Speed of adjustment to selected labour market and tax reforms.
Mourougane, Annabelle ; Vogel, Lukas
INTRODUCTION
The long-term impact of structural reforms on economic performance
has been studied in depth, for example, in the context of the revisited
OECD Jobs Strategy. The impact of institutions on economic resilience to
temporary shocks is also well documented (Duval et al., 2007; Ernst et
al., 2006; Inklaar and Timmer, 2006). By contrast, only few studies have
focused on transitional dynamics in the aftermath of structural reforms
and the adjustment from one steady state to another (Roeger et al.,
2008).
Still, analysing the adjustment path is interesting from a
political economy perspective. It gives an idea of the impact lag of
reforms on economic performance, putting the long-term benefits into
perspective. It is also useful for macroeconomic stabilisation policies
and helps gauging complementarities between structural adjustment and
monetary or fiscal accommodation.
A number of studies use single-equation cross-country panel or
industry-level difference-in-differences estimation (Belot and van Ours,
2001; Bassanini and Dural, 2006; OECD, 2007). They consider transmission
channels from structural policies to macroeconomic performance in
isolation and link a performance indicator (eg the unemployment rate or
productivity) to institutional variables. The results are useful to
assess the long-term impact of structural reforms. But they
predominantly rely on static equations and they provide little
information about the adjustment dynamics. Indeed, institutional
variables in panel estimation usually display limited time variation, so
that only a small set of variables can be tested at a time. Moreover,
these approaches do not properly account for the fact that the impact of
a particular institutional feature may differ across countries due to
cross-country differences in the remaining institutional structure
(Duval and Vogel, 2008; Freeman, 1998). Product terms may capture such
interaction between institutions, but their ability to analyse a
sequence of reforms is limited (Dreger et al., 2007).
Papers examining the short-term effect of structural reforms on
economic performance have generally relied on dynamic neo-Keynesian or
micro-founded dynamic general equilibrium (DGE) models (eg Bean, 1998;
Coenen et al., 2007; Everaert and Schule, 2006). Neo-Keynesian models
incorporate the traditional properties of large macroeconometric models.
As the lag structure of these models is determined by the empirical fit,
that is, by country specificities, they are generally well-suited to
analyse the short-term impact of policy shocks. However, many
institutional variables cannot be directly integrated in the model,
because they lack sufficient variation over time (tax and expenditure
data are notable exceptions). Consequently, simulations are often
limited to illustrative Non Accelerating Inflation Rate of Unemployment
(NAIRU) or mark-up shocks and aim at describing the adjustment
mechanisms at play (Bean, 1998; Dural and Elmeskov, 2005; Hunt and
Laxton, 2004). (1)
DGE models are explicitly derived from (assumptions about) firm and
household behaviour and allow examining a wide range of structural
reforms, while also accounting for potential spillovers between the
included variables. (2) Based on structural equations with deep
parameters, such models are less subject to the Lucas critique. Given
the micro-foundations, it is also possible to assess the welfare
consequences of alternative policies. However, the lag structure of DGE
model equations derives from optimising behaviour and is thus generally
limited and similar across countries and regions. Consequently, the DGE
models tend to overemphasise similarities and to attribute differences
to shocks rather than to economic structure. Furthermore, the
characteristics of the model dynamics and the steady state may be quite
sensitive to the choice of particular functional forms and parameters.
Against this background, the paper examines the length of economic
adjustment to selected structural reforms, drawing on two macroeconomic
models: a micro-founded DGE model and an estimated neo-Keynesian macro
model. The paper does not seek to establish a ranking of different
approaches, but rather takes an eclectic stance. Each framework presents
advantages and limitations to examine the short-term impact of
structural reforms. Putting them together brings complementary
information, emphasises the different aspects of the topic and ideally
can provide some indication about the robustness of the findings.
Simulations with these models illustrate how labour and product market
rigidities affect the pace of adjustment to structural reforms. Within
the estimated neo-Keynesian framework the paper also examines how the
conduct of monetary policy affects the speed of adjustment to structural
reforms. A final section concludes.
