What do unions do to pension performance?
Even, William E. ; Macpherson, David A.
What do unions do to pension performance?
Unions can have either positive or negative effects on
risk-adjusted returns in pension plans. On the positive side, a union
can improve monitoring of pension advisors and asset managers. On the
negative side, the union may sacrifice returns by making investments
that promote union goals. This paper discusses how the structure of the
pension plan affects the union's ability and willingness to
sacrifice returns to promote union goals. Using panel data on over
38,000 pension plans drawn from IRS Form 5500 filings between 1988 and
2008, we find the lowest petforming plans are unionized multi-employer
plans. Among defined contribution plans, the underperformance of
multi-employer union plans disappears when the pension is controlled by
individual participants. (JEL J32, J51)
I. INTRODUCTION
While private sector unionism has declined over the past 50 years,
union pension funds continue to be an important source of retirement
savings in the United States. In 2009, collectively bargained private
pension plans controlled approximately $1.5 trillion in assets and
covered 31.6 million people. (1) Relative to the universe of private
pensions, the collectively bargained plans cover 24% of the participants
and 28% of the assets.
Union leadership has a long history of encouraging its membership
to leverage its control over these pension assets to promote union
objectives. Unions encourage their members to invest pension assets in
unionized companies and in projects or communities that employ union
labor. More recently, union leadership has promoted the use of pension
assets to initiate and support shareholder proposals for changes in
corporate governance, and to pressure mutual funds on their proxy voting
behavior.
Some commentators oppose the use of pension funds to promote union
goals, arguing that
such activities reduce the risk-adjusted return on pension assets
and violate the fiduciary requirements of the Employee Retirement Income
Security Act of 1974 (ERISA). Union leadership argues that pro-union
activities do not necessarily reduce risk-adjusted returns and could
improve performance. (2)
This study discusses the various ways that unions could either
enhance or harm risk-adjusted performance and empirically investigates
union effects. While prior research
has focused on the effect of unions on pension performance, the
most recent work is over 20 years old (Dorsey and Turner 1990). Since
that study, the design of union and nonunion pensions has changed
dramatically. In particular, there has been a pronounced shift from
defined benefit (DB) to defined contribution (DC) plans. Also, among DC
plans, participant direction has become much more popular. Our study
discusses how these changes in plan design could alter the union's
ability or incentive to sacrifice returns to promote union goals. Our
empirical analysis of IRS Form 5500 filings over the past two decades
shows that pension structure significantly alters the union effect on
performance. While risk-adjusted returns are lower for multi-employer DB
and DC plans, there is no evidence of a negative effect among
participant-directed (PD) DC plans.
II. BACKGROUND
Unions have a long history of encouraging the use of pension assets
to advance union goals. In June 1980, the American Federation of Labor
and Congress of Industrial Organizations (AFL-CIO) announced that labor
unions should become more actively involved in the administration of
pension fund activities. (3) This pension activism comprises a wide
range of activities, including selecting trustees, investing assets in
unionized companies, making loans to support projects that favor union
labor, and exercising voting rights on stock owned by the pension fund.
Opponents question the legality of such activities since the ERISA
requires that pension fiduciaries manage a plan for "the exclusive
purpose of providing benefits to participants" (Section 404(1)(a)).
In 1998, however, the Department of Labor provided an advisory opinion
indicating that the fiduciary standards of ERISA do not preclude
consideration of collateral benefits so long as "the investment
offering the collateral benefits is expected to provide an investment
return commensurate to alternative investments having similar
risks." (4) Hence, union pension activism is acceptable so long as
there is no reduction in the risk-adjusted return of the pension
portfolio. Disagreement remains, however, about the impact of union
pension activism on risk-adjusted returns. As discussed below, the
effect on performance will depend on the specifics of the union
activism.
Unions can promote their fund goals by investing in companies that
employ union labor. This can be accomplished by direct purchases of a
company's stock, but more recently, registered investment
companies, insurance companies, and banks are designing investments that
are diversified across a wide spectrum of union employers to offer
greater risk diversification. For example, the Housing Investment Trust
(HIT) and the Building Investment Trust (BIT) are bank-managed trusts
that serve union pension plans. These trusts managed over $6 billion in
assets in 2012 and are invested entirely in residential or commercial
projects employing union labor. (5) Another example is the International
Association of Machinists and Aerospace Workers (IAM) fund managed by
State Street Group, which invests the majority of its assets in
companies that either "(1) have entered into collective bargaining
agreements with the IAM or affiliated labor unions or (2) are listed in
the S&P 500 Index and have not been identified by the IAM as having
nonunion sentiment." (6) Some banks attract union pension funds by
offering "target CDs" that provide a guaranteed rate of return
in exchange for a promise that the funds finance projects employing
union labor. (7) One such agreement includes the purchase of a CD by a
roofers' union pension fund with the agreement that low interest
loans be provided for roofing projects performed by an approved union
contractor.
Calabrese (1999) reports that over 80% of targeted investments by
union pension funds in the 1990s were dedicated to financing union-built
construction, and some evidence suggests the rising use of private debt
and equity purchases to promote union goals. For example, the Union
Labor Life Insurance Company (ULLICO) has a private equity fund that
invests in small start-up firms in exchange for an agreement that the
firm confer collateral benefits to the union--such as union neutrality
or card check recognition.
Union goals can also be promoted with shareholder activism.
Union-sponsored pension funds submitted 43% of shareholder corporate
governance proposals in 2004 and the proposals vary in their objectives
(Prevost, Rao, and Williams 2012). Some restrict executive compensation,
other proposals place restrictions on takeover defenses, and still
others require that union representatives be included on corporate
boards or that managerial pay be tied to employee welfare.
Unions also pressure mutual funds to vote proxies in accordance
with union objectives. Partly in response to union pressures, the
Securities and Exchange Commission began to mandate disclosure of mutual
fund proxy voting in 2003. In the same year, the AFL-CIO issued proxy
voting guidelines for its union membership and began rating mutual funds
based on their voting behavior (Cremers and Romano 2011). In 2005, the
AFL-CIO went a step further by informing investment firms that organized
labor would consider a firm's position on Social Security
privatization when choosing mutual funds for pension investments
(Furchtgott-Roth 2008).
The effect any particular type of union pension activism has on
risk-adjusted performance will depend upon the specifics. Consider, for
example, a policy that tilts investments toward the stock of companies
that employ union labor. Hirsch (2007) concludes that unions, on
average, lower accounting profits and the value of the firm. Lee and Mas
(2012) find that a union election victory reduces a firm's stock
value by about 10%. However, both studies also note that if financial
markets are efficient, the decline in the stock price should reflect the
expected effect of the union on the present value of all future profits,
so that the expected return on stock in union and nonunion companies
should be identical after the election result is made public. In this
case, tilting the pension fund toward investments in unionized companies
would not impact pension performance. On the other hand, if unions use
pension assets to make loans below market rates for projects that employ
union labor, the fund is sacrificing risk-adjusted returns to promote
collateral benefits for union members.
Shareholder activism by a union pension fund could have positive or
negative effects on risk-adjusted performance depending on the specific
governance changes that the union proposes. For example, if the union
promotes changes in corporate governance that increase union bargaining
power and thus lowers corporate profits, there will be a reduction in
risk-adjusted returns as the stock price falls to reflect a lower
expected stream of future profits. If the change in corporate governance
improves corporate performance (e.g., by improving corporate board
structure or executive compensation rules), risk-adjusted performance
would be enhanced.
