic government
debt can easily trigger a default on foreign debt, first for
reputational reasons, and second because induced output and exchange
rate effects can easily affect a country's prospects for servicing
its foreign debt, not least through the havoc that domestic default
wreaks on the banking system.
That said, it is also clearly wrong to assume that domestically
issued and foreign-issued debt are perfect substitutes. First,
foreigners typically do hold a large share of externally issued debt,
whereas domestic residents typically hold most domestically issued debt.
Second, the risks of a cutoff of international trade credits and the
risks to future international borrowing are undeniably greater following
a default on foreign-issued debt. Thus the default calculus simply
cannot be the same for the two classes of debt instruments, and they
will not, in general, be equivalent. (The fundamental distinction
between them is clearly reflected in the fact that, at times, rating
agencies give the sovereign foreign-issued debt of a country a
significantly higher grade than its domestically issued debt.)
Given the lack of theoretical clarity on the distinction between
foreign-issued and domestically issued government debt, our objective in
this section is to present some basic facts and explore whether the
symptoms of debt intolerance seem broadly similar for both types of
instrument. We leave it to future research to delineate more clearly the
dividing lines between domestic and external debt in a global economy.
The Growth of Domestic Government Debt: New Data
Figure 5 illustrates the rapid growth of marketable domestic
government debt in emerging market economies in the late 1990s. By the
end of 2001, the stock of domestic government debt of the twenty-four
countries represented in the figure amounted to approximately $800
billion. More than 25 percent of that stock consisted of debt linked to
a foreign currency, and the bulk of the rest was often indexed to some
other market variable (for example, as of the end of 2002, about 45
percent of Brazil's domestic government debt was linked to the
overnight interest rate). The fraction of domestic government debt that
is not indexed to a market variable is typically of very short maturity.
Indeed, the successful issuance of nonindexed domestic currency bonds
for long-term financing remains as elusive today for the majority of
emerging market economies as it was two or three decades ago.
[FIGURE 5 OMITTED]
These trends suggest that domestic debt intolerance can manifest
itself in a manner similar to external debt intolerance. Indeed, as we
will later show for dollarization, many of the variables typically
linked to the vulnerability of a country's debt position (maturity
structure, indexation, and the like) are manifestations of debt
intolerance and may be viewed as linked to a common set of factors.
The surge in domestic government debt is also apparent in the
emerging market economies that formed the core sample of our analysis of
external debt intolerance. Table 14 shows that the stock of domestic
government debt in this group of countries has increased markedly over
the last two decades. The rise has been particularly large in the Asian
countries--both in those with no default history and in the Philippines,
which has defaulted only once in its modern history. But domestic
government debt has also risen significantly in a number of Latin
American countries, as well as in Turkey.
In all of the Asian countries in the core sample except India, the
buildup of domestic government debt was propelled by the
recapitalization of domestic financial systems that governments
engineered in the aftermath of the 1997-98 crisis. Financial system
bailouts also contributed to the rise of domestic government debt in
Mexico and Turkey. In the other cases, including India, the buildup of
domestic public debt has primarily reflected fiscal profligacy. More
precisely, as we will show later, governments' inability (or
unwillingness) to offset the revenue losses stemming from trade and
financial reform, and from disinflation, with new taxes or lower
spending sets them up for a fall.
Regardless of its origins, and notwithstanding the positive effects
that government debt may have for domestic financial markets, the rise
of domestic public debt in many emerging market economies arguably
overshadows the progress that many of them have made in containing their
external debt burden, raising complex questions about their ability to
overcome longstanding debt intolerance. Barring a relatively rapid
overhaul of their tax and legal systems or determined efforts to reduce
their spending, it seems unreasonable to expect that the governments of
all these countries will refrain from doing to their domestically issued
debt what so many of them in the past have done so often to their
external obligations. Indeed, table 14 suggests that a wave of
restructuring or outright default on domestic government debts looms
large on the horizon for many emerging market economies in the early
part of the twenty-first century.
Dollarization as a Manifestation of Debt Intolerance
The external debts of emerging market economies are, almost without
exception, denominated in foreign currency. As discussed in the
preceding section, however, governments in many emerging markets today
also issue domestic debt linked to a foreign currency. Even more
countries, including many that have experienced very high or chronic
inflation, have highly dollarized banking systems. Table 15 provides a
few summary indicators of the degree of domestic dollarization in the
emerging market economies in our core sample for the period 1996-2001.
The last column of the table reports the average value for the period of
a composite dollarization index, which ranges from zero when there is no
domestic dollarization of any form to a maximum of 20 when the domestic
financial system is highly dollarized. (31)
The table shows considerable variation in the degree of domestic
dollarization among countries with a history of default, with Argentina
scoring very high on the index but Colombia and Venezuela very low. On
the whole, however, countries with a patchier credit history have more
domestic dollarization on any of these measures than do countries with
no default history. Thus, for example, according to the composite index,
countries with a history of external debt default are about four times
more dollarized than the most dollarized nondefaulting country
(Malaysia). The likely reason is that, by and large, debt-intolerant
countries tend to have a history of high (and often chronic) inflation.
We performed a cross-country regression of the domestic
dollarization index shown in table 15 against the same independent
variables used in the previous section to explain countries'
average Institutional Investor ratings (that is, their long-run
creditworthiness), namely, credit and inflation histories and
debt-to-output ratios. The results are as follows:
[Index.sub.i] = 0.04 - 2.30[X.sub.1] + 0.08[X.sub.2] +
0.05[X.sub.3] + 0.04[X.sub.4] (0.03) (1.59) (2.67) (1.67) (2.00)
Adjusted [R.sub.2] = 0.31; N = 62 (t statistics in parentheses).
In this regression, [X.sub.1] is an intercept dummy for club A
countries; [X.sub.2] is the percentage of twelve-month periods since
1948 when inflation in country i was at least 40 percent; [X.sub.3] is
the percentage of years since 1824 during which the country was in
default or restructuring its debt; and [X.sub.4] is the external
debt-to-GNP ratio. Considering that dollarization is a form of
indexation, it is not surprising that a country's inflation history
is the most important variable in explaining it. The external
debt-to-GNP ratio is also significant and has a positive coefficient.
Although the interpretation of the role of external debt is less
obvious, a reasonable conjecture is that, when the external debt burden
is high, governments are more likely to resort to inflationary financing
of their fiscal imbalances and, in the process, to suffocate the
development of a market for nominal government debt in domestic
currency. Indeed, this has clearly happened in many of the highly
dollarized economies.
Liberalization, Stabilization, and Its Consequences for Debt
Many factors contributed to the alarming rise in domestic
government debt reported in table 14. Key among these have been the
revenue losses from the wide-ranging liberalizations undertaken by
emerging markets since the late 1980s. The last column of table 16 shows
that trade liberalization typically entailed revenue losses for the
emerging markets in our core sample. A similar pattern is discernible in
figure 6. The left-hand panels show a steady decline in trade tax
revenue as a share of GDP in four countries from our core sample during
that period. In some cases this revenue loss was offset by higher
revenue from other sources (such as value added taxes). However, the
estimates in table 16 show that, for the group as a whole, total tax
revenue as a share of GDP also experienced a cumulative decline over the
last two decades.
[FIGURE 6 OMITTED]
Declining trade taxes were not the only cause of erosion of the
traditional sources of revenue in emerging market economies. In the wake
of financial liberalization, revenue from financial repression also
vanished, as table 17 shows. Interest rate ceilings were lifted, and
bank loans to the government at subsidized interest rates gave way to
market-based domestic public debt at high interest rates. As presciently
noted by Ronald McKinnon in the early 1990s (see footnote 5), the
outcome was often a significant increase in domestic interest outlays by
the government, a trend that is clearly captured in the right-hand
panels of figure 6 and in table 16 (for countries with a history of
default). Simply put, much of the debt that governments had long crammed
down the throats of financial intermediaries at below-market interest
rates suddenly became part of those governments' market debt
burden. Debt intolerance symptoms rose accordingly.
In addition to revenue losses and higher debt servicing costs, many
of the emerging market economies in our core sample--particularly the
group with a default history--had traditionally relied on revenue from
seigniorage to finance a nontrivial fraction of their fiscal deficits.
As those countries succeeded in reducing inflation, revenue from
seigniorage became much less important. As table 16 shows, the
cumulative decline was over 2 percent of GDP, and for some countries
(such as Argentina and Egypt, as shown in the middle panels of figure 6)
the decline was even greater. All in all, for those governments that did
not manage to bring expenditure in line with the new realities, one
outcome of liberalization and inflation stabilization has been a heavier
reliance on domestic or foreign debt financing, or both.
Reflections on Policies for Debt-Intolerant Countries
The sad fact that our analysis reveals is that once a country slips
into being a serial defaulter, it retains a high level of debt
intolerance that is difficult to shed. Countries can and do graduate to
greater creditworthiness, but the process is seldom fast or easy. Absent
the pull of an outside political anchor, such as the European Union or,
one hopes, the North American Free Trade Agreement for Mexico, recovery
may take decades or even centuries. The implications are certainly
sobering for sustainability exercises that ignore debt intolerance, and
even for debt restructuring plans that pretend to cure the problem
permanently, simply through a onetime reduction in the face value of a
country's debt.
How serious are the consequences of debt intolerance? Is a country
with weak internal structures that make it intolerant to debt doomed to
follow a trajectory of slower growth and higher macroeconomic
volatility? At some level, the answer has to be yes, but constrained
access to international capital markets is best viewed as a symptom, not
a cause, of the disease.
Rather, the institutional failings that make a country intolerant
to debt pose the real impediment. The basic problem is threefold. First,
the modern empirical growth literature increasingly points to
"soft" factors, such as institutions, corruption, and
governance, as far more important than differences in capital-labor
ratios in explaining cross-country differences in income per capita.
Simply equalizing the marginal product of physical capital across
countries (the sine qua non of capital market integration in a
deterministic world) only goes a limited way toward equalizing marginal
labor products. (32) Second, quantitative methods have similarly
suggested that the risk-sharing benefits of capital market integration
(that is, the lowering of consumption volatility as opposed to the
acceleration of consumption growth) may also be relatively modest.
Moreover, these results pertain to an idealized world where one does not
have to worry about gratuitous, policy-induced macroeconomic
instability, poor domestic bank regulation, corruption, and (not least)
policies that distort capital inflows toward short-term debt. (33)
Third, there is evidence to suggest that capital flows to emerging
markets are markedly procyclical, and that this may make macroeconomic
policies in these countries procyclical as well, as, for instance, when
capital outflows force a tightening of fiscal policy and the raising of
interest rates. (34) Arguably, more limited, but also more stable,
access to capital markets may do more to improve welfare than the
boom-bust pattern so often observed in the past. The deeply entrenched
idea that an emerging market economy's growth trajectory will be
hampered by limited access to debt markets is no longer as compelling as
was once thought.