MOST OECD COUNTRIES HAVE EXPERIENCED A DECLINE IN THE STRUCTURAL
UNEMPLOYMENT RATE
Institutional data and how they relate to economic performance in
OECD countries over the last two decades provide some insights into the
ex-post effects of structural reforms. A time-series indicator of the
structural unemployment rate can be constructed using the empirical
approach undertaken in Bassanini and Duval (2006), which expresses the
actual unemployment rate as a function of the output gap and a number of
institutional variables, including the tax wedge between labour costs
and take-home pay, employment protection legislation (EPL) and product
market regulation in non-manufacturing sectors. The resulting structural
unemployment rates, which are the unemployment rates net of the cyclical
component associated with the output gap, tend to be more volatile than
the OECD Economic Outlook NAIRU estimates, which are derived from a
Kalman-filter estimation and core price Phillips curves. However, both
measures broadly display common patterns. Notwithstanding significant
differences for some countries at some points in time (especially for
Germany) the associated unemployment gaps generally evolve in line. (3)
[FIGURE 1 OMITTED]
The estimated structural unemployment rate has declined markedly
since 1995 in the OECD area, the G7 average and the European Union
(Figure 1), in line with a general trend towards product market
liberalisation, a gradual decline in the tax wedge and--since the
beginning of the decade--a reduction in the average replacement ratio.
Arpaia et al. (2007) suggest that these trends have continued in recent
years. Contrary to the clear trend towards product market
liberalisation, labour market reform across OECD countries display a
more heterogeneous pattern. Moreover, some elements of labour market
reform may not be sustained but reversed over time (OECD, 2008). This
complicates the identification of the short-term impact of structural
reforms, as it becomes difficult, for example, to distinguish the weak
effect of a particular reform on economic performance from the
offsetting impact of subsequent backtracking.
Three institutions appear to have played a major role in the
evolution of structural unemployment in OECD countries over the period
1983-2003:
* Among all the institutional variables, the tax wedge has
contributed the most to explain the level of structural unemployment in
many OECD countries. (4) The evolution of the tax wedge over time and
across OECD economies lacks a uniform pattern. The wedge has steadily
declined in the United States, Italy and the United Kingdom, but risen
in Japan, France and Canada. It has experienced ups and downs in
Germany.
* In selected countries the average replacement rate also explains
a significant portion of structural unemployment. Again, this variable
displays no clear international trend.
* In addition to labour market institutions, product market
regulation is estimated to have had a sizable impact on the structural
rate of unemployment. A consistent and marked decline in the indicator,
signalling the move towards more competitive markets, appears in most
OECD economies, especially in Anglo-Saxon countries, where product
market reforms have started earlier than in continental Europe.
* By contrast, changes in EPL have played only a minor role, except
for a few European countries such as Germany, Italy and the United
Kingdom. Indeed, there has been little change to employment protection
measure in most countries and the impact of employment protection on the
structural unemployment is estimated to be very small.
Correlations between the cumulative increase in the NAIRU between
time t-i and t and the change in the institution at time t-i have been
computed to provide further insights about the dynamic impact of
structural reforms (Figure 2). (5) The correlations have been computed
using a small number of observations and may be distorted by the
presence of other omitted determinants of structural unemployment.
Moreover no causality can be inferred from this calculation. Nonetheless
a number of observations can be made:
* Changes in institutions, in particular the tax wedge, the
replacement ratio and product market regulation, are associated with
gradual changes in the NAIRU. The correlation peaks after 5-10 years,
depending on the specific measure.
* In the short-term the strongest correlations are obtained for the
tax wedge and for product market regulation. Correlations rise over the
first 4 years and then gradually diminish, ending up close to zero after
7 years. By contrast, correlations between the NAIRU and
anti-competitive product market regulation, albeit small, continue being
significant over 10 years.
* The correlation between changes in the average replacement ratio
and changes in the NAIRU is negligible in the short term, but gradually
increases over time, implying long lags in the process of adjustment.