Renneboog and Szilagyi (2009) and Prevost, Rao, and Williams (2012)
show that union-sponsored proposals for changes in corporate governance
can create either positive or negative stock price reactions depending
on the nature of the proposal and the governance structure of the
targeted firm. Agrawal (2012) finds that union voting behavior on
corporate governance proposals varies depending on whether the targeted
company employs union labor. For example, corporate governance proposals
eliminating "poison pills" would make hostile takeovers easier
and could improve stock performance. However, a hostile takeover could
also result in layoffs for existing workers. Consequently, the union
might favor elimination of poison pills when the firm has a nonunion
workforce, but oppose elimination if it increases the risk of layoffs
for union labor.
Unions could enhance pension performance by improving monitoring of
pension fund sponsors, service providers, or money managers. GAO (2009)
and Turner and Muir (2012) underscore the prevalence of conflicts of
interest for parties involved in pension plan administration. For
example, pension advisors who are compensated by the mutual fund
industry with commissions could steer the pension plan toward high
expense funds that pay higher commissions. The expense fees in pension
funds can be quite substantial. Purcell and Topoleski (2009) explain
that the median fee for both money management and administration in a
sample of 401(k) plans is 0.72% of assets, with significant variation
from a rate of 0.35% at the 10th percentile and 1.72% at the 90th
percentile, across plan types.
While plans are required by law to disclose most of the fees that
plan participants pay, the information is provided piecemeal, making
comparisons across plan options difficult (GAO 2006). In a DB plan, the
employer has an incentive to keep fees low because any shortfall in
return comes at its expense. In a DC plan, the fees are passed through
to the participants, and the employer has little incentive to keep fees
low without pressure from the participants. Without a union, it may not
be cost effective for any single worker to spend the time and effort
necessary to assure that money managers keep expenses to a minimum. With
a union, pension participants are able to act collectively, reduce the
free rider problem with monitoring, and potentially improve monitoring
of the pension fund manager. (8) There is, however, the question of
whether agency problems for a pension trustee are greater when a trustee
is appointed by union leadership rather than management.
A. The Importance of Plan Design
While the union has a variety of ways to leverage pension assets to
promote union goals, several pension design features could affect the
union's ability or incentive to pursue activist policies. These
design features include (1) whether the pension is a single- or
multi-employer plan, (2) whether the pension is a DB or DC plan, and (3)
whether the plan is trustee-directed (TD) or participant-directed (PD).
In collectively bargained single-employer plans, the firm chooses
the pension manager and the union is not guaranteed any control over the
pension assets, though a small number of unions have used the collective
bargaining process to negotiate for joint-trusteeship between union and
management (Cook 2002). Our research was unable to find information on
how many unions have negotiated joint-trusteeship for single-employer
plans.
Unions have the greatest control over investments in multi-employer
(also called Taft-Hartley) pension plans where the plan covers workers
from multiple employers. Such plans are most common where workers are
not attached to a particular firm, for instance those employed in the
building trades and trucking industries. The Taft-Hartley Act requires
that such plans be jointly trusteed by union and management. Moreover,
many observers believe that unions have had effective control over
multi-employer plan management. (9)
Consistent with the premise that unions have little influence on
single-employer plans, Dorsey and Turner (1990) found that unions had no
impact on the performance of single-employer plans, but that unionized
multi-employer plans underperformed. However, they also found that the
inferior performance of the multi-employer plan existing in the late
1970s disappeared during the 1980s. They suggest that the shortfall in
performance was eliminated when the Department of Labor issued
advisories in 1980-1981 warning that an explicit sacrifice of earnings
for nontraditional objectives was a violation of ERISA fiduciary
requirements. (10)
Several pension design features can influence a union's
incentive or ability to use pension activism to pursue union goals. For
example, whether the pension is a DB or DC plan could be important. With
a DB plan, the employer is liable for any shortfall in returns. With a
DC plan, the employer is liable only for contributions to the pension,
and any shortfall in returns reduces the employee's account balance
at retirement. Consequently, management should be less willing to
sacrifice returns in a DB plan. The reverse is true for the union
membership. Therefore, if the employer controls the assets, union
activities that reduce performance should face less resistance in DC
than DB plans, although unions may be willing to offer wage concessions
in exchange for greater control over assets in DB plans. If the union
has control over assets (as in a multiemployer plan), it should be more
willing to sacrifice returns in a DB plan.
Another factor that potentially affects how much union pension
funds sacrifice returns to promote union goals is whether a DC plan is
TD or PD. In a TD DC plan, each participant receives shares of a common
portfolio in proportion to his or her contributions and investment
earnings. In PD plans, the pension sponsor chooses the list of
investment vehicles offered by the plan, but each individual decides how
much to invest in the various investment options. Among DC plans, there
has been a dramatic move from TD to PD plans over the past 20 years with
the percentage of DC participants who manage some or all of their
pension assets rising from 15% to 86%. (11)
A switch from TD to PD plans should reduce union pension activism
if workers believe that it reduces risk-adjusted returns. As a group,
the membership may believe that the benefits of the pension activism
(e.g., increased employment of union labor) exceed the cost (reduced
pension returns). Hence, with collective decision making, the union may
decide that the collateral benefits to the group outweigh any loss in
returns. With participant direction, each worker makes an individual
decision based on a comparison of individual benefits and costs of
activism. Because the vast majority of collateral benefits associated
with any individual worker's investments spill over to other
workers, each worker will ignore many of the benefits that accrue to the
group at large. That is, many of the collateral benefits from activism
are like a public good to the union membership. Switching from trustee
to participant direction introduces a free rider problem and may limit
pension investments in activities that generate a public good. (12)
In review, union influence could have positive, negative, or zero
effects on risk-adjusted returns. Targeting investments that generate
collateral benefits for union members could reduce risk-adjusted
returns, but it could have zero effect if the investments are made in a
competitive and efficient asset market. Shareholder activism by unions
could have either positive or negative effects on performance depending
on the nature of the governance proposals. Finally, unions could improve
performance with additional monitoring of pension fund managers.
The union influence over pension investment practices may differ
depending on the specifics of the plan type. A union's ability to
exercise control over pension assets is greatest in multiemployer plans
where they are directly involved in management of the pension. Employers
may allow unions to exert greater influence in DC plans, which shift the
cost of any underperformance to the workers. On the other hand, unions
may be more willing to sacrifice returns in a DB plan, as it comes at
the expense of the employer unless the employer is able to extract wage
concessions in exchange for giving the union greater control. If a DC
plan is PD, the union membership is more likely to act in their
individual interest (instead of the union's interest) when deciding
whether to invest in a pro-union project that reduces risk-adjusted
returns. Participant direction of DC plans should therefore reduce any
negative effect of unions on pension performance.
