Fredrik Heyman.
Empirical Studies on Wages, Firm Performance and Job Turnover.
(2002,
Area: Economics)
This
thesis consists of four self-contained studies in empirical labor
economics. Micro data on both employers and workers are used to analyze
the questions asked in the essays. By using disaggregated information,
issues related to firm and individual heterogeneity can be studied.
The first essay, The
Impact of Temporary Contracts on Gross Job and Worker Flows (with
Mahmood Arai), examines job and worker flow dynamics for temporary and
permanent contracts. The micro approach to job flows concerns changes in
employment at the plant or firm level. Data used in earlier research on
gross labor flows do not allow for a distinction between different types
of employment contracts (an exception is Abowd et
al. (1999). This distinction is especially important in Europe since
several European countries discriminate between permanent and temporary
contracts in their employment legislation.
The data contain quarterly information on the stock of permanent and
temporary contracts, as well as direct information on hires and
separations for permanent and temporary workers. The information is from
a representative sample of around 10,000 Swedish private establishments.
The results indicate that temporary contracts, covering only around 10
percent of all contracts, stand for half of all gross job (and worker)
flows. This means that gross job (and worker) flow rates for temporary
contracts are around 10 times larger than job (and worker) flows for
permanent contracts. Our results imply that job reallocation associated
with temporary contracts is acyclical in both manufacturing and
non-manufacturing sectors. For permanent contracts, job reallocation
only exhibits a countercyclical pattern in manufacturing, characterized
by a low fraction of temporary contracts. Services employing a higher
fraction of temporary contracts exhibit no cyclical pattern in job
reallocation, implying that establishments in services use temporary
contracts as an adjustment buffer and can adjust its labor input more
smoothly.
The share of temporary contracts varies with the industry structure and
changes as a result of sectoral shifts. This implies that cross-country
comparisons, as well as studies of the dynamics of job and worker flows,
based on aggregated time-series data, can be distorted by the impact of
the fraction of temporary labor on gross labor flows. This, in turn,
makes the distinction between permanent and temporary contracts crucial
in analyzing job and worker flows, especially when labor protection laws
discriminate between short-and long-term employment contracts.
The
second essay, Wage Dispersion and
Allocation of Jobs, investigates the relationship between job
turnover and the distribution of wages. One possible explanation for
similar labor reallocation rates across labor markets with very
different employment-protection legislations is related to differences
in wage setting institutions. Bertola and Rogerson (1997) argue that
although job-security laws lead to lower job flows, their impact might
be reduced if differences in wage-setting institutions have opposite
effects. Bertola and Rogerson’s conclusion is that when labor
protection laws and wages are jointly considered, the result might very
well be that job flows in countries with high adjustment costs and a
compressed wage structure mimic those in countries with low adjustment
costs and decentralized wages.
Using establishment data on job turnover and wages for a panel of around
10,000 establishments in the Swedish private sector, the relationship
between wage compression and job reallocation is studied at the industry
level.
Estimating industry fixed-effects models for 14 two-digit industries
yield results indicating large sector differences regarding the effect
of the degree of wage dispersion on job reallocation. In accordance with
the Bertola and Rogerson hypothesis, this effect is positive in the
manufacturing sector. Running separate regressions for job creation and
job destruction shows a negative and significant effect of wage
dispersion on job destruction, whereas it is insignificant in the
job-creation equation. These results are in accordance with wages being
more rigid downwards than upwards. The quantitative effect of the impact
of wage dispersion on job turnover is limited, however. A one standard
deviation increase in wage dispersion reduces the total job reallocation
by around 10 percent. Turning to the non-manufacturing sector, the
Bertola and Rogerson hypothesis is not supported.
Further results include (i) a strong positive effect of the
industry-share of temporary employees on job reallocation and (ii) a
negative relationship between the use of overtime and job turnover.
In the third essay, Wages, Profits
and Individual Unemployment Risk: Evidence from Matched Worker-Firm Data
(with Mahmood Arai), the impact of firm performance on individual wages
is studied. Several studies have found a positive and significant effect
of profits on wages. The most widely suggested interpretation for this
phenomenon is that employers and employees engage in rent-sharing,
thereby splitting the profits created between themselves.
The purpose of this study is to examine the extent of rent-sharing and
the impact of individual and aggregated unemployment risk on wages of
individual workers. We use a sample of over 170,000 Swedish employees
for 1991 and 1995 matched with their employing firm’s profits and the
unemployment registers. The matched data contain detailed information on
individual characteristics, including their unemployment experience
during 1992-1995 as well as annual profits as reported in the firms’
balance-sheet reports.
The
contribution of this paper is that it provides evidence on the wage
determination, based on disaggregated individual and firm data dealing
with the problems of firm and worker heterogeneity, and the endogeneity
of profits. Our results imply positive effects of profits on wages, both
in 1991 and 1995. The reported elasticities imply that the wage
inequality in Sweden due to the spread in profits is as high as 13% of
the mean wages in 1991, according to Lester’s range of pay. These
correlations are robust for controlling for time-invariant unobserved
individual- and firm characteristics.
Using firm-reported short-term
product market elasticity and the number of competitors as instruments
for profits suggest Lester’s measure of wage inequality due to profits
to be as high as 50% of the mean wages.
Finally, we investigate the impact of individual heterogeneity with
respect to unemployment risk that might also affect wages. We include
the individuals’ unemployment event record in our regressions, and our
results confirm that individuals with a higher unemployment risk also
have lower wages. Including aggregated measures along with individual
unemployment risk in our estimations show results suggesting that there
exists a robust negative correlation between unemployment risk and wages
at various aggregation levels.
The final essay, Pay Inequality
and Firm Performance: Evidence from Matched Employer-Employee Data,
tests several implications from tournament models on the same matched
employer-employee data set as in essay 3.
According to a variety of
theories, the wage distribution both within and between firms can have
important effects on individual productivity and firm performance. One
argument for high wage differentials, based on incentive effects, is
found in Lazear and Rosen’s (1981) tournament theory. Higher wage
differentials lead to higher individual effort, and are therefore
productivity enhancing. This, in turn, suggests that there is a positive
relationship between wage dispersion and productivity. The opposite
relationship is found in theories stressing fairness and cooperation
between co-workers.
For
white-collar workers, the results show a positive effect of intra-firm
pay spread on firm performance for 1991 and 1995. This applies to
different measures of wage dispersion, capturing both raw differences
and differences corrected for the fact that part of the wage spread is
due to differences in human capital accumulation. To take firm
heterogeneity into account, difference equations are estimated on a
panel of firms. Once more, consistent with tournament theory, a positive
and significant effect of wage dispersion on profits is found.
The results for managers are
based on information on about 10,000 managers. For various measures of
wage dispersion and specifications, a positive and significant
association between managerial pay and profits is found.
No support is found
for the hypothesis of a positive relationship between the number of
managers (contestants) and wage spread. Instead, the results show a
negative and significant effect of the number of executives and pay
spread among managers.
Finally, consistent with
tournament theory, higher wage dispersion is found in firms operating in
volatile product markets characterized by a high degree of output
uncertainty.
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