The modern empirical growth literature does not actually paint
sharp distinctions between different types of capital flows, whether it
be debt versus equity, portfolio versus direct investment, or long-term
versus short-term. Practical policymakers, of course, are justifiably
quite concerned with the form that cross-border flows take. For example,
foreign direct investment (FDI) is generally thought to have properties
that make it preferable to debt: it is less volatile, it is often
associated with technology transfer, and so on. (35) We generally share
the view that FDI and other forms of equity investment are somewhat less
problematic than debt, but one wants to avoid overstating the case. In
practice, the three main types of capital inflows--FDI, portfolio
equity, and loans--are often interlinked: for example, foreign firms
often bring cash into a country in advance of building or acquiring
plant facilities. Moreover, derivative contracts often blur the three
categories, and even the most diligent statistical authorities can find
it hard to distinguish accurately among different types of foreign
capital inflows (not to mention that, when in doubt, some countries
prefer to label a given investment as FDI, to lower their apparent
vulnerability). Even with these qualifications, however, we believe that
governments in advanced economies can do more to discourage emerging
market economies from excessive dependence on risky nonindexed debt
relative to other forms of capital flows. (36)
Lastly, short-term debt, although typically identified as the main
culprit in precipitating debt crises, also helps facilitate trade in
goods and is necessary in some measure to allow private agents to
execute hedging strategies. Of course, one would imagine that most of
the essential benefits to having access to capital markets could be
enjoyed with relatively modest debt-to-GNP ratios.
All in all, debt intolerance need not be fatal to growth and
macroeconomic stability. However, the evidence presented here suggests
that, to overcome debt intolerance, policymakers need to be prepared to
keep debt levels--especially government debt levels--low for extended
periods while undertaking more basic structural reforms to ensure that
the country can eventually digest a heavier debt burden. This applies
not only to external debt but also to the very immediate and growing
problem of domestic government debt. Policymakers who face tremendous
short-term pressures will still choose to engage in high-risk borrowing,
and, at the right price, markets will let them. But an understanding of
the basic problem, at least, should guide the citizens of such
countries, not to mention the international lending institutions and the
broader international community, in making their own decisions.
In our view, developing a better understanding of the problem of
serial default on external debt obligations is essential to designing
better domestic and international economic policies aimed at crisis
prevention and resolution. As we have shown, debt intolerance can be
captured systematically by a relatively small number of variables,
principally a country's own history of default and high inflation.
Debt-intolerant countries face surprisingly low thresholds for external
borrowing, beyond which the risks of default or restructuring become
significant. With the recent explosion of domestic borrowing, as
documented by the new data presented in this paper, these thresholds for
external debt are now clearly even lower, although it remains an open
question to what extent domestic and external debt can be aggregated for
purposes of analysis. This question needs urgently to be addressed, in
part because many questions involving bailouts by the international
community surround it. Our initial results suggest that the same factors
that determine external debt intolerance (not to mention other
manifestations of debt intolerance, such as dollarization) are also
likely to impinge heavily on domestic debt intolerance. We have also
shown that whereas debt-intolerant countries need badly to find ways to
bring their debt-GNP ratios down to safer ground, doing so is not easy.
Historically, those countries that have escaped high external debt-GNP
ratios, through rapid growth or through sizable repayments over many
years, are very much the exception. Most large reductions in the
external debt of emerging markets have instead been achieved primarily
through restructuring or default. The challenge today is to find ways
other than still more debt to channel capital to debt-intolerant
countries, to prevent the cycle from repeating itself for yet another
century to come.
Conclusions
Cycles in capital flows to emerging market economies have been with
us now for nearly 200 years. Some of the players, both borrowers and
lenders, may change, but the patterns that the cycles follow have
remained quite similar over time. When interest rates are low, when
liquidity is ample, and when the prospects for equity markets dim in the
world's financial centers, investors will seek higher returns
elsewhere. During these periods, it is easier for governments in
emerging markets to borrow abroad--and borrow they do. But history has
shown that, for many of these countries, to borrow is to brook default.
As the track record of serial default highlights, many of these booms
ended in tears. The policy challenge for these countries is to address a
chronic long-term problem--their own debt intolerance--rather than take
remedial measures that will allow them to regain the favor of
international capital markets for a few brief months or years.
This paper has taken a first step toward making the concept of debt
intolerance operational. We have conjectured that, beyond reputational
factors, serial default may owe to a vicious cycle in which default
weakens a country's institutions, in turn making subsequent default
more likely. We have also stressed that safe debt thresholds vary from
country to country and depend importantly on history. Clearly, much more
research is needed to shed light on what other factors--economic,
political, institutional--figure in the calculus of what debt levels,
external and domestic, are sustainable and what are the true long-term
costs of default.
APPENDIX A
Definitions
External debt: the total liabilities of a country with foreign
creditors, both official (public) and private. Creditors often determine
all the terms of the debt contracts, which are normally subject to the
jurisdiction of the foreign creditors or (for multilateral credits) to
international law.
Total government (or public) debt: the total debt liabilities of a
government with both domestic and foreign creditors, where
"government" normally comprises the central administration,
provincial and local governments, and all entities that borrow with an
explicit government guarantee.
Government domestic debt: all debt liabilities of a government that
are issued under--and subject to--national jurisdiction, regardless of
the nationality of the creditor. Terms of the debt contracts may be
market determined or set unilaterally by the government.
Government foreign currency domestic debt: debt liabilities of a
government that are issued under national jurisdiction but expressed in
(or linked to) a currency different from the national currency.
APPENDIX B
Sample Description
TO ILLUSTRATE THE extent to which modern-day debt intolerance
arises from countries' own external credit histories (because of
persistence in certain economic and social characteristics as well as
reputational factors), we use throughout the paper a core sample
comprising three groups of countries: emerging market economies with a
history of default or restructuring of external debt, emerging market
economies without a history of default or restructuring, and advanced
economies, which mostly have no history of default except during wartime
(for instance, in the case of Japan and Italy during World War II).
Included in the first group are countries with a history of default or
restructuring that involved concessional terms: Argentina, Brazil,
Chile, Colombia, Egypt, Mexico, the Philippines, Turkey, and Venezuela.
Both of the other two groups consist of countries that have no history
of external debt default or restructuring, but we consider it important
to distinguish developing from advanced economies. Emerging market
economies with an unblemished credit record belong to a different debtor
"club" from their more advanced counterparts. The core
emerging market economies with no history of default are India, Korea,
Malaysia, Singapore, and Thailand. The core sample of advanced
industrial countries consists of Australia, Canada, Italy, New Zealand,
Norway, and the United States.
Appendix table B1 provides a complete list of the countries used in
the empirical analysis and their individual Institutional Investor
ratings averaged across 1979-2002.
Table B1. Countries in the Sample and Average Institutional Investor
Ratings, 1979-2002
Average Institutional
Country Investor rating
Club A: Institutional Investor rating [greater than or equal to] 67.7
United States 92.8
Japan 92.5
Canada 86.0
Norway 84.3
Singapore 79.9
Sweden 79.7
Australia 77.3
Finland 77.2
Denmark 76.9
Italy 76.4
Spain 73.8
Ireland 71.4
New Zealand 70.7
Hong Kong 68.0
Club B: Institutional Investor rating between 24.1 and 67.7
Malaysia 63.5
South Korea 63.4
Portugal 63.3
Saudi Arabia 62.8
Thailand 55.7
Greece 54.5
Czech Republic 54.5
Hungary 50.5
Chile 47.5
South Africa 46.8
India 46.5
Indonesia 46.0
Mexico 45.8
Colombia 44.6
Israel 42.8
Venezuela 41.5
Algeria 39.2
Ghana 37.6
Brazil 37.4
Uruguay 37.1
Papua New Guinea 35.5
Turkey 34.9
Philippines 34.7
Argentina 34.7
Morocco 34.6
Jordan 34.0
Egypt 33.7
Paraguay 32.7
Panama 32.5
Poland 32.2
Romania 31.4
Kenya 29.2
Costa Rica 28.3
Sri Lanka 28.2
Ecuador 27.7
Nigeria 26.0
Peru 25.9
Pakistan 25.7
Swaziland 25.4
Zimbabwe 24.9
Nepal 24.5
Club C: Institutional Investor rating [less than or equal to] 24.1
Dominican Republic 22.7
Jamaica 21.5
Bolivia 19.0
El Salvador 18.0
Mali 16.6
Tanzania 14.7
Ethiopia 11.5
Source: Institutional Investor, various issues.
APPENDIX C
DATA SOURCES
Table C1. Data Sources
Series Description and sources
Institutional Investor Institutional Investor, various issues
country credit ratings
Secondary market prices of Salonion Brothers, Inc.; ANZ Bank
debt Secondary Market Price Report
EMBI (Emerging Markets JP Morgan Chase
Bond Index) spread
External debt-to-GNP World Bank, Global Development
ratio Finance
External debt-to-exports World Bank, Global Development
ratio Finance
Interest payments on World Bank, Global Development
external debt Finance
General-government debt-to- OECD data
GNP ratio (OECD countries)
General-government OECD data
debt-to-exports ratio
(OECD countries)
Domestic government debt International Monetary Fund, Government
Finance Statistics: IMF staff estimates
Probability of inflation International Monetary Fund,
above 40 percent International Financial Statistics;
Reinhart and Rogoff (2002)
Probability of being in Beim and Calomiris (2001), Standard &
a state of default or Poor's Credit Week, Standard & Poor's
restructuring (1992), Reinhart (2002), authors'
calculations
Domestic dollarization index Reinhart, Rogoff, and Savastano (2003)
Ratio of foreign currency International Monetary Fluid,
deposits to broad money International Financial Statistics;
various central banks
Share of domestic govern- IMF stall estimates
ment debt denominated in
foreign currency
Ratio of central govern- International Monetary Fund,
meat expenditure to GDP Government Finance Statistics
Ratio of interest International Monetary Fund,
payments to GDP Government Finance Statistics
Ratio of central govern- International Monetary Fund,
sent revenue to GDP Government Finance Statistics
Ratio of tax revenue to GDP International Monetary Fund,
Government Finance Statistics
Ratio of trade taxes to GDP International Monetary Fund,
Government Finance Statistics
Ratio of seigniorage to GDP International Monetary Fund,
International Financial Statistics;
authors' calculations.
Series Sample period
Institutional Investor 1979-2002
country credit ratings
Secondary market prices of 1986-1992
debt
EMBI (Emerging Markets 1992-2002
Bond Index) spread
External debt-to-GNP 1970-2000
ratio
External debt-to-exports 1970-2000
ratio
Interest payments on 1970-2000
external debt
General-government debt-to- 1970-2002
GNP ratio (OECD countries)
General-government 1970-2002
debt-to-exports ratio
(OECD countries)
Domestic government debt 1980-1986
1996-2001
Probability of inflation 1958-2001
above 40 percent
Probability of being in 1824-1999
a state of default or
restructuring
Domestic dollarization index 1996-2001
Ratio of foreign currency 1996-2001
deposits to broad money
Share of domestic govern- 1996-2001
ment debt denominated in
foreign currency
Ratio of central govern- 1980-2000
meat expenditure to GDP
Ratio of interest 1980-2000
payments to GDP
Ratio of central govern- 1980-2000
sent revenue to GDP
Ratio of tax revenue to GDP 1980-2000
Ratio of trade taxes to GDP 1980-2000
Ratio of seigniorage to GDP 1980-2000
APPENDIX D
Supplemental Analyses
Table D1. Coefficient on Year Dummy Variable in Panel Regressions,
Emerging Markets Sample, 1979-2000 (a)
Standard
Year coefficient error t Statistic Probability
Debt/GNP -0.13 0.01 -9.93 0.00
1980 -1.59 1.78 -0.90 0.37
1981 -2.31 1.76 -1.31 0.19
1982 -5.17 1.77 -2.92 0.00
1983 -9.39 1.77 -5.32 0.00
1984 -12.60 1.77 -7.11 0.00
1985 -12.32 1.78 -6.91 0.00
1986 -11.91 1.79 -6.65 0.00
1987 -12.23 1.78 -6.84 0.00
1988 -12.74 1.78 -7.15 0.00
1989 -12.69 1.78 -7.12 0.00
1990 -13.17 1.77 -7.46 0.00
1991 -13.19 1.77 -7.47 0.00
1992 -13.48 1.74 -7.76 0.00
1993 -11.78 1.74 -6.79 0.00
1994 -9.97 1.72 -5.79 0.00
1995 -8.53 1.72 -4.97 0.00
1996 -7.85 1.71 -4.58 0.00
1997 -6.56 1.71 -3.83 0.00
1998 -5.94 1.72 -3.45 0.00
1999 -6.64 1.72 -3.86 0.00
2000 -4.26 1.72 -2.48 0.01
Source: Authors' regressions.