III. DATA AND EMPIRICAL METHODOLOGY
To investigate the effect of unions on pension fund performance, we
draw data from pension plan filings of IRS Form 5500 for private sector
plans between 1988 and 2008. These data contain information on asset
values, investment income, and administrative and asset management
expenses that can be used to estimate an annual rate of return. Because
plans with less than 100 participants fill out an abbreviated form and
some are excluded from the public release database, our analysis focuses
only on plans with 100 or more participants. We also exclude Employee
Stock Ownership Plans (ESOP) because they are not designed to be
well-diversified portfolios, and present special issues when calculating
the rate of return. (13) To estimate risk-adjusted returns, we need
panel data on pension returns and restrict the sample to plans that have
at least 10 years of data. The resulting sample includes 38,895 pension
plans, of which 6,773 are collectively bargained plans. Because our
sample excludes small plans, ESOPs, and plans with fewer than 10
observations, our 2008 data cover only 3.5% of all private sector
pension plans. Nevertheless, the 2008 plans in our sample are large and
cover 46% of the active participants and 56% of the assets for private
plans in that year.
To estimate the rate of return on pension plans in the IRS Form
5500 data, we use the approach described by McCarthy and Turner (1989).
The rate of return is calculated as investment income (dividends,
interest, and both realized and unrealized capital gains) divided by
assets at the beginning of the year. (14) This is the same methodology
used by the Employee Benefits Security Administration in its annual
summary of pension returns from the IRS Form 5500.
The rate of return estimates are net of any expenses charged by
external money managers (e.g., master trusts, registered investment
companies, or insurance companies) and also subtract any administrative,
advisory, or asset management expenses explicitly charged to the pension
plan. The IRS Form 5500 data may understate administrative expenses
because an employer could absorb some of these expenses and fail to
report them. (15)
Figure 1 compares the annual net of expense rate of return of
nonunion with single- and multiemployer union plans over our sample
period (1988-2008). The value-weighted return on all New York Stock
Exchange (NYSE), American Stock Exchange (AMEX), and National
Association of Securities Dealers Automated Quotation System (NASDAQ)
stocks is presented as a benchmark. (16) The average annual returns on
union and nonunion plans track each other closely. Average pension
returns are highly correlated with stock market returns, but there is
less volatility in pension returns. This is to be expected as most
pension funds have a significant share of assets in bonds. For example,
in 2009, 39% of assets in pensions sponsored by the S&P 1500 firms
were in bonds (Hartsohn 2010).
One concern with our panel data set is that it could create a
survivor bias in estimated rates of return. Ex ante, we have no strong
priors on the direction of any survivorship bias as plans could have
fewer than 10 years of data for a number of reasons that are unlikely
correlated with pension performance. For example, plans that started
after 1999 would be unable to generate 10 years of data by the end of
our sampling period, thus necessarily excluded from our data. Also,
plans that existed prior to 2000 could have been terminated if there was
a merger of firms, a bankruptcy of the sponsoring firm, or if one plan
was replaced by another (e.g., a DB is replaced by a DC.) (17)
To determine whether survivor bias is a problem, we estimate a
regression of net pension returns as a function of whether it survives
the requirement for 10 years of data, controlling for plan
characteristics and fixed year effects. The results indicate that the
difference between the average net return in the survivor sample and
full sample (the "survivor bias") is +13 basis points for
nonunion plans, +12 basis points for single-employer union plans, and
+16 basis points for multi-employer union plans. (18) Consequently,
controlling for plan characteristics and year effects, restricting the
sample to plans with 10 or more years of data, results in slightly
higher returns for all three plan types, but the effect on differential
performance across plan types is negligible. (19)
Table 1 provides the sample characteristics for nonunion (NonU),
single-employer union (SingleU), and multi-employer union (MultiU)
plans. Over the sample period, NonU plans had lower average returns and
higher within-plan volatility than either SingleU or MultiU plans. The
average annual rate of return (net of expenses) was 6.8%, 8.0%, and 6.8%
for NonU, SingleU, and MultiU plans, respectively. The within-plan
standard deviation of net returns was 12.3%, 11.0%, and 9.0%. On the
basis of these simple comparisons, one might conclude that NonU plans
underperform relative to unionized plans. However, this would ignore
several important factors. First, union and nonunion plans are not in
the sample for the same years. The returns need to be adjusted for which
years of data are used to calculate the rate of return. To make this
adjustment, we estimated a regression of net returns with dummies for
plan type (SingleU and MultiU) and added year fixed effects. The results
imply that, compared with NonU plans, SingleU plans have a slightly
higher return (0.3%) and a slightly higher variance of returns (.03%);
MultiU plans have a lower return (1.0%) and a higher variance of returns
(.05%). (20) Second, union plans have many more participants than
nonunion plans. Since there are scale economies in pension
administration with respect to both the number of participants and
assets per participant, this should, ceteris paribus, result in superior
performance among the unionized plans. (21) Third, economies of scope in
the administration of pension plans could give SingleU plans an
advantage relative to the NonU or MultiU, since SingleU employers are
the most likely to offer more than one pension plan. (22) Fourth, both
SingleU and MultiU plans are approximately three times more likely than
nonunion plans to be DB plans, which are more expensive to administer
than DC plans. (23) Union plans are also less likely to be PD or have a
401(k), profit sharing, or money purchase feature. To the extent that
such features impact the administrative costs of the plan, this could
result in differential performance by union status. Finally, union plans
could take on a very different risk profile than nonunion plans. Any
comparison of returns across plans requires an adjustment for
differential risk exposure in the plans.
To determine how unions affect risk-adjusted return performance, we
use a version of the Fama-French (FF) model (Fama and French 1993). We
include four risk factors for stocks and two risk factors for bonds.
This methodology is a common way to examine the risk and return features
of a stock or mutual fund. (24) The essence of the approach is described
by the regression below where excess pension returns are regressed on a
constant and six FF factors:
(1) [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
where i indexes the pension plan and t indexes time. The dependent
variable is the annual return on the pension portfolio (net of expenses,
measured in percentage points) in excess of the "risk free
rate" measured as the average of the corresponding annualized
1-month U.S. Treasury bill rates. The control variables include six FF
factors. The first four represent stock market risk factors: VWRF is the
value-weighted returns on all stocks traded on the NYSE, AMEX, and
NASDAQ in excess of the risk free rate (the annualized yield on 1-month
U.S. Treasury bills); SMB (small minus big) is the difference in returns
on small-versus large-cap portfolios; HML (high minus low) is the
difference in returns on value and growth portfolios; MOM (momentum)
represents the difference in returns on portfolios formed on size
categorized as "winners" and "losers" based on
returns in the prior 2-12 months. (25) The remaining two factors
represent bond risk. TERM is the difference in annual returns on 20-year
government bonds and 1-month treasury bills. DEF is the difference
between the annual returns on 20-year government bonds and a portfolio
of 20year AAA and AA corporate bonds. (26) Because the pension plan
reporting year does not necessarily coincide with the calendar year, all
risk factors are calculated to match the 12-month period corresponding
to the plan's IRS Form 5500 filing.
In the FF model, the coefficients on the FF factors reflect the
exposure to risk factors in the market. For example, if a pension is
entirely invested in the overall market portfolio (as measured by VWRF),
[[beta].sub.1] would equal 1; and [[beta].sub.2] through [[beta].sub.6]
would equal 0. If instead the portfolio was invested entirely in 1-month
U.S. Treasury bills, [[beta].sub.1] through [[beta].sub.6] would equal
zero. If there were no administrative, record keeping, or investment
fees for managing the pension, [alpha] would equal zero in both cases.