The correlation becomes significant only after about a decade. (6)
* The correlation between changes in EPL and changes in the NAIRU
remains insignificant over a 10-year period. This result holds for EPL
on both temporary and regular contracts alike.
[FIGURE 2 OMITTED]
Overall, these patterns suggest the impact of reforms on structural
unemployment to be gradual and to spread over a number of years.
Structural reforms may require a costly reallocation of resources, so
that efficiency gains will take time to fully materialise. The
subsequent sections will focus on a number of market rigidities and
macro policies and on the degree to which they account for the delay and
for country differences in the pass-through of selected labour market
and tax reforms.
ADJUSTMENT COSTS IN LABOUR AND PRODUCT MARKETS AND THE SPEED OF
ADJUSTMENT
Previous studies have suggested that interactions between different
areas of structural reforms are crucial for the long-run aggregate
impact. Long-term gains from one reform may increase following the
implementation of complementary measures (Bassanini and Duval, 2006).
Increasing competition in product markets may also moderate political
opposition and resistance to labour market reforms as the former tends
to reduce the rents to be redistributed between unions and firms
(Blanchard and Giavazzi, 2003). This section focuses on the short run
and investigates to what extend policy complementarities may affect the
short-term economic impact of structural reforms. In particular it
examines the impact of product and labour market flexibility on the
pass-through of tax, benefit and product market reforms. (7) The
analysis relies on a stylised closed-economy DGE model, calibrated with
parameter estimates for the euro area. The framework includes
monopolistic competition in product and labour markets, which provides
firms and unions with price and wage setting power. Firms use
differentiated labour services to produce differentiated goods. Labour
is the only production factor and yields constant returns to scale. The
household sector consists of Ricardian and of liquidity-constrained
consumers.
The basic model includes three mechanisms that delay the adjustment
to external shocks: employment adjustment costs, price adjustment costs
and habit persistence in private consumption. The introduction of
adjustment costs is standard in the DGE literature to proxy for nominal
and real rigidities (eg Coenen et al., 2007; Grenouilleau et al., 2007;
Campolmi and Faia, 2006; Moyen and Sahuc, 2005). Employment adjustment
costs [PHI] seek to capture existing hiring and firing costs for firm j,
while price adjustment costs [THETA] account for menu or re-optimisation
costs of firm j and generate a forward-looking inflation dynamics.
Different specifications for adjustment costs (eg linear versus
quadratic, symmetric versus asymmetric) coexist. (8) In line with many
other studies, this paper adopts the following quadratic and symmetric
costs specification:
[[PHI].sup.j.sub.t] = [phi]/2 [([N.sup.j.sub.t]/[N.sup.j.sub.t-1] -
1).sup.2]
[[THETA].sup.j.sub.t] = [theta]/2
[([N.sup.j.sub.t]/[N.sup.j.sub.t-1] - 1).sup.2]
Quadratic adjustment costs provide an incentive to smooth quantity
and price adjustment over time, which delays the transition of
employment, production and consumption towards a new steady state in the
aftermath of structural reforms, without having an impact on the
long-term or steady-state effects of the reform itself. (9) Other
functional forms, such as linear or even marginally decreasing
adjustment costs, could generate different transition dynamics and
generally imply faster and more abrupt adjustments (Cahuc and
Zylberberg, 2004). From this perspective, the quadratic adjustment costs
specification in this paper may constitute some upper bound for the
duration of adjustment and the impact of adjustment costs on the
pass-through of structural reforms. The simulations focus on reforms
increasing the level of employment rather than on adjustment behaviour
over the business cycle, which makes the choice between symmetric or
asymmetric specifications less decisive. One major difference between
our specification of employment adjustment costs and parts of the
literature is that adjustment costs in our model are a function of firm
specific output, rather than being a fixed costs or a function of
aggregate production. Consequently, adjustment costs are an endogenous
variable in the optimisation problem. The costs parameters are set to
[[phi].sup.EA] = 63, [[phi].sup.US] = 30, [[theta].sup.EA] = 21 and
[[theta].sup.US] = 3.4, using estimates of Grenouilleau et al. (2007).