(a.) The dependent variable is the country's Institutional Investor
rating.
Table D2. Country-Specific Fixed Effects Coefficients in Panel
Regressions, Emerging Markets Sample, 1979-2000
Country Coefficient
Malaysia 79.18
Portugal 77.24
Korea 76.19
Saudi Arabia 72.04
Greece 70.81
Thailand 70.81
Czech Rep. 68.79
Hungary 65.91
Indonesia 64.78
Chile 63.11
Israel 61.18
Mexico 59.23
Colombia 58.48
India 57.89
Venezuela 57.67
South Africa 54.86
Poland 53.98
Morocco 52.42
Egypt 51.95
Jordan 56.38
Panama 51.82
Philippines 51.06
Brazil 50.26
Uruguay 50.17
Argentina 49.89
Turkey 48.47
Costa Rica 45.04
Ghana 48.45
Ecuador 48.15
Nigeria 47.56
Kenya 47.52
Paraguay 46.42
Sri Lanka 45.64
Peru 42.20
Romania 41.68
Pakistan 40.89
Zimbabwe 40.32
Source: Authors' regressions.
Table D3. Coefficient on Year Dummy Variable in Panel Regressions, Full
Sample, 1979-2000 (a)
Standard
Year Coefficient error t Statistic Probability
Debt/GNP,
club A -0.00 0.03 0.20 0.85
Debt/GNP,
non-club A -0.10 0.01 -8.79 0.00
1980 -1.76 1.51 -1.17 0.24
1981 -3.10 1.49 -2.08 0.04
1982 -5.96 1.49 -3.99 0.00
1983 -10.10 1.48 -6.81 0.00
1984 -12.77 1.48 -8.64 0.00
1985 -12.60 1.48 -8.49 0.00
1986 -12.16 1.49 -8.16 0.00
1987 -12.59 1.49 -8.47 0.00
1988 -13.02 1.48 -8.77 0.00
1989 -12.91 1.48 -8.74 0.00
1990 -12.98 1.47 -8.83 0.00
1991 -13.08 1.47 -8.92 0.00
1992 -13.10 1.46 -9.00 0.00
1993 -11.60 1.46 -7.95 0.00
1994 -9.76 1.46 -6.71 0.00
1995 -8.47 1.45 -5.83 0.00
1996 -7.70 1.45 -5.31 0.00
1997 -6.41 1.44 -4.46 0.00
1998 -5.72 1.44 -3.96 0.00
1999 -5.92 1.44 -4.10 0.00
2000 -3.32 1.44 -2.30 0.02
Source: Authors' regressions.
(a.) The dependent variable is the country's Institutional Investor
rating.
Table D4. Country-Specific Fixed Effects Coefficients in Panel
Regressions, Full Sample, 1979-2000
Country Coefficient
Japan 101.70
United States 101.50
Canada 94.32
Norway 92.29
Singapore 90.87
Denmark 87.48
Finland 86.61
Italy 84.16
Australia 80.68
Ireland 79.56
Malaysia 77.74
Korea 75.31
Saudi Arabia 72.07
Portugal 70.16
Thailand 69.49
Czech Rep. 67.42
Hungary 64.11
Indonesia 62.98
Greece 61.32
Chile 61.18
Mexico 57.94
Colombia 57.44
India 57.29
Venezuela 56.17
South Africa 53.99
Jordan 53.15
Poland 52.26
Israel 50.26
Morocco 50.11
Egypt 49.50
Brazil 49.26
Philippines 49.15
Panama 49.11
Uruguay 48.97
Argentina 48.56
Turkey 47.36
Ecuador 45.61
Ghana 45.41
Kenya 45.49
Paraguay 45.37
Nigeria 44.78
Sri Lanka 43.78
Costa Rica 42.86
Romania 41.06
Peru 40.25
Pakistan 39.56
Zimbabwe 39.05
Jamaica 38.72
Tanzania 37.83
Bolivia 36.32
Dominican Rep. 34.12
El Salvador 28.61
Source: Authors' regressions.
Table D5. Changes in Government Revenue and Expenditure in Emerging
Market Economies, 1980-2000
Percent of GDP
1980-85 to 1986-90 to 1990-95 to
Item 1986-90 1991-95 1996-2000
Countries with at least one default or restructuring since 1824
Argentina
Total expenditure n.a. n.a. 0.5
Interest payments -0.5 0.3 1.2
Total revenue -0.2 3.1 6.7
Tax revenue 1.2 0.4 0.9
Trade taxes 0.4 -0.7 -0.1
Government balance n.a. n.a. -6.2
Seigniorage revenue -0.3 -3.4 -1.1
Brazil
Total expenditure 9.7 -0.4 -6.6
Interest payments 12.7 -3.8 -8.5
Total revenue 1.4 2.1 -4.0
Tax revenue -0.9 0.6 1.6
Trade taxes -0.3 -0.1 0.2
Government balance 8.3 -2.4 -2.6
Seigniorage revenue 4.1 1.0 -6.7
Chile
Total expenditure -7.5 -2.8 -0.1
Interest payments 0.9 -0.6 -0.8
Total revenue -6.3 -0.9 -1.3
Tax revenue -5.1 0.5 -1.2
Trade taxes 0.3 -0.1 -0.5
Government balance -1.2 -2.0 1.2
Seigniorage revenue 0.4 -0.1 -0.7
Colombia
Total expenditure n.a. n.a. 4.3
Interest payments 0.6 0.1 1.2
Total revenue n.a. n.a. 1.3
Tax revenue 1.7 1.8 -0.8
Trade taxes 0.6 -1.2 -0.3
Government balance n.a. n.a. 3.0
Seigniorage revenue 0.5 -0.5 -1.3
Egypt
Total expenditure -10.3 1.4 -5.9
Interest payments 0.6 3.6 -1.3
Total revenue -10.7 5.2 -8.2
Tax revenue -7.2 3.2 -0.8
Trade taxes -3.4 -0.4 0.0
Government balance 0.4 -3.8 2.3
Seigniorage revenue -6.1 0.0 -0.9
Mexico
Total expenditure 1.9 -9.5 -0.2
Interest payments 7.9 -10.5 -0.8
Total revenue 0.4 -0.6 -1.5
Tax revenue 0.1 -1.1 -0.6
Trade taxes 0.0 0.2 -0.4
Government balance 1.5 -8.9 1.3
Seigniorage revenue -3.8 -1.2 0.2
Philippines
Total expenditure 4.4 2.1 0.5
Interest payments 3.9 -0.3 -1.5
Total revenue 2.7 3.4 -0.9
Tax revenue 1.5 3.2 0.0
Trade taxes 0.3 1.6 -1.5
Government balance 1.7 -1.3 1.4
Seigniorage revenue -1.7 0.4 -0.3
Turkey
Total expenditure n.a. 5.1 10.9
Interest payments n.a. 0.4 7.4
Total revenue n.a. 3.2 6.5
Tax revenue n.a. 1.9 6.0
Trade taxes n.a. -0.2 -0.3
Government balance n.a. 1.9 4.3
Seigniorage revenue 0.4 -0.4 0.3
Venezuela
Total expenditure -4.2 -1.1 0.6
Interest payments 1.0 0.8 -1.1
Total revenue -7.8 -1.8 1.1
Tax revenue 7.4 -1.4 -0.4
Trade taxes -0.6 -0.8 -0.2
Government balance 3.6 0.6 -0.5
Seigniorage revenue -0.3 1.1 -0.2
Countries with no default history
India
Total expenditure 2.8 -1.4 -0.2
Interest payments 1.1 0.7 0.3
Total revenue 1.1 -0.9 -0.5
Tax revenue 0.6 -1.3 -0.5
Trade taxes 0.9 -0.9 -0.4
Government balance 1.7 -0.5 0.4
Seigniorage revenue 0.3 0.0 -0.8
Korea
Total expenditure -1.5 0.9 0.9
Interest payments -0.3 -0.3 -0.1
Total revenue -0.6 1.0 2.0
Tax revenue -0.5 -0.1 0.7
Trade taxes -0.2 -1.1 0.0
Government balance -0.9 -0.1 -1.1
Seigniorage revenue 1.3 -0.4 -1.2
Malaysia
Total expenditure -6.8 -5.4 2.8
Interest payments 2.2 2.6 -1.7
Total revenue -2.3 0.3 -3.3
Tax revenue -4.0 1.7 -0.8
Trade taxes -2.4 -0.7 -0.9
Government balance -4.6 -5.7 0.5
Seigniorage revenue 0.5 1.8 -0.8
Singapore
Total expenditure 2.6 -7.7 2.2
Interest payments 0.6 -2.2 -1.2
Total revenue 3.1 0.4 6.3
Tax revenue -3.6 2.1 -1.2
Trade taxes -0.7 -0.3 -0.1
Government balance -0.4 -8.2 -4.0
Seigniorage revenue 0.0 -0.3 -1.0
Thailand
Total expenditure -3.0 0.2 2.4
Interest payments 0.4 -1.7 -0.3
Total revenue 1.9 1.7 -1.9
Tax revenue 1.6 1.7 -1.5
Trade taxes 0.2 -0.3 -1.3
Government balance -4.9 -1.5 4.3
Seigniorage revenue 0.5 0.1 -0.1
1980-85 to
Item 1996-2000
Countries with at least one default or restructuring since 1824
Argentina
Total expenditure 0.5
Interest payments 1.1
Total revenue 9.7
Tax revenue 2.5
Trade taxes -0.4
Government balance -6.2
Seigniorage revenue -4.7
Brazil
Total expenditure 2.7
Interest payments 0.4
Total revenue -0.6
Tax revenue 1.3
Trade taxes -0.2
Government balance 3.3
Seigniorage revenue -1.6
Chile
Total expenditure -10.4
Interest payments -0.6
Total revenue -8.5
Tax revenue -5.7
Trade taxes -0.3
Government balance -2.0
Seigniorage revenue -0.3
Colombia
Total expenditure 4.3
Interest payments 1.9
Total revenue 1.3
Tax revenue 2.7
Trade taxes -0.8
Government balance 3.0
Seigniorage revenue -1.3
Egypt
Total expenditure -14.8
Interest payments 2.9
Total revenue -13.7
Tax revenue -4.8
Trade taxes -3.9
Government balance -1.1
Seigniorage revenue -7.1
Mexico
Total expenditure -7.7
Interest payments -3.4
Total revenue -1.7
Tax revenue -1.6
Trade taxes -0.2
Government balance -0.1
Seigniorage revenue -4.7
Philippines
Total expenditure 6.9
Interest payments 2.2
Total revenue 5.1
Tax revenue 4.7
Trade taxes 0.4
Government balance 1.8
Seigniorage revenue -1.7
Turkey
Total expenditure 15.9
Interest payments 7.9
Total revenue 9.7
Tax revenue 7.9
Trade taxes -0.5
Government balance 6.3
Seigniorage revenue 0.4
Venezuela
Total expenditure -4.6
Interest payments 0.7
Total revenue -8.5
Tax revenue -9.1
Trade taxes -1.6
Government balance 3.8
Seigniorage revenue 0.5
Countries with no default history
India
Total expenditure 1.2
Interest payments 2.2
Total revenue -0.3
Tax revenue -1.1
Trade taxes 0.4
Government balance 1.5
Seigniorage revenue -0.4
Korea
Total expenditure 0.3
Interest payments -0.7
Total revenue 2.4
Tax revenue 0.0
Trade taxes -1.3
Government balance -2.0
Seigniorage revenue -0.3
Malaysia
Total expenditure 15.0
Interest payments -2.1
Total revenue -5.2
Tax revenue -3.1
Trade taxes -4.0
Government balance -9.8
Seigniorage revenue 1.6
Singapore
Total expenditure -2.9
Interest payments -2.8
Total revenue 9.8
Tax revenue -2.8
Trade taxes -1.1
Government balance -12.7
Seigniorage revenue -1.3
Thailand
Total expenditure -0.3
Interest payments -1.6
Total revenue 1.7
Tax revenue 1.7
Trade taxes -1.4
Government balance -2.1
Seigniorage revenue 0.5
Source: Authors' calculations using data from International Monetary
Fund Government Finance Statistics and International Financial
Statistics, various issues.