To the extent that there are such fees, [alpha] will be negative.
Idiosyncratic risk is captured in the residual. In theory, idiosyncratic
risk is not rewarded with higher expected returns. (27) A plan's
risk-adjusted net returns is measured by [alpha].
The FF regression is estimated separately for each pension plan and
by union status using OLS. Because there are few observations per plan
(minimum of 10, maximum of 21), the coefficient estimates may be
estimated imprecisely making it difficult to accurately test for
differences in plan behavior by union status. The large number of plans,
however, potentially mitigates this problem and, as seen below, the vast
majority of FF regressions have statistically significant explanatory
power, which reveals statistically significant differences in the
parameters by union status.
The estimated FF coefficients are used to examine the impact of
unions on pension performance. First, using a procedure similar to that
of Carhart's (1997) and Busse, Goyal, and Wahal's (2010) to
analyze the performance of mutual fund and institutional investment
managers, the union's effect on risk-adjusted performance is
estimated by regressing each plan's measure of risk-adjusted
performance including the year-specific residual from the FF equation
([[alpha].sub.i] + [e.sub.it]), on a dummy variable, indicating whether
the plan is collectively bargained. Our measure of performance varies
across time for a given plan because the residual from the first stage
equation is added to [[alpha].sub.1]. This allows us to estimate whether
control variables that vary over time for a given plan (or across plans)
systematically explain its variation in performance over time. The
standard errors for the coefficients in the risk-adjusted return
regression are corrected for clustering of residuals by plan and
heteroskedastic errors. Because union status might correlate with other
variables impacting performance, we add controls for other pension
characteristics that might affect performance and year dummies that
might account for changes in performance owing to regulatory or
technological changes potentially affecting administrative or asset
management expenses.
IV. RESULTS
A. FF Regressions
A separate FF regression is estimated for each of the 38,895
pension plans in the panel data set. The means of the estimated
coefficients are presented in Table 2 along with the percentage of times
that each coefficient is statistically different from zero at the .05
level. (28) The number of regressions corresponds to the number of
pension plans in the panel data set (38,895). The average of the
regression [R.sup.2] values is .88. The excess return on the market
equity index is the FF factor that has the greatest explanatory power.
The average coefficient is .52, which is statistically different from
zero at the .05 level for 93% of pension plans. The fact that the
coefficient is substantially below one is consistent with Figure 1,
which shows that the return on the average pension plan tracks the
market index but is less volatile. The other FF factors have smaller
coefficients (in absolute value) and are less frequently statistically
significant. A test of the joint hypothesis that all the coefficients on
the six factors equal zero is rejected for 95% of pension plans.
Overall, despite the small sample sizes for each pension plan, the
regressions generally have statistically significant explanatory power.
The results of the FF regressions suggest that SingleU plans have
the highest average risk-adjusted performance (a). The average estimate
of a is -.13 for SingleU, -.44 for NonU, and -.71 for MultiU. The
coefficients on the market index suggest that MultiU plans have the
least exposure to equities while NonU plans have the highest. MultiU
plans have the greatest exposure to the term and default factor. The
greater exposure to the term and default factors is consistent with the
fact that, among the plans that report asset holdings, MultiU plans hold
a larger share of assets in government and corporate bonds. (29) The
fact that risk exposure differs across plan type could reflect
differences in the preferences of the members. For example, if the
workers in MultiU plans are older or more risk averse, on average, they
would likely prefer a larger share of assets to be invested in bonds.
Alternatively, it might be that union control over assets affects the
taste for risk--though we do not have a theory for why union trustees
would be more or less conservative than their members. Unfortunately, we
do not have data on the characteristics of plan members and are unable
to investigate the underlying reasons for differential risk exposure
across plan types. Nevertheless, the systematic differences in risk
exposure highlight the importance of risk-adjusting returns to compare
performance across plans.
Figure 2 plots the estimated kernel density distributions for
risk-adjusted net returns ([alpha]) by union status and shows that the
lower mean of risk-adjusted returns for union plans is not the result of
outliers in the data. The observed performance differentials could be
due to the factors correlated with unionism. Regression analysis is
required to isolate the effect of unionism.
B. Regression Analysis of Excess Returns
Table 3 presents several specifications analyzing the determinants
of risk-adjusted net pension returns ([alpha]). (30) With the exception
of the single-employer and multi-employer union plan dummies, all
variables are measured as deviations from means so that the intercept
represents the mean value of [alpha] for the nonunion sample holding
other plan characteristics equal to the mean for all plans.
Besides year and industry controls, specification (1) contains a
dummy variable for single-employer union plans and another for
multi-employer union plans. Compared with NonU plans, SingleU plans
outperform nonunion plans by 19 basis points, and the difference is
statistically significant at the .01 level of significance. MultiU plans
underperform by 22 basis points. This simple specification, however,
does not adjust for several factors that might affect administrative and
money management costs.
To control for plan differences that might influence performance,
we first estimate separate regressions for DB and DC plans
(specifications 2 and 3) without any controls for plan characteristics.
Among DC plans, SingleU plans outperform the NonU plans by 48 basis
points; the performance of MultiU plans is not significantly different
from the performance of NonU plans. For DB plans, the performance of
neither SingleU plans nor MultiU plans is significantly different from
the performance of NonU plans.
These simple comparisons do not control for the fact that union and
nonunion plans' differences could account for the performance
differentials. In specifications (4) and (5), we add controls for number
of participants, assets per participant, the age of the plan, year and
industry dummies, and whether the employer offers other plans. (31) The
estimated effects of these controls are generally consistent with
expectations. For example, the positive effects of per capita assets and
the positive but diminishing effects of the number of participants
suggest scale economies in both dimensions. Also, the better performance
of older plans could reflect start-up costs and/or improved efficiencies
from experience.
As discussed previously, unions can exercise the greatest influence
on investments in multiemployer plans, which is where we expect to find
the largest union effect. In single-employer plans, unions have limited
ability to implement activist policies since the employer makes the
investment decisions. The union could, however, improve performance by
strengthened monitoring of pension fund managers. We also predict that a
MultiU DB plan will be more willing to sacrifice returns as
underperformance comes at the expense of the employer unless the
employer is able to extract wage concessions to compensate for the loss
of performance.
The pattern of results in specifications (4) and (5) are consistent
with our hypotheses. First, MultiU plans underperform relative to NonU
plans, and the difference is statistically significant at the .01 level.
Moreover, the underperformance is worse among DB plans (76 basis points)
than DC plans (36 basis points).
In contrast to the findings for MutliU plans, we find no
significant performance differential between SingleU and NonU plans.
Among DC plans, SingleU plans have a slight performance edge (14 basis
points) over NonU plans, but the effect is statistically insignificant
at the .10 level. Among DB plans, the SingleU plans slightly
underperform (4 basis points), but this effect is not statistically
significant at the .10 level either.
Overall, the empirical results imply that SingleU plans do not
underperform, whereas MultiU plans do, particularly among DB plans.