They imply adjustment costs of 0.32% and 0.15 % of GDP per percentage
point change in euro area and US employment, respectively. Raising or
lowering prices by one percentage point implies costs of 0.11% and 0.02
% of euro area and US output, respectively. This calibration of price
adjustment costs is compatible with the degree of euro area and US price
rigidity documented in Altissimo et al. (2006) and Bils and Klenow
(2004). Habit persistence in consumption has been set to the value of
0.85 from Grenouilleau et al. (2007). Habit persistence delays the
adjustment of consumption and aggregate demand to structural shifts.
However, as it is a behavioural feature rather than a rigidity the
analysis of transitional dynamics will focus on the impact of employment
and price adjustment costs.
Mourougane and Vogel (2008) provide a detailed presentation of the
model and its microeconomic foundations. The key equations are
summarised here:
Consumption:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
Wages:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
Production:
[Y.sub.t] = [N.sub.t]
Demand:
[Y.sub.t] = [C.sub.t] + [phi]/2 [([N.sub.t]/[N.sub.t-1] - 1).sup.2]
[N.sub.t-1] + [theta]/2 [([P.sub.t]/[P.sub.t-1] - 1).sup.2] [Y.sub.t]
Prices:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
Government budget:
(1 - [[tau].sup.w.sub.t])(1 - [N.sub.t])[W.sub.t][R.sub.t] + (1 +
[i.sub.t])[B.sub.t] = ([[tau].sup.w.sub.t] + [[tau].sup.e.sub.t])
[W.sub.t][N.sub.t] + [[tau].sup.c.sub.t][P.sub.t][C.sub.t] + [T.sub.t] +
[B.sub.t|1]
Monetary policy rule:
[i.sub.t] = -1n[beta] + [[phi].sub.[pi]][[pi].sub.t]
with:
C Aggregate consumption
[C.sup.o] Consumption of Ricardian households
[[lambda].sup.o] Marginal utility of consumption of Ricardian
households
[C.sup.k] Liquidity-constraint consumption
[[lambda].sup.k] Marginal utility of consumption of
liquidity-constraint households
N Employment
W Nominal wage
P Price level
[[tau].sup.c] Tax on consumption
[[tau].sup.w] Tax on labour income
[[tau].sup.e] Employer social security contribution
R Gross benefit replacement rate
T Lump-sum taxes
Y Output
B Outstanding government bonds
i Nominal interest rate
[pi] Inflation
[FIGURE 3 OMITTED]
The impact of employment adjustment costs on real adjustment turns
out to be moderate. Reducing euro area adjustment costs to the lower US
level accelerates the adjustment towards the new equilibrium production
and consumption levels (Figure 3). (10) The overall gain from lower
employment adjustment costs in terms of faster output and consumption
adjustment is relatively modest, however, amounting to only two or three
quarters. Differences are more pronounced for inflation, as reductions
in income tax rates, benefit replacement rates and employer social
security contributions all directly or indirectly reduce production
costs. Such measures initially have some deflationary impact, which
leads to an accommodating monetary expansion. The simulations suggest
that lowering employment adjustment costs in the euro area to their US
levels would lead to more pronounced price cuts and a more moderate
decline of gross real wages in the transition process. Changing the
specification of employment adjustment cost and introducing linear
rather than quadratic adjustment costs does not modify this finding in a
significant way.
Lowering euro area price adjustment costs to the del lower US
level, while leaving employment adjustment costs constant, does not
visibly affect the adjustment speed of real variables either. The
differences between higher and lower price adjustment costs in the
transition dynamics of output, consumption and real wages are
negligible. The levels of price adjustment costs almost exclusively
affect the adjustment of nominal variables. Lower costs lead to a
steeper initial decline in prices and, consequently, to a slightly
stronger monetary expansion. Price adjustment costs tend to be more
important in the context of temporary shocks, dampening the initial
amplitude of the impulse responses and delaying the return to the steady
state (Duval and Vogel, 2008).