Table 1. Inflation, Default, and Risk of Default, Selected Countries,
1824-2001
Percent of
12-month
periods
with No. of
inflation default or
[greater than or equal to] 40 restructuring
percent, episodes,
Country 1958-2001 (a) 1824-1999 (b)
Emerging market economies with at least one external default or
restructuring since 1824
Argentina 47.2 4
Brazil 59.0 7
Chile 18.6 3
Colombia 0.8 7
Egypt 0.0 2
Mexico 16.7 8
Philippines 2.1 1
Turkey 57.8 6
Venezuela 11.6 9
Average 23.8 5.2
Emerging market economies with no external default history
India 0.0 0
Korea 0.0 0
Malaysia 0.0 0
Singapore 0.0 0
Thailand 0.0 0
Average 0.0 0
Industrial economies with no external default history
Australia 0.0 0
Canada 0.0 0
New Zealand 0.0 0
Norway 0.0 0
United 0.0 0
Kingdom
United States 0.0 0
Average 0.0 0
Percent Institu-
of years No. of tional
in a state Years since Investor
of default or last year in rating,
restructuring, default or September
Country 1824-1999 (b) restructuring 2002 (c)
Emerging market economies with at least one external default or
restructuring since 1824
Argentina 25.6 0 15.8
Brazil 25.6 7 39.9
Chile 23.3 17 66.1
Colombia 38.6 57 38.7
Egypt 12.5 17 45.5
Mexico 46.9 12 54.0
Philippines 18.5 10 44.9
Turkey 16.5 20 33.8
Venezuela 38.6 4 30.6
Average 29.6 16 41.6
Emerging market economies with no external default history
India 0.0 ... 47.3
Korea 0.0 ... 65.6
Malaysia 0.0 ... 57.7
Singapore 0.0 ... 86.1
Thailand 0.0 ... 51.9
Average 0.0 ... 61.7
Industrial economies with no external default history
Australia 0.0 ... 84.5
Canada 0.0 ... 89.4
New Zealand 0.0 ... 81.2
Norway 0.0 ... 93.1
United 0.0 ... 94.1
Kingdom
United States 0.0 ... 93.1
Average 0.0 ... 89.2
Source: Authors' calculations based on data in Beim and Calomiris
(2001); Standard & Poor's Credit Week, various issues; Institutional
Investor, various issues; International Monetary Fund, International
Financial Statistics, various issues.
(a.) Period begins in 1962:1 for Singapore, 1964:1 for Brazil, 1966:1
for Thailand, 1970:1 for Turkey, and 1971:1 for Korea.
(b.) Period begins in 1952 for Egypt and 1946 for the Philippines.
(c.) On a scale of 0 to 100, where 100 indicates the lowest probability
of default on gevernment debt.
Table 2. Defaults on External Debt in Europe before the Twentieth
Century
1501-1800 1801-1900
No. of No. of
Country defaults Years of default defaults
Spain 6 1557, 1575, 1596 7
1607, 1627, 1647
France 8 1558, 1624, 1648 n. a.
1661, 1701, 1715
1770, 1788
Portugal 1 1560 5
Germany (a) 1 1683 5
Austria n.a. n.a. 5
Greece n.a. n.a. 4
Bulgaria n.a. n.a. 2
Holland n.a. n.a. 1
Russia n.a. n.a. 1
Total 16 30
1801-1900
Total
Country Years of default defaults
Spain 1820, 1831, 1834 13
1851, 1867, 1872
1882
France 8
Portugal 1837, 1841, 1845 6
1852, 1890
Germany (a) 1807, 1812, 1813 6
1814, 1850
Austria 1802, 1805, 1811 5
1816, 1868
Greece 1826, 1843, 1860 4
1893
Bulgaria 1886, 1891 2
Holland 1814 1
Russia 1839 1
Total 46
Sources: Winkler (1933); Wynne (1951); Vives (1969). Bouchard (1891);
Boher (1970).
(a.) Defaults listed are those of Prussia in 1683, 1807, and 1813,
Westphalia in 1812. Hesse in 1814, and Schleswig-Holstein in 1850.
Table 3. External Debt Ratios in Middle-Income Countries at Time of
Adverse Credit Event, 1970-2001 (a)
Percent
External debt- External debt-
Initial year to-GNP ratio to-exports
of credit in initial ratio in
Country event year initial year
Albania 1990 45.8 616.3
Argentina 1982 55.1 447.3
2001 53.3 458.1
Bolivia 1980 92.5 246.4
Brazil 1983 50.1 393.6
Bulgaria 1990 57.1 154.0
Chile 1972 31.1 n.a.
1983 96.4 358.6
Costa Rica 1981 136.9 267.0
Dominican Rep. 1982 31.8 183.4
Ecuador 1982 60.1 281.8
1999 89.2 239.3
Egypt 1984 112.0 282.6
Guyana 1982 214.3 337.7
Honduras 1981 61.5 182.8
Iran 1992 42.5 77.7
Jamaica 1978 48.5 103.9
Jordan 1989 179.5 234.2
Mexico 1982 46.7 279.3
Morocco 1983 87.0 305.6
Panama 1983 88.1 56.9
Peru 1978 80.9 388.5
1984 62.0 288.9
Philippines 1983 70.6 278.1
Poland 1981 n.a. 108.1
Romania 1982 n.a. 73.1
Russia 1991 12.5 n.a.
1998 58.5 179.9
Trinidad and Tobago 1989 48.1 112.8
Turkey 1978 21.0 374.2
Uruguay 1983 63.7 204.0
Venezuela 1982 48.6 220.9
1995 44.1 147.2
Average 70.6 254.3
Sources: World Bank, Global Development Finance, various issues; Beim
and Calomiris (2001); Standard & Poor's Credit Week, various issues.
(a.) A "credit event" is a default on or restructuring of the country's
external debt. Debt ratios are based on end-of-period debt stocks.
Credit events in Iraq in 1990, South Africa in 1985, and Yugoslavia in
1983 are excluded because debt ratios are unavailable.
Table 4. Frequency Distribution of External Debt Ratios in
Middle-Income Countries at Time of Credit Event, 1970-2001 (a)
Percent of all
External debt-to-GNP ratio in first year of event credit events (b)
Below 40 percent 13
41 to 60 percent 40
61 to 80 percent 13
81 to 100 percent 20
Above 100 percent 13
Sources: Table 3 and authors' calculations.
(a.) Events for which debt ratios are not available are excluded from
the calculations.
(b.) Frequencies do not sum to 100 because of rounding.
Table 5. Indicators of Debt Intolerance, Selected Countries (a)
Average
Average secondary Average
Institutional market EMBI
Investor price of spread
rating, debt, (basis
Country 1979-2002 (b) 1986-92 (c) points) (d)
Emerging market economies with at least one external default or
restructuring since 1824
Argentina 34.7 31.0 1,756
Brazil 37.4 40.3 845
Chile 47.5 69.9 186
Colombia 44.6 70.0 649
Egypt 33.7 n.a. 442
Mexico 45.8 54.1 593
Philippines 34.7 54.1 464
Turkey 34.9 n.a. 663
Venezuela 41.5 57.2 1,021
Average 39.4 54.0 638
Emerging market economies with no external default history
India 46.5 n.a. n.a.
Korea 63.4 n.a. 236
Malaysia 63.5 n.a. 166
Singapore 79.9 n.a. n.a.
Thailand 55.7 n.a. 240
Average 61.8 n.a. 214
Industrial economies with no external default history
Australia 77.3 n.a. n.a.
Canada 86.0 n.a. n.a.
Italy 76.4 n.a. n.a.
New Zealand 70.7 n.a. n.a.
Norway 84.3 n.a. n.a.
United States 92.8 n.a. n.a.
Average 81.4 n.a. n.a.
Average Average
external external
debt- debt-
GNP ratio, exports ratio,
1970-2000 1970-2000
Country (percent) (percent)
Emerging market economies with at least one external default or
restructuring since 1824
Argentina 37.1 368.8
Brazil 30.5 330.7
Chile 58.4 220.7
Colombia 33.6 193.5
Egypt 70.6 226.7
Mexico 38.2 200.2
Philippines 55.2 200.3
Turkey 31.5 210.1
Venezuela 41.3 145.9
Average 44.0 232.9
Emerging market economies with no external default history
India 19.0 227.0
Korea 31.9 85.7
Malaysia 40.1 60.6
Singapore 7.7 4.5
Thailand 36.3 110.8
Average 27.0 97.7
Industrial economies with no external default history
Australia 29.8 159.3
Canada 68.9 234.4
Italy 81.6 366.0
New Zealand 51.9 167.3
Norway 34.4 87.5
United States 58.4 671.7
Average 54.2 281.0
Sources: World Bank, Global Development Finance, various issues:
Institutional Investor, various issues: data from JP Morgan Chase and
Solomon Brothers: ANZ Bank, Secondary Market Price Report, various
issues; OECD data.
(a.) Period averages.
(b.) Defined as in table 1.
(c.) In cents on the dollar based on monthly averages.
(d.) Difference between the current yield on the country traded
external debt and the yield on U.S. Treasury bonds of comparable
maturity. Data are averages through 2002; the initial date varies by
country as follows: Argentina, 1993; Brazil, Mexico, and Venezuela,
1992; Chile, Colombia, and Turkey, 1999, Egypt and Malaysia, 2002; the
Philippines and Thailand, 1997; Korea, 1998.
(c.) Debt ratios are based an total debt Issued by the general
government.
Table 6. Pairwise Correlations between Alternative Measures of Risk
and Debt by Developing Region
100 minus
100 minus secondary
Institutional market price
Investor of debt EMBI
Region ting, 1979-2000 1986-92 spread (a)
Correlations with external debt-to-GNP ratio
Full sample 0.40 * 0.47 * 0.55 *
Africa 0.22 0.65 * 0.73 *
Emerging Asia 0.44 * n.a. n.a.
Middle East 0.18 n.a. n.a.