There are three competing explanations for the underperformance of
MultiU plans: (1) they are more expensive to administer; (2) MultiU
plans sacrifice returns to promote union goals; or (3) there are greater
agency problems in MultiU plans causing a sacrifice of returns for the
trustees' own personal gains. An inability to accurately measure
administrative expenses with IRS Form 5500 data precludes determining
whether higher administrative expenses are the source of
underperformance. Administrative expenses are inaccurately measured, as
asset management practices vary. For example, if a plan invests its
funds with a mutual fund or insurance company, the administrative
expenses for managing the underlying funds would simply be subtracted
from the funds' returns and will not appear as expenses on the IRS
Form 5500. On the other hand, a pension fund that hires an investment
advisor to manage its funds will show the explicit charges for the
investment management services on the IRS Form 5500. To further
complicate matters, some employers may absorb part of the administrative
costs associated with the pension plan by providing office space,
bookkeeping staff, and other expenses that do not reduce net returns. A
MultiU plan is not affiliated with any single-employer, thus less likely
to have an employer absorb administrative costs.
C. The Role of Participant Direction
While we are unable to provide a direct test of the relative
importance of competing explanations for the underperformance of MultiU
plans, the rapid growth of participant direction in pension plans could
shed some light. In a TD pension, all participants hold shares in a
common pool of assets controlled by the pension manager. The pension
manager frequently employs investment advisors to assist with asset
allocation decisions. In a PD plan, the plan sponsor chooses a list of
investment options and each participant decides how to allocate his or
her own assets. In most cases, PD plans consist of offerings from a
registered investment company (mutual funds) or an insurance company.
A pension switching from TD to PD could affect performance in
several ways. First, the asset manager must now manage a separate
account for each participant rather than one common account, which
increases expenses. Conditional on plan size, the effect of PD on
expenses is unlikely to differ for union and nonunion plans and thus
should not affect the relative performance of union and nonunion plans.
Second, PD could make it easier for workers to monitor pension
performance. Because most PD plans offer a list of mutual funds, it is
easy to track performance and compare it to benchmarks. Tracking
performance could be much more difficult in a TD plan that might hold
individual stocks or bonds. Once again, any improvement in the ability
to monitor from PD should have similar effects on union and nonunion
plans and should not affect their relative performance. Finally, PD
could reduce the union's ability to control assets since individual
plan members decide how to invest their assets. This shift in control
over asset allocation decisions could alter plan performance, depending
on who selects better investments. If the union is willing to sacrifice
returns to improve performance, PD should improve performance of union
relative to nonunion plans.
To examine the effect of PD on risk-adjusted returns, we restrict
our sample to DC plans and estimate risk-adjusted return regressions
separately for PD and TD plans. Because data on asset allocations used
in subsequent regressions are not available for the period 1988-1989,
the sample is restricted to plan year observations from 1990 forward. In
the first two specifications, the models control for all the plan
characteristics used in Table 3. With the exception of the dummies for
SingleU and MultiU, all variables are measured as deviations from means.
As a result, the intercept represents the estimate of risk-adjusted
performance for a NonU plan with plan characteristics matching that for
the average pension plan.
Among PD plans, there is no significant difference in the
risk-adjusted performance of NonU, SingleU, and MultiU plans. That is,
PD completely eliminates the underperformance of multi-employer pension
plans. Among TD plans, there is no significant difference in
risk-adjusted net returns for NonU and SingleU plans, but MultiU plans
underperform by 50 basis points. Another interpretation of the estimates
is that a switch from TD to PD has little effect on risk-adjusted
performance for NonU and SingleU plans, but substantially improves
performance for MultiU plans. Since a switch from TD to PD is likely to
have similar effects on administrative expenses for both union and
nonunion plans, we take this as evidence that the forfeiture of union
control over investment decisions with a movement to PD eliminates
negative effects on performance.
One possible explanation for the impact of PD on performance is the
significant asset management differences between PD and TD. Lakonishok,
Shleifer, and Vishny (1992) argue that the mutual fund industry
outperforms institutional pension fund managers because of agency
problems in pension administration. Moreover, TD plans are much more
likely to rely on institutional pension fund managers than PD plans. One
explanation is that TD plans have a common pool of money to manage for
all participants, whereas PD plans must have separate accounts that
allow for differing participant asset allocations. The requirements of
PD give the mutual fund and insurance industry a cost advantage relative
to internal money management, as these industries use technology
designed for managing individual accounts that bring significant scale
economies in fund administration.
Our data confirm the greater reliance of PD plans on external money
managers. We estimate that the average share of assets managed
"externally" (i.e., by trusts, registered investment or
insurance companies) is 56% for TD and 86% for PD plans. For
multi-employer union pensions, the difference is more pronounced: 35%
for TD and 84% for PD plans.
To determine whether the type of asset management explains the
positive PD effect on MultiU plan performance, we add controls for the
share of the fund's assets managed by registered investment or
insurance companies and the share of assets held in common/collective
trusts, pooled separate accounts, master trusts, or 103-12 investment
entities ("trusts"). The omitted asset category reflects
assets managed directly by the pension fund. The results of this
specification are in the last two columns of Table 4.
Consistent with Lakonishok, Shleifer, and Vishny (1992), the share
of assets managed externally has a positive effect on risk-adjusted
returns for both PD and TD plans. A 10 percentage-point increase in the
share of assets managed by registered investment or insurance companies
increases performance by around 4 basis points. An increase in the share
of assets in trusts by 10 percentage points improves performance by 2-3
basis points. Nevertheless, controlling for the share of assets managed
externally does not eliminate the underperformance of multi-employer
plans when they are TD.
We provide several tests for robustness of our empirical results.
Following Busse, Goyal, and Wahal (2010), we consider three other
variations of the model presented in Table 4. First, we exclude the
momentum factor and reestimate the FF regressions to yield an
alternative estimate of risk-adjusted performance. Second, we estimate
value-weighted regressions of risk-adjusted performance where value is
measured by plan assets with and without controls for the momentum
factor. All of the models control for the same list of variables as in
the last two specifications of Table 4. A summary of the coefficients of
interest under these alternative specifications is given in Table 5.
Most of the earlier results are robust to the alternative
specifications; others are not. For example, among DB plans, MultiU
plans under-perform relative to NonU plans; SingleU plans do not
underperform. Among DC plans, the underperformance of MultiU plans
remains in three of the four specifications. The exception is the
value-weighted specification that does not adjust performance for
momentum where the performance of MultiU relative to NonU plans is
actually worse with participant direction. Hence, when returns are not
adjusted for the momentum factor, a comparison of weighted and
unweighted results implies that only small MultiU plans benefit from a
switch to PD--large MultiU plans actually experience a decline in
risk-adjusted performance. In fact, if we restrict our analysis to plans
with assets below the median for DC plans (approximately $5 million),
the result that participant direction eliminates underperformance of
MultiU plans is robust to all four specifications considered.
An obvious question is how one should interpret the inconsistency
in the results regarding the effect of participant direction. The answer
is that there is a systematic relationship between the loading on the
momentum factor, plan size, and participant direction. In separate
analyses, we find that the importance of the momentum factor (measured
by the coefficient on momentum in the FF regressions) rises with plan
assets among TD plans, but falls with size among PD plans. As a result,
a failure to control for the momentum factor causes the estimate of
risk-adjusted performance of large MultiU plans to rise among TD plans,
but fall among the PD.