The previous results also hold in an extended model with nominal
wage rigidity, where--in analogy to the Calvo price-setting
model--sluggish adjustment takes the form of staggered wage setting (eg
Canzoneri et al., 2007; Erceg et al., 2000). Nominal wages W follow:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
[W.sup.*.sub.t] is the optimal wage chosen by a household that
resets wages in period t and 1 - [xi] is the probability for such
re-setting to occur in a given period. The optimal wage itself follows
from a dynamic optimisation problem taking into account that a wage set
in period t may remain fixed for a number of subsequent periods (see
Mourougane and Vogel, 2008). The impact of lower employment and price
adjustment costs on real production and consumption is very small in
this scenario (Figure 4). With nominal wage rigidity the transitory
decline in real wages is more contained than under fully flexible wages.
In contrast to Figure 3, the delay in nominal wage adjustment initially
leads to positive inflation and to some monetary tightening.
Both the baseline model and the extension with nominal wage
rigidity assume a neoclassical labour market without frictional
unemployment. The search-and-matching model provides an alternative
specification. It incorporates frictional unemployment and implies a
steady turnover of jobs even under constant total employment. Each
period a certain share of workers loses or quits a job for new positions
or unemployment. Consequently, gross flows are larger than the net flows
in and out of employment (see Mourougane and Vogel, 2008, for more
details on the modelling). (11) Employment adjustment costs are larger
than in the previous specifications if they apply to gross instead of
net flows into employment:
[[PHI].sup.g,j.sub.t] = [phi]/2 [([N.sup.j.sub.t]/[N.sup.j.sub.t-1]
+ [rho] - 1).sup.2]
where [rho] is the job separation rate, set to the value 0.08 taken
from Christoffel and Linzert (2005).
[FIGURE 4 OMITTED]
[FIGURE 5 OMITTED]
Within the search-and-matching framework, the role of employment
and price adjustment costs in delaying the economic adjustment to
structural reforms is also limited. As before, reduced employment
adjustment costs have fairly small effects on the adjustment speed of
production and consumption, and the contribution of lower price
adjustment costs tends to be negligible (Figure 5). However, the
differences are more pronounced for price, real wage and interest rate
dynamics. Higher employment adjustment costs amplify the downward
pressure on real wages. Given the strength of these effects, monetary
policy will be more accommodative than in the baseline DGE model with
neoclassical labour market.
INTERACTION WITH MONETARY POLICY
The implementation of labour market reforms affects potential
output and inflation dynamics and is likely to trigger a macroeconomic
policy reaction. The conduct of monetary policy may in turn affect the
speed of adjustment to structural reforms, though to a different degree
across OECD countries, depending on the strength of the transmission
channels and on the sensitivity of policy rates to output and inflation.
The expansion and smoothing of aggregate demand may reduce the
transitory costs of reforms and the unemployment stemming from the
necessary restructuring of particular industries. From a political
economy perspective, the ability and willingness of monetary policy to
accommodate structural reforms may weaken political opposition and
facilitate their implementation.
Simulations undertaken with estimated neo-Keynesian macro models
for the United States and the euro area (see Mourougane and Vogel, 2008,
for details) illustrate the interaction between structural reforms and
monetary policy. The models include equations for all demand components
and associated price indicators, employment, labour supply and wages.
The behavioural equations are backward-looking. Expectations are treated
implicitly by the inclusion of lags of the dependent variables, and most
behavioural equations are estimated in an error-correction form. Real
short-term rates are determined endogenously following a Taylor rule,
with equal weights on inflation and the output gap.
The short-term behaviour of the model is influenced by standard
Keynesian features such as wage and price stickiness, liquidity
constraints, capital adjustment costs and labour hoarding. Unemployment
and the output gap are important determinants of wage and price
adjustment. In the short run output is determined by demand. In the
medium to long run, the supply side of the economy, which is modelled
through a neo-classical production function, plays a prominent role.
Prices and wages adjust as well as relative factor prices and incomes.
Output and unemployment move back to their long-term equilibrium levels.