Western Hemisphere 0.38 * 0.50 0.45 *
Correlationse with external debt-to-exports ratio
Full sample 0.61 * 0.58 * 0.37 *
Africa 0.60 * 0.59 * 0.67 *
Emerging Asia 0.74 * n.a. n.a.
Middle East 0.51 * n.a. n.a.
Western Hemisphere 0.43 * 0.59 0.06
Source. World Bank, Global Development Finance, various issues:
Institutional Investor, various issues; data from JP Morgan Chase and
Solomon Brothers: ANZ Bank, Secondary Market Price Report, various
issues.
* Statistically significant at the 5 percent level.
(a.) Defined as in table 5; excludes Russia.
Table 7. Regressions Explaining Institutional Investor Ratings with
Inflation, Default Histories, and Debt Ratios (a)
Least-squares
esimates
Independent variable 7-1 7-2 7-3
Percent of 12-month periods -0.16 -0.16 -0.11
with inflation [greater than or (-2.97) (-1.87) (-1.37)
to] 40%
Percent of years in default or -0.21
restructuring since 1824 (-2.10)
Percent of years in default or -0.17
restructuring since 1946 (-1.53)
No. of years since last 0.05
default or restructuring (1.93)
External debt-to-GNP -0.33 -0.34 -0.29
ratio x club B or C (-5.40) (-4.49) (-4.03)
dummy variable (b)
Debt-to-GNP ratio 0.28 0.29 0.27
x club A dummy variable (b) (3.63) (3.68) (3.62)
Adjusted [R.sup.2] 0.77 0.76 0.79
Instrumental
variables estimates
Independent variable 7-4 7-5 7-6
Percent of 12-month periods -0.14 -0.13 -0.08
with inflation [greater (-1.93) (-1.26) (-0.65)
than or equal to] 40%
Percent of years in default or -0.12
restructuring since 1824 (-1.33)
Percent of years in default or -0.12
restructuring since 1946 (-0.86)
No. of years since last 0.05
default or restructuring (1.91)
External debt-to-GNP -0.41 -0.39 -0.33
ratio x club B or C (-3.52) (-2.51) (-2.02)
dummy variable (b)
Debt-to-GNP ratio 0.31 0.34 0.33
x club A dummy variable (b) (2.12) (2.30) -2.23
Adjusted [R.sup.2] 0.74 0.74 0.77
Sources: Authors' calculation based on data in Beim and Calomiris
(2001); Institutional Investor, various issues; International Monetary
Fund, International Financial Statistics, various issues; Standard &
Poor's Credit Week, various week; Standard & Poor's (1992).
(a.) The dependent variable is the 1979-2000 average of the country's
Institutional Investor rating. Numbers in parentheses are t statistics.
Estimates are corrected for heteroskedasticity. The number of
observations is 53.
(b.) Data for the external debt-to-GDP ratio are 1970-2000 averages
Clubs are as defined in figure 4: appendix table B1 lists the countries
within each club.
Table 8. Predicted Institutional Investor Ratings and Debt Intolerance
Regions for Argentina and Malaysia
Argentina Malaysia
External debt-
to-CDP ratio Predicted Predicted
(percent) IIR Region (a) IIR Region (a)
0 51.4 I 61.1 I
5 49.3 I 59.0 I
10 47.3 I 57.0 I
15 45.2 III 54.9 I
20 43.2 III 52.9 I
25 41.1 III 50.8 I
30 39.1 III 48.8 I
35 37.0 III 46.7 II
40 34.9 IV 44.7 IV
45 32.9 IV 42.6 IV
Source: Authors' calculations based in results of regression 7-1 in
table 7.
(a.) Regions are as defined in figure 4.
Table 9. Brazil: Actual and Predicted Institutional Investor Ratings
and Regions (a)
Institutional Investor rating Region
Year Actual Predicted Difference (b) Actual Predicted
1979 64.9 36.9 27.9 I# III#
1980 55.4 35.5 19.9 I# III#
1981 49.3 35.2 14.1 II# IV#
1982 51.3 34.1 17.2 II# IV#
1983 42.9 27.9 15.0 IV IV
1984 29.9 27.7 2.2 IV IV
1985 31.3 29.2 2.1 IV IV
1986 33.6 31.7 1.9 IV IV
1987 33.6 31.6 2.0 III III
1988 28.9 33.6 -4.7 III III
1989 28.5 37.8 -9.4 III III
1990 26.9 37.7 -10.8 III III
1991 26.1 36.1 -10.0 III III
1992 27.1 34.7 -7.6 III III
1993 27.8 34.6 -6.9 III III
1994 29.6 36.8 -7.2 III III
1995 34.2 38.9 -4.8 III III
1996 37.1 38.7 -1.6 III III
1997 39.2 38.1 1.0 IV IV
1998 38.4 35.8 2.6 IV IV
1999 37.0 29.5 7.4 III III
2000 41.8 31.4 10.4 III III
2001 42.9 28.6 14.3 III# IV#
Source: Institutional Investor, various issues: authors' calculations
using results of regression 7-1 in table 7.
(a.) Shading indicates years when Brazil was in default or undergoing a
restructuring of its external debt; # type indicates years when the
actual region differs from the predicted region. Regions are as defined
in figure 4.
(b.) Details may not sum ta totals because of rounding.
Table 10. Differences in Actual and Predicted Institutional Investor
Ratings for Potential Graduates from Debt Intolerance (a)
Predicted Actual Actual minus
Country region region estimated IIR
Greece IV II 41.1
Portugal IV II 35.3
Thailand IV II 22.4
Malaysia IV II 21.2
Chile IV II 19.8
Memoranda:
Mean or full sample, 1992-2000 6.1
Standard deviation of full
sample 12.6
Mean excluding above five
countries 2.5
Source: Authors' calculations based on results of repression 7-1 in
table 7.
(a.) Regions are as defined in figure 4. Data are averages for
1992-2000.
Table 11. Summary Debt Intolerance Measures in Selected Emerging Market
Economies, 1979-2000
Country External debt-to-GNP ratio External debt-to-exports
divided by Institutional ratio divided by Institu-
Investor rating tional Investor rating
Countries with at least one external default or restructuring since
1824
Argentina 1.1 10.6
Brazil 0.8 8.8
Chile 1.2 4.7
Colombia 0.8 4.3
Egypt 2.1 6.7
Mexico 0.8 4.4
Philippines 1.6 5.8
Turkey 0.9 6.0
Venezuela 1.0 3.5
Average 1.1 6.1
Countries with no default history
India 0.4 4.2
Korea 0.5 1.4
Malaysia 0.6 1.0
Singapore 0.1 0.1
Thailand 0.7 2.0
Average 0.5 1.7
Source: Authors' calculations based on data from Institutional
Investor, various issues, and World Bank, Global Development Finance,
various issues.
Table 12. Episodes of Declining External Debt, 1970-2000 (a)
Debt-to-GNP ratio Cumulative
Start of (percent) change in
episode debt (billions
Country (year t) Year t Year t + 3 of dollars)
Countries experiencing default or restructuring during episode
Russia 1999 96 67 -14.1
Egypt 1987 110 79 -11.1
Iran 1993 42 16 -6.8
Jordan 1991 249 129 -1.8
Bulgaria 1992 116 81 -1.6
Costa Rica 1987 111 69 -1.0
Bolivia 1988 113 80 -0.8
Chile 1985 142 88 -0.8
Jamaica 1990 125 93 -0.6
Paraguay 1987 69 39 -0.4
Gabon 1978 70 32 -0.4
Albania 1992 98 18 -0.2
Panama 1989 135 100 0.03
Philippines 1986 96 68 0.5
Morocco 1985 129 98 5.0
Countries experiencing no default or restructuring during episode
Thailand 1998 97 66 -25.2
Korea 1985 52 20 -11.4
Malaysia 1986 83 44 -5.6
Papua N.G. 1992 93 56 -1.3
Lebanon 1990 51 17 -0.4
Botswana 1976 42 16 -0.03
Swaziland 1985 68 40 0.02
Average
real GDP Debt-to-
growth in GNP
episode Primary (secondary) ratio,
(percent reason for fall in end-2000
Country a year) debt-to-GNP ratio (b) (percent)
Countries experiencing default or restructuring during episode
Russia 5.9 Debt reduction (output growth) 67
Egypt 3.4 Debt reduction (output growth) 29
Iran 3.1 Net repayments 8
Jordan 6.9 Debt reduction (output growth) 99
Bulgaria -6.3 Debt reduction 86
Costa Rica 4.3 Debt reduction (output growth) 31
Bolivia 4.3 Debt reduction (output growth) 72
Chile 5.7 Output growth 54
Jamaica 2.3 Debt reduction (output growth) 61
Paraguay 4.9 Debt reduction (output growth) 41
Gabon -8.0 Net repayments 94
Albania 2.7 Debt reduction 20
Panama 6.8 Output growth 75
Philippines 5.2 Output growth 63
Morocco 5.6 Output growth 55
Countries experiencing no default or restructuring during episode
Thailand 0.1 Net repayments 66
Korea 9.7 Net repayments (output growth) 30
Malaysia 6.4 Net repayments (output growth) 51
Papua N.G. 8.7 Net repayments (output growth) 71
Lebanon 9.1 Net repayments (output growth) 59
Botswana 13.5 Output growth (net repayments) 8
Swaziland 9.3 Output growth 17
Sources: World Bank, Debt Tables and Global Development Finance,
various issues; International Monetary Fund, World Economic Outlook,
various issues; Standard & Poor's Credit Week, various issues; Beim and
and Calomiris (2001).
(a.) In middle-income economies with population of more than 1
million.
(b.) Economic factors that contributed at least 20 percent of the
decline in the debt-to-GNP ratio during each episode are listed.
Changes in the dollar value of nominal GNP (which were often sizable)
and chances in the valuation of the debt stock are not listed.
Table 13. The Missing Brady Bunch
Billions of dollars except where noted otherwise
Year t - 1
Debt-to-
Country and year of GNP ratio External Debt covered
Brady deal (%) debt by deal
Mexico, 1989 56.4 99.2 48.23
Costa Rica, 1989 105.9 4.5 1.46
Venezuela, 1990 77.5 32.4 19.70
Nigeria, 1991 130.7 33.4 5.81
Uruguay, 1991 49.3 4.4 1.61
Argentina, 1992 35.6 65.4 19.40
Brazil, 1992 30.4 121.0 40.60
Philippines, 1992 71.1 32.5 4.47
Bulgaria, 1993 116.0 11.8 6.19
Dominican Republic, 1993 54.7 4.6 0.78
Jordan, 1993 155.8 7.8 0.74
Ecuador, 1994 104.4 14.1 4.52
Poland, 1994 53.3 45.2 9.99
Panama, 1996 80.9 6.1 3.77
Peru, 1997 53.3 29.0 8.50
Cote d'Ivoire, 1998 158.1 15.6 6.90
Vietnam, 1998 78.9 21.8 0.92
Year t + 3
Size of Debt-to-
Country and year of debt GNP ratio External
Brady deal reduction (%) debt
Mexico, 1989 6.80 31.7 112.3
Costa Rica, 1989 0.99 47.1 3.9
Venezuela, 1990 1.92 64.4 37.5
Nigeria, 1991 3.39 155.3 33.1
Uruguay, 1991 0.63 31.6 5.1
Argentina, 1992 2.36 39.0 98.8
Brazil, 1992 4.97 23.2 160.5
Philippines, 1992 1.26 49.7 37.8
Bulgaria, 1993 2.66 105.7 10.0
Dominican Republic, 1993 0.45 34.4 4.3
Jordan, 1993 0.08 119.4 8.0
Ecuador, 1994 1.18 81.8 15.4
Poland, 1994 4.85 28.3 40.4
Panama, 1996 0.96 77.5 6.8
Peru, 1997 3.90 55.0 28.6
Cote d'Ivoire, 1998 4.40 n.a n.a
Vietnam, 1998 0.41 n.a n.a
End of 2000
Debt-to-
Country and year of GNP ratio External
Brady deal (%) debt
Mexico, 1989 26.8 150.3
Costa Rica, 1989 30.5 4.5
Venezuela, 1990 32.0 38.2
Nigeria, 1991 92.9 34.1
Uruguay, 1991 42.3 8.2
Argentina, 1992 52.6 146.2
Brazil, 1992 41.8 238.0
Philippines, 1992 63.1 50.1
Bulgaria, 1993 85.9 10.0
Dominican Republic, 1993 24.7 4.6
Jordan, 1993 99.0 8.2
Ecuador, 1994 107.3 13.3
Poland, 1994 40.5 63.6
Panama, 1996 75.3 7.1
Peru, 1997 55.0 28.6
Cote d'Ivoire, 1998 140.9 12.1
Vietnam, 1998 40.8 12.8
Sources: International Monetary Fund (1995) and IMF staff estimates.