In order to benefit from the momentum factor, a plan can invest in
assets that recently outperformed the market and sell assets that
recently underperformed. Apparently, the likelihood of following such a
strategy rises with size among TD plans, but falls with size among PD
plans. One possible explanation for the pattern in TD plans could be
scale economies in trading costs which make large plans more likely to
adjust their portfolio on the basis of recent performance. These scale
economies would be less applicable in PD plans where individual
participants are making the decisions on individual portfolios. We admit
that this is speculative and that we do not have a good explanation for
why, among PD plans, the smaller MultiU plans are more likely to take
advantage of momentum. Better data on trading behavior and the details
of the assets held could shed light on this.
D. Are the Effects Large Enough to Matter?
While our empirical results suggest that unions have statistically
significant effects on pension performance, the question of whether the
effects are large enough to cause concern among union members or policy
makers remains. To address this, we examine the effects of union status
on retirement wealth among workers in DC plans.
To provide some sense of the magnitude of the effects, we estimate
that in 2008, the average union member with a DC plan had annual
contributions of $3,700. The average real rate of return (net of
expenses) on union DC plans over our entire sample period was 4.1%. If
real contributions for the typical worker hold constant over a 30-year
career and earn a 4.1 % real rate of return, the worker would accumulate
real wealth of $211,015 by retirement.
Using the above as a benchmark, we estimate the effects of MultiU
pensions on retirement wealth. For example, we estimate that MultiU DC
plans underperform by 36 basis points relative to nonunion plans (Table
3, specification 4). If the underperformance of MultiU plans was
eliminated, workers could increase pension wealth at retirement by 6.2%
(approximately $13,000) without any increase in annual contributions.
As an alternative illustration, consider a MultiU DC plan with and
without participant direction. Our unweighted estimates correcting for
momentum (Table 4) suggest that participant direction is associated with
a 33 basis-point improvement in performance. This would result in 5.7%
more wealth (approximately $12,000) for workers at retirement in the
benchmark situation detailed above. In addition to improved returns, PD
allows workers to adjust their individual portfolios to their personal
and potentially age-specific risk tolerances.
V. SUMMARY AND CONCLUSIONS
This paper describes the numerous ways that unions can affect
pension performance and how pension plan design might alter the effect.
We investigate several hypotheses. First, if there is a union effect on
performance, we expect it to be largest in multi-employer union plans
where unions have the greatest control over assets. Second,
multi-employer union plans should be more willing to sacrifice returns
in a DB than a DC plan, as their employers are responsible for any
shortfall in a DB plan's performance while union membership absorbs
the shortfall in performance of a DC plan. This premise, however,
assumes that employers are unable to extract wage concessions in
exchange for giving the union greater control over pension assets.
Finally, among DC plans, a change from trustee to participant direction
should lessen the union membership's sacrifice of returns to
promote union goals. With trustee direction, leadership controls the
asset allocation decisions. With participant direction, membership
controls the decisions individually and should be less willing to
sacrifice returns for union goals because of a free rider problem.
Our empirical results support most of our predictions.
Multi-employer plans afford unions the greatest control over pension
assets, which also manifest the greatest underperformance relative to
nonunion plans. Also, among multi-employer union plans, performance
relative to nonunion plans is worse in DB than DC plans. While the
underperformance of multi-employer plans could be due to higher
administrative expenses or greater agency problems, evidence that a
switch to participant direction improves the relative performance of
multi-employer union DC plans suggests that union control over
investment decisions is part of the reason that multi-employer plans
underperform. If higher administrative expenses are the reason that
multi-employer plans underperform, a switch to participant should not
eliminate that disadvantage. The fact that a switch to participant
direction improves the relative performance of multi-employer union
plans suggests the participants do a better job of choosing investments
than the union trustees. We should emphasize, however, that this result
is most robust for small plans. For large plans, the result is sensitive
to how risk-adjusted returns are calculated.
Our overall conclusion is that union control over investment
decisions have no significant influence on the performance of
single-employer plans, and negative or neutral effects on performance in
multi-employer union plans, depending on pension design. On the basis of
these results, we expect that if DB plans continue to decline in
popularity and participant direction continues to grow among DC plans,
any negative effect of unions on pension performance will diminish over
time. (32)
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(1.) See U.S. Department of Labor (2011).
(2.) See, for example, Vernuccio (2009) or Entine (2008).
(3.) See Bennett and Johnson (1981) and Northrup and Northrup
(1981) for details on union efforts to gain control over pension funds
in the 1980s and the potential conflict between these efforts and
federal pension regulations contained in the Employee Retirement Income
Security Act of 1974.
(4.) Advisory opinion 98-04A issued by the Pension and Welfare
Benefits Administration can be found at http://www.
erisaadvisoryopinions.com
(5.) For details on asset holdings and objectives, see
www.aflcio-hit.com and www.aflcio.bit.com
(6.) See http://mypension.iamnpf.org/media/13784/IAM_
National_Investment_Option_Summary.pdf
(7.) Calabrese (1999) provides specific examples of such
agreements.
(8.) This argument is similar to the belief that institutional
ownership of a corporation improves monitoring because large equity
positions make research and monitoring expenditures more cost effective.
Thus, for example, corporations with many small owners may be monitored
less closely than those with a few large institutional owners. See. for
example, Agrawal and Mandelker (1990), or Shleifer and Vishny (1986).
(9.) See Dorsey and Turner (1990) and the cites contained therein.
(10.) An alternative explanation for the underperformance of union
pension funds is that union plans tilt equity investments toward
unionized companies and the stock returns were lower for unionized
companies in the late 1970s and early 1980s, but were similar for union
and nonunion firms both before and after these time periods (Hirsch and
Morgan, 1994).
(11.) See Even and Macpherson (2010) for evidence on the causes and
consequences of the shift toward PD plans.
(12.) While participant direction could reduce investments in union
projects when risk-adjusted returns are reduced, this same logic does
not apply equally to shareholder activism as proxy voting rights are
held by the pension trustees or their investment managers regardless of
whether or not the plan is PD.
(13.) See Conte (1994) for a discussion of the issues with
calculating the rate of return on ESOP plans.
(14.) To be precise, the annual rate of return is calculated as net
income from assets divided by invested assets. The net income from
invested assets is defined as the sum of interest, dividends, rents,
royalties, net realized gain or loss on sale or exchange of assets,
other income, unrealized appreciation or depreciation of assets, and net
investment gain from trusts minus unrealized appreciation or
depreciation of buildings and depreciable property used in plan
operations. Investable assets are defined to reflect assets at the
beginning of the year plus additional purchases of assets through the
year with the assumption that all purchases are made midyear.
(15.) Both Mitchell and Andrews (1981) and Dorsey and Turner (1990)
note that administrative expenses are rarely reported in single employer
plans because the firm frequently absorbs the costs as part of their
everyday operations. However, when pension funds are externally managed
(e.g., registered investment companies, insurance companies, or master
trusts), there are typically explicit charges for administration of the
plan, and investment management fees are subtracted from the returns on
the funds that they manage.
(16.) The returns on the overall market are drawn from Kenneth
French's website at http://mba.tuck.dartmouth.
edu/pages/faculty/ken.french/Data_Library/f-f_factors.html. The sample
used to generate the plot of annual returns is restricted to the 81% of
pension plans whose filing year matches the calendar year. There are few
observations in most of the other months, which reduce the precision of
the estimated mean for those months.