A decline in the NAIRU increases potential output, leading to a negative
output gap (Figure 6). Gaps exert downward pressure on prices and wages.
Labour demand rises following the decline in real wages, and--as labour
supply increases slowly--the unemployment rate declines. Gaps and their
disinflationary impact trigger a monetary easing.
[FIGURE 6 OMITTED]
Simulations with these neo-Keynesian models confirm that different
levels of price and employment adjustment costs, which here are captured
by different degrees of employment and price inertia in the respective
equations, have only a moderate impact on the adjustment speed. Without
an endogenous monetary policy reaction, both the euro area and the
United States models adjust at a similar pace to a NAIRU shock,
notwithstanding the higher price and nominal wage inertia in the euro
area.
Expected gains from monetary accommodation are estimated to be
negligible for individual euro area economies. As the European Central
Bank (ECB) focuses on aggregate euro area output and inflation, any
monetary reaction to a reform introduced in an individual European
country is improbable unless there was a coordinated effort to implement
structural reforms in a sufficient number of euro area economies. This
holds for small but also large euro area countries. For instance, a
domestic reform lowering the NAIRU by one percentage point in France,
which accounts for about 20 % of euro area GDP, would elicit almost no
monetary policy response.
The contrast between the two sides of the Atlantic in adjustment
speed under monetary accommodation reflects differences in the monetary
transmission channels as modelled in the neo-Keynesian models. In line
with previous research (eg Angeloni et al., 2003a, b), demand
components, especially business investment, appear more sensitive to
real interest rates in the United States than in the euro area.
Consequently, with supportive monetary easing the United States adjust
faster than the euro area to its new equilibrium production level. (12)
Modifying the monetary policy reaction function can alter the pace
of adjustment for the euro area. This is illustrated by simulating a
NAIRU decline in the euro area under different policy reactions: a
Taylor rule with equal weights on current inflation and the output gap,
a Taylor rule with stronger weight on inflation, and pure inflation
targeting without reaction to output gaps. Increasing the weight of
inflation in the policy rule appears to slow the adjustment in the very
short term, but to accelerate it thereafter. As a result, the economy
reaches its long-term equilibrium substantially faster, but with some
overshooting (Figure 7). In the case of pure inflation targeting, the
adjustment speed would nevertheless remain slower in the euro area than
in the United States.
Interest rate persistence, which implies that central banks are
reluctant to move the policy rate too rapidly to stabilise the economy,
can decelerate the adjustment to structural reforms. However, both the
DGE and the neoKeynesian model simulations suggest that interest rate
persistence has to be very high--close to unity--to have a visible
effect on the transition speed of the real model variables.
CONCLUSIONS
Economic adjustment to structural reforms is a gradual process.
Drawing on two different modelling approaches--micro-founded DGE models
and estimated macro-economic neo-Keynesian models--this paper has
investigated the extent to which labour and product market rigidities as
well as monetary policy affect the adjustment to structural reforms.
Employment adjustment costs are found to have only a limited effect
on the pace of adjustment to labour market and tax reforms, while the
impact of price adjustment costs on output dynamics appears to be
marginal. This result is robust to the choice of the policy variables
(income tax, benefit replacement rate or employer social security
contributions) and holds in both the DGE and the neo-Keynesian model.
[FIGURE 7 OMITTED]
Macroeconomic policy can have a sizable impact on the magnitude of
short-term transition costs. In particular, monetary accommodation can
accelerate and smooth the adjustment to a new equilibrium though to a
varying degree in different OECD countries and regions. Reforms in
individual euro area countries are unlikely to trigger a sizable policy
reaction, unless there is an area-wide effort to implement structural
reforms. The adjustment is found to be faster in the United States than
in the euro area, reflecting mostly a higher sensitivity of domestic
demand to real interest rates. The latter result appears to be robust to
the choice of the monetary policy rule.
The two approaches can provide complementary insights.