Table 14. Domestic and External Government Debt in Selected Emerging
Market Economies, 19805 and 1990s
Percent of GDP
Early 1980s (a)
Country Domestic (c) External (d) Total
Countries with at least one external default or restructuring since 1824
Argentina 13.2 38.4 51.6
Brazil 15.9 31.4 47.3
Chile 10.8 45.9 56.7
Colombia 4.4 25.8 30.2
Mexico 2.3 37.7 40.0
Philippines 13.6 60.3 73.9
Turkey 12.9 28.8 41.7
Venezuela 11.6 38.5 50.1
Average 10.6 38.4 48.9
Countries with no history of external default
India 7.1 12.3 19.4
Korea 9.4 41.9 51.3
Malaysia 20.8 39.0 59.8
Thailand 6.1 25.2 31.3
Average 10.9 29.6 40.5
Late 1990s (b)
Country Domestic (c) External (d) Total
Countries with at least one external default or restructuring since 1824
Argentina 15.4 36.4 51.8
Brazil 35.8 18.5 54.3
Chile 27.3 8.8 36.1
Colombia 12.4 24.5 36.9
Mexico 9.5 26.8 36.3
Philippines 43.0 48.8 91.8
Turkey 24.4 36.5 60.9
Venezuela 7.4 32.6 40.0
Average 21.9 29.1 51.0
Countries with no history of external default
India 64.9 20.6 85.5
Korea 41.6 21.1 62.7
Malaysia 35.1 30.7 65.8
Thailand 34.6 41.5 76.1
Average 44.1 28.5 72.5
Sources: Internalional Monetary Fund, Government Finance Statistics,
various issues; World Economic Outlook, various issues; World Bank,
Debt Tables and Global Development Finance, various issues; IMF staff
estimates; national sources.
(a.) Average for 1980-85, except tot domestic debt in Argentina
(1981-86), Brazil (1981-85), Mexico (1982-85), and Turkey (1981-86).
(b.) Average for 1996-2000, except for domestic debt in Korea
(1997-2000).
(c.) Data for the 1980s are for general government debt in all
countries except Brazil, Chile, Colombia, and Mexico, for which
coverage of the public sector is broader. Data for the 1990s are for
nonfinancial public sector debt.
(d.) External debt of the nonfinancial public sector.
Table 15. Measures of Domestic Dollarization in Selected Emerging
Market Economics, 1996-2001
Share of domes-
Ratio of foreign tic government Composite domes-
currency depo- debt denominated tic dollariza-
sits to broad in foreign cur- tion index (a)
Country money (percent) rency (percent)
Countries with at least one default or restructuring since 1824
Argentina 52.5 81.8 15
Brazil 0.0 19.9 2
Chile 8.3 8.4 2
Colombia 0.0 6.7 1
Egypt 26.0 5.7 4
Mexico 5.5 0.0 2
Philippines 27.6 0.0 3
Turkey 45.9 21.9 8
Venezuela 0.1 0.0 1
Average 18.4 16.0 4.2
Countries with no default history
India 0.0 0.0 0
Korea 0.0 0.0 0
Malaysia 1.8 1.7 1
Singapore 0.0 0.0 0
Thailand 0.8 0.0 0
Average 0.5 0.3 0.2
Source: Reinhart, Rogoff, and Savastano (2003) and sources cited
therein.
(a.) Index ranges from 0 to 20, where 20 is the most dollarization.
Table 16. Changes in Government Revenue and Expenditure in Selected
Emerging Market Economies, 1980-2000 (a)
Percent of GDP
1980-85 1980-90 1990-95 1980-85
to to to to
Item 1986-90 1991-95 1996-2000 1996-2000
Countries with at least one default or restructuring since 1824 (b)
Total expenditure -1.0 -0.7 0.4 -1.3
Interest payments 3.4 -1.1 -0.5 1.8
Total revenue -2.9 1.7 0.0 -1.2
Tax revenue -2.0 1.0 0.5 -0.5
Trade taxes -0.3 -0.2 -0.4 -0.9
Government balance 2.4 -2.3 0.5 0.6
Seigniorage revenue -0.8 -0.3 -1.2 -2.3
Countries with no default history (c)
Total expenditure -1.2 -2.7 0.5 -3.4
Interest payments 0.8 -1.2 -0.6 -1.0
Total revenue 0.7 0.5 0.5 1.7
Tax revenue -1.2 0.8 -0.7 -1.1
Trade taxes -0.5 -0.6 -0.5 -1.6
Government balance -1.8 -3.2 0.0 -5.0
Seigniorage revenue 0.5 0.3 -0.8 0.0
Source: Appendix table D5.
(a.) Data are simple averages of the countries in each group.
(b.) Argentina, Brazil, Chile, Colombia, Egypt, Mexico, the
Philippines, Turkey, and Venezuela.
(c.) India, Korea, Malaysia, Singapore, and Thailand.
Table 17. Revenue from Financial Repression in Selected Emerging Market
Economies, Early 1980s and Late 1990s
Percent of GDP
Early 1980s (a)
Country Measure 1 (c) Measure 2 (d) Measure 3 (e)
Countries with at least one default or restructuring since 1824
Argentina n.a. 0.0 2.1
Brazil 0.5 n.a. n.a.
Chile n.a. 0.4 -1.6
Colombia 0.3 -0.3 -0.2
Mexico 5.8 2.0 1.5
Philippines 0.8 n.a. n.a.
Turkey 2.7 n.a. n.a.
Countries with no history of external default
Thailand 0.8 -0.6 -2.5
India 2.9 n.a. n.a.
Korea 0.6 n.a. n.a.
Malaysia 1.0 n.a. n.a.
Late 1980s (b)
Country Measure 2 (d) Measure 3 (e)
Countries with at least one default or restructuring since 1824
Argentina -0.6 -1.6
Brazil -4.5 -3.6
Chile -1.7 -1.7
Colombia -0.6 -0.7
Mexico -0.4 -0.2
Philippines -2.7 -0.8
Turkey 0.4 0.5
Countries with no history of external default
Thailand -1.4 -2.1
India -0.6 -0.5
Korea -1.9 -2.1
Malaysia -0.7 -2.3
Sources: Giovannini and de Melo (1993), Easterly (1989), and Easterly
and Schmidt-Hebbel (1994), and authors' calculations.
(a.) Average for 1980-85, except for Giovannini and de Melo (1993)
estimates for Brazil (1993-87), Malaysia (1979-81), and Mexico
(1984-87).
(b.) Average for 1996-2000, except for Korea, Thailand, and Malaysia,
where averages are for 1997-2000.
(c.) Estimates from measure proposed by Giovannini and de Melo (1993).
Revenue is calculated as the difference between the foreign and the
domestic effective interest rate times the ratio of domestic government
debt to GDP.
(d.) Estimates from measure proposed by Easterly (1989). Revenue is
calculated as the negative of the domestic real interest rate times the
ratio of government domestic debt (in domestic currency) to GDP.
(e.) Estimates from measure proposed by Easterly and Schmidt-Hebbel
(1994). Revenue is calculated as the difference between the average
real interest rate in OECD countries and the domestic real interest
rate, times the ratio of bank deposits in domestic cuffency to GDP.
The opinions expressed in this paper are those of the authors and
do not necessarily represent the views of the International Monetary
Fund. The authors would like to thank Morris Goldstein, Harold James,
Jens Nystedt, Vincent Reinhart, Christopher Sims, and John Williamson
for useful comments and suggestions. Ethan Ilzetzki, Kenichiro
Kashiwase, and Yutong Li provided excellent research assistance.
(1.) See Obstfeld and Rogoff (1996, chapter 6).
(2.) See Goldstein (2003) for a comprehensive discussion of these
factors.
(3.) Some analysts, such as Eichengreen, Hausmann, and Panizza
(2002), have put the blame for recurring debt cycles ml the
incompleteness of international capital markets and have proposed
mechanisms to make it easier for emerging market economies to borrow
more. Needless to say, our view is that the main problem for these
countries is how to borrow less. For another critical discussion of the
notion of original sin, argued on different grounds, see Reinhart and
Reinhart (2003).
(4.) See Sims (2001) for a model that implies that an economy with
low taxation and low indebtedness may optimally repudiate its debt, or
inflate at high rates, more frequently than an economy that has
inherited high levels of taxation and debt (as have some industrial
economies). Indeed, as we shall see, and consistent with some of the
predictions of that model, the countries with the highest historical
default probabilities, and the highest probability of inflation rates
above 40 percent a year, also had (on average) much lower levels of debt
than the typical industrial economy.
(5.) Some policymakers, of course, have come to recognize the
problem at least since the Mexican debt crisis of 1994. The academic
literature has lagged behind, in part because of lack of data, but also
because the theoretical connections between external and domestic debt
have not been well articulated. Nonetheless, among the participants in
this debate, Ronald McKinnon merits special mention for anticipating the
emergence of domestic government debt as a problem to be reckoned with.
McKinnon wrote in 1991 that "One of the most striking developments
of the late 1980s was the extent to which the governments of Mexico,
Argentina and Brazil went into debt domestically. Because of the
cumulative effect of very high interest rates (over 30 percent real was
not unusual) on their existing domestic liabilities,
government-debt-to-GNP ratios have been building up in an unsustainable
fashion even though most of these countries are not paying much on their
debts to international banks. In many [developing countries], people now
anticipate that governments will default on its own domestic bonds--as
in March 1990 with the Brazilian government's freeze of its own
outstanding liabilities" (McKinnon, 1991, p. 6).
(6.) The procyclicality of capital flows to developing countries
has been amply documented, particularly since Carlos Diaz-Alejandro
called attention to the phenomenon on the eve of the Latin American debt
crisis of the 1950s (Diaz-Alejandro, 1983, 198.4). For a recent and
systematic review of the evidence on the procyclicality of capital
flows, see Kaminsky. Reinhart, and Vegh (2003).
(7.) The need for institutional and legal changes to help rechannel
capital flows to developing countries from debt toward foreign direct
investment, other forms of equity, and aid, so as to prevent the
recurrence of debt crises, is the central theme of Bulow and Rogoff
(1990).