(17.) If pensions hold some share of assets as company stock,
bankruptcy or mergers could be related to pension performance. However,
our elimination of ESOP plans reduces this potential source of survivor
bias.
(18.) In an OLS regression of returns on a survivor dummy and other
controls using all plans (survivors and nonsurvivors), the regression
line passes through the mean so that [MATHEMATICAL EXPRESSION NOT
REPRODUCIBLE IN ASCII], where [bar.r] is the mean return for all plans,
[bar.S] is the mean of a dummy variable indicating whether a plan is a
survivor, and [bar.X] is a vector containing the means of the plan
characteristics and year effects. Controlling for plan characteristics
and year effects, the difference between the mean return of a sample
with only survivors ([bar.S] = 1) and the entire sample is
[[alpha].sub.1](1 - [bar.S]). This logic is applied separately for each
type of plan by introducing interaction terms between dummies for plan
type (nonunion, union single employer, union multiemployer) and the
survivor dummy.
(19.) The comparison of survivor and non-survivors is conditioned
on the plan characteristics and controls for year effects. Without
controlling for these differences in plan characteristics, the survivor
bias appears larger as, for example, the survivors tend to be larger and
older plans that have performance advantages for reasons we discuss
below. Also, as any plan started after 2000 is excluded from the
survivor group, it includes fewer observations from this time period,
which had below average returns.
(20.) All of the differences between NonU and either SingleU or
MultiU plans are statistically significant at the .01 level. To compare
variance of returns across plan types, we regressed the squared-residual
from the net return regression with year fixed effects and plan type
dummies for SingleU and MultiU.
(21.) Investment Company Institute (2009) provides a good review of
the factors affecting administrative costs and shows economics of scale
in administration with respect to balance per participant and number of
participants. See also Mitchell and Andrews (1981), Ghilarducci and
Terry (1999), and Bikker and De Dreu (2009) for evidence on scale
economies in the administration of pension plans.
(22.) The fact that an employer offers more than one pension plan
does not necessarily mean that the same workers are covered by multiple
plans. For example, a given employer may offer two pension plans and
these two plans may cover the same workers or two entirely different
groups of workers. Regardless of whether the plans cover the same
workers or different workers, there is the potential to take advantage
of economies of scope in administration.
(23.) Hustead (1998) shows that administrative expenses are higher
in DB than in DC plans. He also provides evidence that regulatory
reforms have driven up the cost of DB relative to DC plans over time and
may partially account for the shift from DB to DC plans, particularly at
small firms.
(24.) For recent examples employing this methodology to mutual and
pension funds, see Tonks (2005) and Cohen et al. (2008).
(25.) The construction of these variables and the data are
available from Kenneth French's website at http://
mba.tuck.dartmouth.edu/pages/faculty/ken.french/Data_
Library/f-f_factors.html
(26.) The data source for all bond returns is Morningstar (2010).
(27.) This approach to measuring risk-adjusted performance is very
similar to that used by Dorsey and Turner (1990) for examining pension
performance, except that we use multiple risk factors reflecting
different types of stock and bond market risk, whereas they use a single
factor based on a mixed stock and bond market index.
(28.) The r-statistics used to determine statistical significance
for a given plan's regression coefficients are compared to critical
values from the f-distribution with (n - 7) degrees of freedom, where n
represents the number of observations for that plan and are calculated
using robust standard errors.
(29.) Among pension plans that hold less than 25% of their assets
in master trusts (where there is no breakdown provided on asset types
held), the share of assets in government and corporate bonds is 41.3%
for MultiU plans, 21.8% for SingleU plans, and 22.3% for NonU plans.
(30.) The reported t-statistics are based upon robust standard
errors corrected for clustering of residuals by pension.
(31.) The regressions include year and industry dummies to allow
for the fact that risk-adjusted performance might differ systematically
across years and the cost of administration could differ across
industries because of different work force
characteristics or seasonal variability in the timing of
contributions.
(32.) For research regarding the shift from DB to DC plans, see
Gustman and Steinmeier (1992), Kruse (1995), and Ippolito (1995).
WILLIAM E. EVEN and DAVID A. MACPHERSON *
* We thank Stuart Dorsey, Darren Grant, Barry Hirsch, Shu-Chin
Huang, David Shrider, and John Turner for helpful comments.
Even: Department of Economics, Miami University, Oxford, OH 45056.
Phone 513-529-2865, Fax 513-529-6992, E-mail evenwe@miamioh.edu
Macpherson: Department of Economics, Trinity University, San
Antonio, TX 78212. Phone 210-999-8112, Fax 210 999-7255, E-mail
David.Macpherson@trinity.edu
TABLE 1
Sample Means for IRS Form 5500 Pension Plan Data, 1988-2008
Single- Multi-
Employer Employer
All Nonunion Union Union
Union 17.3% 0% 100% 100%
Return net of expenses 6.9% 6.8% 8.0% 6.8%
Standard deviation of 11.9% 12.3% 11.0% 9.0%
net returns
Within plans 11.6% 12.0% 10.6% 8.7%
Between plans 3.1% 3.2% 3.7% 3.0%
Participants 1,841 1,411 2,973 5,123
Per capita assets ($ 1000s) 27.1 27.0 25.1 30.5
Percent assets managed 69.8% 72.2% 77.9% 31.9%
externally
Defined benefit 30.0% 22.0% 71.7% 63.4%
Defined contribution plan 70.0% 78.0% 28.3% 36.3%
Participant-directed- 49.5% 56.7% 19.9% 9.2%
defined contribution plan
401 k plan 54.9% 63.3% 22.3% 4.6%
Profit sharing plan 60.0% 69.2% 22.4% 8.2%
Money purchase plan 5.4% 4.1% 3.7% 21.5%
Offer other DB plan 22.0% 18.9% 60.4% 5.3%
Offer other DC plan 31.9% 30.0% 67.3% 6.4%
Number of plans 38,895 32,461 4,119 2,654
Number of plan year 538,565 445,266 53,107 40,192
observations
Number of observations 13.8 13.7 12.9 15.1
per plan
Notes: The sample is based on IRS Form 5500 data for private
sector plans, with 100 or more participants between 1988 and
2008. The sample excludes plans with less than 10 years of data,
ESOP plans, and plans with missing data on union status or other
key variables.
TABLE 2
Summary Statistics from FF Regressions, 1988-2008
Single- Multi-
Employer Employer
All Nonunion Union Union
Plans Plans Plans Plans
Alpha (in percentage points) -0.43 -.44 -.13 -.71
(18.1%) (17.9%) (17.6%) (20.2%)
Coefficients on FF factors
Market-risk free 0.52 0.54 0.48 0.38
Small-large cap (93.0%) (93.8%) (89.4%) (89.5%)
-.0006 0.0008 0.004 -.021
(23.1%) (23.0%) (25.7%) (21.3%)
High-low book-to-market -.066 -.067 -.064 -.065
(27.7%) (27.9%) (25.6%) (28.3%)
Momentum 0.026 0.029 0.009 0.009
(20.5%) (21.2%) (18.4%) (15.5%)
Term -.087 -.111 -.002 0.062
Default (27.1%) (27.6%) (22.4%) (27.1%)
-.155 -.185 -.106 0.122
(27.0%) (27.6%) (22.4%) (27.1%)
Percentage of regressions 95.1% 95.5% 92.2% 94.6%
with coefficients on
FF factors jointly
significant at .05 level
Average of regression 0.88 0.88 0.88 0.85
[R.sup.2]
Number of pension plans 38,895 32,461 4,119 2,654
Number of observations 538,565 445,266 53,107 40,192
Observations per pension 13.8 13.7 12.9 15.1
plan
Notes: The numbers presented represent the average of the
estimated FF coefficients across the pension plans. The dependent
variable is excess pension return net of expenses measured in
percentage points. In parentheses are the percentages of plans
for which the corresponding coefficients are statistically
different from zero at the .05 level. The statistical
significance is based upon robust standard errors corrected
for clustering of residuals by plan and the t-distribution.