Micro-founded DGE models illustrate the transmission of structural
reforms. The variation of employment and price adjustment costs seem
insufficient to generate sizable heterogeneity in adjustment speed
across countries. The neo-Keynesian models have the advantage of using
estimated macroeconomic equations for the euro area and the United
States to yield a more accurate representation of the time series
dynamics. However, the effect of product and labour market institutions
on economic dynamics is sometimes captured only very indirectly, using
off-model information, and subject to the Lucas critique. Methodological
eclecticism is also a way to check the robustness of findings. In this
regard, it is reassuring that main findings of the paper, i.e. the
limited role of employment and price adjustment costs for the adjustment
of real variables, holds independently of the modelling approach.
Acknowledgements
The authors especially thank Jorgen Elmeskov, who had the initial
idea for this paper. They are grateful to Jonathan Coppel, Davide
Furceri, Claude Giorno, Peter Hoeller, Vincent Koen and Jean-Luc
Schneider for helpful discussions and suggestions. We also thank the
participants of the 14th Dubrovnik Conference, in particular Maroje
Lang.
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Disclaimer The views expressed are those of the authors and do not
necessarily reflect those of their institutions.
(1) A partial remedy is to use a two-step procedure, where the Non
Accelerating Inflation Rate of Unemployment (NAIRU) or mark-up shock is
first calibrated off model using external information, for example, on
the impact of institutions in a reduced-form unemployment equation, and
then simulated within the macroeconomic model. However, this strategy
leads to unbiased estimates only if other direct or indirect effects of
institutions on economic performance can be neglected.
(2) For instance, Coenen et al. (2007) examine the effects of
temporary fiscal measures. Everaert and Schule (2006) use the IMF's
global economy model to explore transitory costs of reforms. Imperfect
competition in labour and product markets is modelled in a stylised
manner through the existence of mark-ups. Similarly, Kilponen and
Ripatti (2005) have investigated the quantitative effects of an increase
in competition in both product and labour markets. Batini et al. (2005)
examine the impact of combined fiscal adjustment and structural reforms
for Japan.
(3) Removing the country fixed effects and institutional variables
that do not come out significant in the Bassanini and Duval equation
would increase the level estimate of structural unemployment, without
significantly modifying its profile.
(4) It should be noted, however, that a national-accounts based
measure of the tax wedge would lead to a lower contribution.
(5) For this exercise OECD Economic Outlook NAIRUs rather than
structural unemployment rates have been used, as the latter are by
construction correlated with institutions. NAIRUs and structural
unemployment rates usually display similar trends in OECD countries, but
levels differences can be observed for some countries.
(6) A simple rule of thumb derived from regression analysis is that
the correlation is significant when it exceeds 0.1 in absolute value.
(7) As the transition dynamics are very similar for different
reform measures, the discussion of impulse response patterns focuses on
labour tax cuts, however. Impulse responses for benefit and product
market reforms are displayed in Mourongane and Vogel (2008).
(8) See Cahuc and Zylberberg (2004) for an excellent overview on
labour adjustment costs.
(9) An implication is that no long-term complementarities between
reforms increasing flexibility and reforms increasing labour supply can
be found in our simulations.
(10) Similar results are found for a reduction of the benefit
replacement ratio and a cut in employer social security contributions.
See Mourougane and Vogel (2008).
(11) Contrary to the baseline model, labour adjustment costs also
affect the steady state production and consumption level in the
search-and-matching framework. As there are separations in each period,
positive adjustment costs will even accrue in the steady state, reducing
the level of consumption and equilibrium employment.
(12) Because consumption equations have not been estimated over the
same period in the United States and the euro area, the traditional
result (eg Angeloni et al., 2003b) that consumption is more sensitive to
interest rates in the United States than in the euro area does not apply
in this simulation. Hence, differences in the adjustment process between
the United States and the euro area in the presence of monetary reaction
may even be understated.
ANNABELLE MOUROUGANE (1) & LUKAS VOGEL (2)
(1) OECD Economics Department, (2)0 rue Andre Pascal, 75775, Paris
CEDEX 16, France.
(2) DG Economic and Financial Affairs, European Commission, 1049
Brussels, Belgium.