(8.) The list of serial defaulters in table 1 is far from complete.
Russia's 1998 default was hardly the first for that country (as
table 2 shows, although the period covered does not include the default
on the tsarist debt after the 1917 revolution). Many other countries
have also defaulted on their external debts, including, recently,
Indonesia and Ukraine in 1998, Pakistan in 1999, and Ecuador in 2000.
(9.) Episodes of saignee, or bloodletting, of financiers took place
a few years after each of several of France's defaults, including
those of 1558, 1624, and 1661, when particularly prominent creditors of
the government were executed; see Bosher (1970) and Bouchard (1891). The
authors are grateful to Harold James for these references.
(10.) Bulow and Rogoff (1989) argue that one alternative, namely,
formal output indexation clauses, although preferable to nonindexed
debt, might be difficult to verify or enforce.
(11.) Following the World Bank, for some purposes we divide
developing countries by income per capita into two broad groups:
middle-income countries (those developing countries with GNPs per capita
higher than $755 in 1999) and low-income countries (those below that
level). Most but not all emerging market economies--defined here as
developing countries with substantial access to private external
financing--are middle-income countries, and most but not all low-income
countries have no access to private capital markets and instead rely
primarily on official sources of external funding.
(12.) Tables 3 and 4 measure gross total external debt, as debtor
governments have little capacity to tax or otherwise confiscate private
citizens' assets held abroad. When Argentina defaulted in 2001 on
$140 billion of external debt, for example, the foreign assets held by
its citizens abroad were estimated by some commentators at about $120
billion to $150 billion. This phenomenon is not uncommon and indeed was
the norm in the 1980s debt crisis.
(13.) Using an altogether different approach, an International
Monetary Fund (2002) study of debt sustainability arrived at external
debt thresholds for developing countries (excluding the heavily indebted
poor countries) in the neighborhood of 31 to 39 percent, depending on
whether one includes official financing in the indebtedness measure. The
results we present later suggest that country-specific thresholds for
debt-intolerant countries should probably be much lower.
(14.) For details of the survey see the September 2002 issue of
Institutional Investor. Although not critical to our analysis below, we
interpret the ratings reported in each semiannual survey as capturing
the near-term risk of default within one to two years.
(15.) Secondary market prices of external commercial bank debt,
available since the mid-1980s, provide a measure of expected repayment
for a number of emerging market countries. However, the Brady debt
restructurings of the 1990s converted much of this bank debt to bonds,
so that from 1992 onward the secondary market prices would have to be
replaced by the Emerging Market Bond Index (EMBI) spread, which remains
the most commonly used measure of risk today. These market-based
indicators introduce a serious sample selection bias, however: almost
all the countries in the EMBI, and all the countries for which
secondary-market price data from the 1980s are available, had a history
of adverse credit events, leaving the control group of nondefaulters as
approximately the null set.
(16.) See appendix A for brief definitions of the various concepts
of debt used in this paper.
(17.) A similar picture emerges (for a smaller sample, not shown)
when one uses other measures of" risk, such as secondary market
prices of commercial bank debt or EMB] spreads.
(18.) See, for example, Reisen (1989).
(19.) One is reminded of Groucho Marx's aphorism, "I
don't care to belong to any club that will have me as a
member." As will be shown, membership in club B is not a privilege.
(20.) See, for example, Eichengreen, Hausmann, and Panizza (2002).
(21.) For a discussion of why 40 percent seems a reasonable
threshold for high inflation, see Easterly (2001) and Reinhart and
Rogoff (2002).
(22.) An obvious way of extending this analysis of credit history
would be to distinguish between peacetime and wartime defaults and
gather additional information about governments' violation of other
contracts, such as defaults on domestic debt or forcible conversions of
dollar deposits into local currency (as occurred in Bolivia in 1982,
Mexico in 1982, Peru in 1985, and Argentina in 20021.
(23.) The estimated coefficient for the club A countries captures
both institutional and structural factors specific to those countries as
well as the different concept of debt (total public debt as opposed to
total external debt) used for those cases (see appendix A).
(24.) Figure 4 employs the debt-to-GDP ratio as a metric for
dividing club B into regions, but the debt-exports ratio could be used
alternatively.
(25.) See International Monetary Fund (2002) for a recent
discussion of these approaches. As noted, the approaches sometimes focus
on total government debt rather than total external debt, but the issues
raised here are similar for both. See Williamson (2002) and Goldstein
(2003) for recent applications of the standard framework to the case of
Brazil.
(26.) Such models include those of Obstfeld (1994), Velasco (1996),
Morris and Shin (forthcoming), and Jahjah and Montiel (2003).
(27.) Our basic results appear reasonably robust to our choice of
"windows" of 25 percent decline and three years--see the
analysis of Brady plan countries below, however.
(28.) A similar table summarizing the debt reversals of the
low-income countries is available from the authors upon request.
(29.) For details on the Brady debt restructurings of the 1990s,
see Cline (1995) and International Monetary Fund (1995). For a survey of
the debate prior to the Brady Plan see Williamson (1988).
(30.) The recent IMF study on debt sustainability, for example,
proposes to undertake parallel assessments of external and public
(domestic and external) debt burdens (International Monetary Fund,
2002).
(31.) The composite index consists of the sum of the ratio of
foreign currency deposits to broad money and the ratio of foreign
currency-denominated domestic government debt to total domestic debt
(both ratios normalized to indexes ranging from 0 to 10: see Reinhart,
Rogoff, and Savastano (2003) for details.
(32.) For a broader discussion, see International Monetary Fund,
World Economic Outlook, April 2003, chapter 3.
(33.) Prasad and others (2003) find that, during the 1990s.
economies whose financial sectors were de facto relatively open
experienced, on average, a rise in consumption volatility relative to
output volatility, contrary to the premise that capital market
integration spreads country-specific output risk. The same authors also
argue that the cross-country empirical evidence on the effects of
capital market integration on growth shows only weak positive effects at
best, and arguably none.
(34.) See Kaminsky, Reinhart, and Vegh (2003) on this issue.
(35.) Of course, it was not always so. Before the 1980s. many
governments viewed allowing FDI as equivalent to mortgaging their
countries' future, and therefore they preferred borrowing in order
to retain full ownership of the country's assets. And, of course,
where FDI was more dominant (for example, in investment in oil and other
natural resources in the 1950s and 1960s), pressure for nationalization
increased. Thus FDI should not be regarded as a panacea for poor growth
performance.
(36.) Rogoff (1999) and Bulow and Rogoff (1990) argue that creditor
countries' legal systems should be amended so that they no longer
tilt capital flows toward debt.
Comments and Discussion
Christopher A. Sims: We learn from this paper that repeated
defaults on sovereign debt are by no means a new problem, that countries
with a history of repeated default tend to persist in this behavior over
long periods, and that such countries sometimes default with ratios of
debt to national output or to exports that are low by the standards of
advanced countries with long default-free histories. These are facts
well worth bringing out, and they support the paper's most
important policy implication: that the difficulties defaulting countries
have in gaining access to international credit are not exogenous
imperfections in the market, but instead probably reflect in large
measure the risks of lending to these countries. Indeed, the paper
suggests by its language, without actually supporting in detail, the
hypothesis that international capital markets are imperfect mainly in
lending too freely to countries with a history of default.
But the paper merely asserts that debt and serial default involve
important deadweight losses. It is plausible that, as the paper
suggests, default injures financial institutions and drives countries
toward inefficient fiscal systems. But these assertions are only
plausible, not obvious, and they are not supported in this paper by any
evidence. This leaves it an open question whether, in countries with a
default history, policymakers and international agencies should focus
directly on reducing, eliminating, or avoiding debt. Debt and default
might instead be regarded merely as symptoms of underlying problems, and
possibly even as responses that alleviate the effects of these
underlying problems.
If default occurred cleanly, without costs other than the direct
costs to investors who do not receive promised returns and to the
borrower who may face higher future borrowing costs, it would be hard to
argue that default is in itself a problem. Default in such a world is a
way to make debt a contingent claim, and contingent debt is a useful
financing tool. In an earlier paper (which the authors cite), (1) I
presented a highly stylized model of such cost-free default that
predicts many of the statistical associations uncovered in this paper:
that poorer countries will default more often; that default is
consistent with fairly prompt renewal of borrowing and indeed with real
debt quickly exceeding predefault levels; that highly variable inflation
rates are associated with high default probabilities; that real debt
burdens are seldom reduced rapidly except by sudden defaults or episodes
of inflation; and that rich countries will have both higher levels of
real debt relative to GDP and lower probabilities of default. These
predictions emerge as implications of optimal government behavior in a
model in which governments can make firm commitments about their future
fiscal behavior.
The logic behind these predictions is that governments whose only
sources of revenue are distorting taxes should use debt to smooth tax
rates, keeping taxes and real debt near constant except in times of
fiscal crisis. These ideas were first worked out in papers by Robert
Barro and by Robert Lucas and Nancy Stokey. (2) Barro showed that if a
government can issue only indexed debt, the expected path of future
taxes and debt should be approximately constant. Lucas and Stokey showed
that if debt can be made contingent on exogenous events, taxes and debt
should be approximately constant. My paper considers debt that is
contingent only through inflation and studies the optimal time path of
defaults under commitment.
The model that makes these predictions is not meant as a complete
description of the real world--there are in fact deadweight costs to
default of the kinds listed in this paper. But in order to make policy
recommendations, we need to assess how great the deadweight costs of
default are. This is difficult to sort out, because the wealth
redistributions and recognitions of losses that are enforced by default
understandably cause widespread anguish and complaint but are not in
themselves deadweight losses. I am prepared to believe, if presented
with evidence, that the deadweight losses are indeed large. But this
paper presents no evidence to this effect.
This paper makes the case that lending to
"debt-intolerant" countries tends to expand in boom times and
then contract, with accompanying defaults, when the boom tails off. Does
this mean that poorer countries should not borrow in boom times? Not
obviously. It appears that they may be borrowing and financing
substantial investment when capital is cheap in world markets, then
having to cut back when it becomes more expensive. These countries would
certainly be better off with a steadier flow of capital, but episodic
flows of foreign investment may be better than none, particularly if
default frees them from having to make excessive real transfers to
creditors when the flow of new credit slows.
The authors' table 12 presents evidence that there have been
few episodes of middle-income countries substantially reducing their
debt over a three-year span, except through some form of default. This
is presented as evidence for how heavy the burden of debt is. But, of
course, this is also exactly the result predicted by the simple theory
of optimal tax smoothing. The paper argues that there is a recognizable
class of debt-intolerant countries, that these countries have a
"threshold" ratio of debt to GNP or to exports above which
default becomes likely, and that this threshold is low by the standards
of rich-country borrowers. The evidence for the existence of such a
threshold is not very convincing. The authors' figure 1 shows the
distributions of debt-to-GNP and debt-to-exports ratios for developing
defaulters and developing nondefaulters. It is clear that very few
defaulters have debt-to-GNP ratios below 15 percent, whereas quite a few
nondefaulters have such low debt ratios. But the upper tails of the two
distributions are quite similarly fat. In other words, there is no clear
threshold ratio of debt to GNP above which there are many more
defaulters than nondefaulters. For the debt-to-exports ratio there is
such a threshold, but it is very high (around 400 percent) and thus
captures only a small fraction of all defaulters. Looking at these
distributions does not suggest the existence of any sharp threshold that
separates defaulters from nondefaulters. Figure 3 yields a somewhat
similar conclusion. If we tried to predict a country's IIR from its
debt ratios, we would do extremely poorly, unless we concentrated on
debt-to-GNP ratios above about 70 percent and debt-to-export ratios
above about 400 percent.