TABLE 3
Determinants of Risk-Adjusted Returns Regressions, 1988-2008
(1) (2) (3)
All DC DB
Constant -0.435 -0.532 -0.122
(-25.53) (-28.16) (-3.19)
Union single employer 0.192 0.476 -0.0437
(3.68) (5.27) (-0.60)
Union multi-employer -0.219 -0.080 -0.566
Plan assets per capita in $10,000 (-3.86) (-0.95) (-1.37)
Participants in 10.000s
(Participants in 10,000s) (2)
Plan age
Employer offers other defined
benefit
Employer offers other defined
contribution
Year dummies included Yes Yes Yes
Industry dummies included Yes Yes Yes
Observations 538,565 377,139 161,426
p values for hypothesis tests:
Equal coefficients on union 0.000 0.000 0.000
single and union multi-employer
Equal coefficients on union -- 0.000
single-employer in DB and DC
Equal coefficients on union -- 0.000
multi-employer in DB and DC
[R.sup.2] 0.061 0.071 0.054
(4) (a) (5)
DC DB
Constant -0.508 -0.108
(-27.02) (-2.719)
Union single employer 0.142 -0.0360
(1.519) (-0.476)
Union multi-employer -0.357 -0.757
Plan assets per capita in $10,000 (-3.859) (-7.600)
0.00649 0.000841
(2.648) (0.195)
Participants in 10.000s 0.0405 0.00285
(6.609) (1.062)
(Participants in 10,000s) (2) -0.000191 -1.08e-06
Plan age (-5.859) (-0.114)
0.0354 0.0148
(21.47) (6.973)
Employer offers other defined 0.562 -0.112
benefit (12.33) (-1.649)
Employer offers other defined 0.338 0.00160
contribution (8.239) (0.0268)
Year dummies included Yes Yes
Industry dummies included Yes Yes
Observations 377.139 161,426
p values for hypothesis tests:
Equal coefficients on union 0.000 0.000
single and union multi-employer
Equal coefficients on union 0.138
single-employer in DB and DC
Equal coefficients on union 0.003
multi-employer in DB and DC
[R.sup.2] 0.086 0.056
Notes. The coefficients are from a regression of the estimated
alpha plus the residual from the FF equations as the dependent
variable. The r-statistics in parentheses are based upon robust
standard errors corrected for clustering of residuals by plan.
(a) Column (4) also includes controls for 401 (k) plan, profit
sharing plan, and other money purchase plan.
TABLE 4
Determinants of Risk-Adjusted Returns, by Participant
Direction Status, for DC Plans, 1990-2008
Participant- Trustee-
Directed Directed
Constant -0.328 -0.333
(-13.31) (-8.063)
Union single-employer 0.108 0.128
(1.060) (0.821)
Union multi-employer -0.118 -0.504
(-0.891) (-4.030)
Share of assets invested with
registered investment or insurance
companies
Share of assets invested in trusts
Sample size 262,731 95,210
[R.sup.2] 0.101 0.076
Participant- Trustee-
Directed Directed
Constant -0.354 -0.291
(-13.68) (-7.144)
Union single-employer 0.115 0.116
(1.122) (0.746)
Union multi-employer -0.107 -0.443
(-0.809) (-3.506)
Share of assets invested with 0.453 0.424
registered investment or insurance (5.920) (5.704)
companies
Share of assets invested in trusts 0.282 0.220
(3.579) (2.739)
Sample size 262,731 95,210
[R.sup.2] 0.101 0.077
Notes: Coefficients are from a regression of the estimated
alpha plus the residual from the FF equations as the dependent
variable. T-statistics are in parentheses and are based upon
robust standard errors corrected for clustering of residuals
by plan.
(a) The sample period is 1990-2008. Share of assets invested
in trusts is defined as the sum of assets in common/collective
trusts, pooled separate accounts, master trusts, and 103-12
investment entities divided by total assets. All models also
include controls for industry, year, plan assets per capita in
10,000s, participants (in 10,000s) and its square, plan age,
whether employer offers other defined contribution plan, whether
the employer offers other defined benefit plan, 401(k) plan,
profit sharing plan, and other money purchase plan.
TABLE 5
Union Effect on Risk-Adjusted Performance
with Alternative Specifications (a)
Single- Multi-
Employer Employer
Intercept Union Union
FF estimates excluding momentum factor, unweighted regressions
DB plans only 0.047 -0.093 -0.689
(1.82) (1.77) (8.80)
DC plans only -0.003 0.025 -0.809
(0.24) (0.44) (11.53)
Participant-directed DC plans only 0.184 0.066 -0.557
(11.02) (1.09) (6.11)
Trustee-directed DC plans only 0.012 -0.118 -0.866 (b)
(0.43) (1.19) (8.93)
FF estimates including momentum factor, value-weighted regressions
DB plans only 0.042 0.026 -1.082
(0.24) (0.43) (-2.69)
DC plans only -0.017 0.427 0.261
(-0.19) (1.04) (0.72)
Participant-directed DC plans only -0.070 0.708 0.578
(-0.58) (1.58) (1.21)
Trustee-directed DC plans only 0.253 -0.411 -0.563 (c)
(1.83) (-0.92) (1.35)
FF estimates excluding momentum factor, value weighted regressions
DB plans only 0.079 -0.099 -1.256
(4.52) (-0.22) (-2.95)
DC plans only 0.591 0.383 -0.805
(9.80) (1.27) (-3.14)
Participant-directed DC plans only 0.701 0.597 -0.929
(6.26) (1.80) (2.26)
Trustee-directed DC plans only 0.487 -0.513 -0.329 (d)
(5.08) (1.78) (-1.39)
Notes: Coefficients are from a regression of the estimated alpha
plus the residual from the FF equations as the dependent variable.
T-statistics (in parentheses) are based upon robust standard errors
corrected for clustering of residuals by plan. Weighted regressions
use value of plan assets as weights.
(a) The sample period is 1990-2008. All models include controls for
industry, year, per capita assets, number of plan participants and
its square, plan age, whether employer offers other defined
contribution plan or defined benefit plan, and dummies indicating
whether the plan is a 401 (k), profit sharing, or money purchase
plan.
(b) Coefficient is significantly different from that for
participant-directed plans at .05 level.
(c) Coefficient is significantly different from that for
participant-directed plans at .10 level.
(d) Coefficient is not significantly different from that for
participant-directed plans at .10 level.
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