The authors correctly observe that it is not uncommon for
developing countries with a history of default to default at debt ratios
that other countries, even other developing countries, manage to carry
without defaulting. This is an observation worth making, but it does not
amount to identification of a low critical threshold for debt ratios.
Thus the paper is valuable in focusing attention on important
patterns in the data on external borrowing and default, but it does not
deliver convincing policy conclusions. Instead it opens up research
questions. Can we document that debt and default are not just correlated
with but importantly contribute to weak fiscal, financial, and political
institutions? Are there large deadweight costs from the reorganization
of financial arrangements and redistributions of wealth that accompany a
default episode? Do capital markets systematically fail to charge
developing countries interest rates that reflect actual default risks?
When we have answers to these questions, we can proceed to make
recommendations about whether reducing debt should be a direct focus of
reform.
John Williamson: In the early days of the debt crisis of the 1980s,
my colleague William Cline repeatedly argued that it was against the
interests of the debtor countries to secure debt relief, because this
would blemish their record as debtors and preclude their returning to
the international capital market. (1) Eventually they did achieve a
measure of debt relief, through the Brady Plan. This was soon followed
by a resurgence of capital flows, as this paper by Reinhart, Rogoff, and
Savastano recalls. Many of us concluded that Cline had been mistaken,
because capital markets have short memories (a plausible conclusion
because most of those in the trade seem to be under thirty). One of the
basic messages of this paper is that Cline's concerns had far more
substance than his critics conceded. History does matter: a history of
default (or of what the authors label "debt intolerance")
undermines a country's ability to borrow large sums on reasonable
terms. A market perception of debt intolerance may then breed a sudden
stop of capital inflows, which makes large debts intolerably expensive
to continue servicing, resulting in a vicious circle.
What is "debt intolerance"? The term suggests that it is
a reluctance to make sacrifices to maintain debt service when times are
difficult, and the discussion in the paper is consistent with this. But
that is not how the authors measure debt intolerance; instead they
measure it as the ratio of debt to GNP (or to exports) divided by the
country's sovereign debt rating from Institutional Investor. This
is a measure of how burdensome a country's debt is: of whether a
country needs to sacrifice in order to maintain debt service, not of
whether it is willing to do so. The two concepts should have been kept
separate, and then the hypothesis that a history of default undermines a
country's creditworthiness long into the future could have been
explicitly tested, but in most of the paper this is assumed rather than
investigated. The most notable exception is their table 8, which shows
that Argentina (a frequent defaulter) needs to keep its debt-to-GNP
ratio about 20 percentage points lower than Malaysia (which has a
perfect record of avoiding default and restructuring) in order to
achieve any given Institutional Investor rating. Other findings could be
cited that tend to support their core idea, but one may nevertheless
regret that it was not presented as a hypothesis to be investigated
rather than built into a terminology that suggests that the blame for
precipitating "credit events" is completely one-sided.
The paper argues that countries can be classified into distinct
"clubs," as measured by their Institutional Investor ratings.
Club A consists primarily of advanced countries that have never
defaulted (at least not in recent history); these countries enjoy
continuous access to the international capital market. Club C consists
of countries that enjoy only sporadic access to the international
capital market. Club B is an intermediate group of countries where
default risk is nontrivial and self-fulfilling runs are a possible
trigger to a crisis. This club is further subdivided into countries with
above- and below-average ratings and with high and low indebtedness.
Ratings are explained by the country's history of high inflation
and of past default and by the level of debt (deflated by GNP or
exports). The key finding is that the coefficient on the level of debt
is positive for club A countries and negative for those in club B. Club
B countries with a default history have low creditworthiness and
therefore have to pay high interest rates for what they borrow, which is
not much relative to what club A countries borrow, but more than
developing countries without a history of default typically choose to
borrow.
Unfortunately, borrowing by the industrial countries is measured by
a different concept of debt than is used for the nonindustrial
countries: the measure for nonindustrial countries is external debt,
public and private, whereas that for industrial countries is external
and domestic public sector debt. The authors make a worthy effort in
table 14 to provide data on internal public sector debt in emerging
markets, and they emphasize the growing importance of this phenomenon
and the increasing need to introduce it into analysis, but their own
basic analysis sidesteps the problem, as they concede.
Because interest rates are much higher in emerging markets with a
history of default than in industrial countries, and because those
interest spreads widen when their debt situation deteriorates (or,
worse, lending comes to a sudden stop), it is difficult for such
countries to avoid defaulting again when hit by a severe negative shock.
Countries in these circumstances are caught in a vicious circle. The
exit strategy the authors offer is to borrow less in the first place, so
that they will become invulnerable to adverse shocks. This policy
recommendation happens to be similar to one offered in a new book that I
co-edited with Pedro-Pablo Kuczynski. (2) Indeed, the present authors
suggest that the maximum prudent debt-to-GNP ratio for emerging market
economies may be around 35 percent, quite close to the 30 percent
recommended by Daniel Artana, Ricardo Lopez Murphy, and Fernando Navajas
in our book. Nevertheless, my endorsement of the authors'
recommendation is not meant to condone their attack on Barry
Eichengreen, Ricardo Hausmann, and Ugo Panizza. I agree that the use of
the term "original sin" by Eichengreen and his coauthors to
explain developing countries' borrowing difficulties is silly,
since there is no evidence that these countries would be unable to
borrow in domestic currency if they tried. But their suggestion that the
multilateral development banks should restructure the composition of
their balance sheets so as to better match the shocks faced by their
borrowers, and their demonstration that this could be done without
taking on additional risk themselves and while offering attractive
assets to the public, are brilliant. True, borrowers might abuse the
leeway such an innovation would offer them by increasing their borrowing
(as the present authors seem to assume they would), but they might also
use it appropriately to reduce their risk. The same may be said of the
authors' expressed preference for equity over debt finance.
The distinction between countries subject to sudden stops of
capital flows and those that can borrow even in the face of severe
negative shocks is fundamental. It is an issue that I first grappled
with when I visited Chile in 1991 to discuss the problems for economic
policy posed by an inflow of capital that the authorities judged to be
excessive. The Chileans I talked to were adamant that a steep fall in
the price of copper would provoke a sudden stop of private capital
inflows, rather than allow an increase in borrowing to finance a
countercyclical policy--a prediction that proved all too correct in
1998. Given the situation as they perceived it, we agreed that it made
sense to restrain capital inflows: hence the encaje. (3) Complete
capital account liberalization was for that perhaps-distant day when the
capital markets would treat Chile as a developed country. Ricardo
Ffrench-Davis summarized my advice as "first join the OECD, then
liberalize the capital account" (although subsequent history--first
in Mexico, then in Korea--showed all too clearly that simply joining the
OECD is not enough). It is important to note that sudden stops are not
confined to countries with a history of default: three of the five
countries classified as "Emerging market countries with no external
default history" in the authors' table 1 suffered from sudden
stops in 1997, namely, Korea, Malaysia, and Thailand.
The most profound question raised by this paper is how countries
can graduate from one club to a higher one, with graduation to club A
(where sudden stops no longer happen) being the really important event.
We do know that Chile and Mexico have attained investment-grade ratings
on their debt in recent years, and it is interesting to see in table 9
that Brazil had a rating from Institutional Investor very close to that
needed for admission to club A in 1979, before the debt crisis. And of
course a lot of today's advanced countries defaulted as late as the
nineteenth century. These facts give some reason to hope that default in
1824 does not imply permanent exclusion from club A. But what is needed
to win acceptance there? Is it the attainment of industrial country
living standards (in which case Singapore ought already to be in the
club)? Is it a long track record of servicing debt, such as can be
achieved by restraining borrowing and so reducing debt vulnerability
(which seems to be the approach favored by Reinhart and colleagues)? (4)
Is it a network of institutions that will support continued debt
service--such as an efficient tax system to raise the needed revenue,
and pension funds dependent on continued receipt of interest income in
order to maintain a decent standard of living for the retired? Can
perhaps the long process of investment in demonstrating "debt
tolerance" be accelerated by not defaulting when the pressure is
on? If so, one has to be thankful that IMF policy toward Brazil in 2002
was not guided by the argument of this paper!
General discussion: Mark Gertler drew a parallel between the
differences in leverage ratios observed across countries and the
differences in leverage ratios observed across U.S. firms. In a given
industry, larger and more mature firms typically have higher leverage
ratios than younger and smaller firms, which also exhibit higher default
rates. Theories based on asymmetric information and imperfect contract
enforceability provide a rationale for these outcomes. Furthermore,
default rates and leverage are positively correlated across small firms,
although this relation is endogenous. When hit by a negative shock,
small firms do not default right away but rather build up debt while
trying to smooth production in the presence of low cash flows. They
default only when their capacity to borrow more is exhausted.
William Brainard agreed that such endogeneity would be important in
country data, because sovereign debt crises have large effects on
countries' incomes. Because of this, the importance of the
variability of income for the leverage ratio cannot be inferred using
data for the whole sample, but rather from only those observations that
are not subject to this endogeneity. Brainard also stressed that the
paper does not go far enough in accounting for fundamentals that might
help explain when countries are likely to default. For firms, one
traditionally computes various kinds of coverage ratios in order to
assess the relationship between debt-to-equity ratios and default rates,
taking into account the variance of earnings and other fundamentals. By
comparison, measures such as the export coverage ratio are very crude
indicators of a country's position. Some countries' exports
may be largely manufactured goods tied to imports of intermediate
materials, whereas for others they may consist mainly of raw materials.
Export coverage ratios should be interpreted quite differently in these
two cases.
Shang-Jin Wei considered a main message of the paper to be that the
first default is very costly, because it increases the cost of future
debt, apparently forever. He noted that this view conflicts with the
idea that capital markets have very short memories, a point that Barry
Eichengreen and William Cline, among others, have stressed. Wei
suggested that investors want to forgive past behavior and even look for
excuses to do so after some years have passed since the last crisis. He
noted that a change in government often provides such an excuse and
suggested that the country time series in the paper could be used to
investigate this idea. Carol Graham questioned whether reforms in
developing countries are necessarily associated with large revenue
losses. Although the authors note that revenue losses from trade and
tariff reforms have increased debt in many such countries, other
reforms, such as the privatization of unprofitable state enterprises,
would be expected to increase revenue. She suggested that analyzing
revenue by individual country or by group of countries might illuminate
the effect of different reforms and the net effect of reform generally.
(1.) Sims (2001).
(2.) Barro (1979); Lucas and Stokey (1983).
(1.) See, for example, Cline (1984, p. 88).
(2.) Kuczynski and Williamson (2003).
(3.) The encaje was a capital control in the form of an
unremunerated reserve requirement for one year on all foreign loans.
(4.) Incidentally, I do not regard their table 12 as compelling
evidence that countries are incapable of outgrowing debt: the bar
(growth sufficient to reduce the debt-to-GNP ratio by 25 percentage
points in three years) has simply been set too high. One would expect
output growth to have played a far more important role in slower
reductions in debt vulnerability than those shown in the table (and even
there it plays a role in seventeen of the twenty-three instances cited).
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CARMEN M. REINHART
International Monetary Fund
KENNETH S. ROGOFF
International Monetary Fund
MIGUEL A. SAVASTANO
International Monetary Fund