This paper uses matched employer-employee data from the U.S. Census Bureau to investigate the contribution of worker and firm reallocation to changes in wage inequality within and across industries between 1992 and 2003. We find that the entry and exit of firms and the sorting of workers and firms based on underlying worker skills are important sources of changes in earnings distributions over time. Our results suggest that the underlying dynamics driving changes in earnings inequality are complex and are due to factors that cannot be measured in standard cross-sectional data.
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The Dynamics of Worker Reallocation Within and Across Industries
June 2005
Working Paper Number:
tp-2005-02
This paper uses an integrated employer-employee data set to answer two key questions:
1. What is the "equilibrium" amount of worker reallocation in the economy - both within and across industries?
2. How much does firm-level job reallocation affect the separation probabilities of workers?
Consistent with other work, we find that there is a great deal of reallocation in the economy,
although this varies substantially across demographic group. Much worker reallocation is
within the economy, roughly evenly split between within and across broadly defined
industries. An important new finding is that much of this reallocation is confined to a
relatively small subset of workers that is shuffled across jobs - both within and across
industries - in the economy. However, we also find that even for the most stable group of
workers, firm level job reallocation substantially increases the probability of transition for
even the most stable group of workers. Finally, workers who are employed in industries that
provide low returns to tenure are much more likely to reallocate both within and across
industries.
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Between Firm Changes in Earnings Inequality: The Dominant Role of Industry Effects
February 2020
Working Paper Number:
CES-20-08
We find that most of the rising between firm earnings inequality that dominates the overall increase in inequality in the U.S. is accounted for by industry effects. These industry effects stem from rising inter-industry earnings differentials and not from changing distribution of employment across industries. We also find the rising inter-industry earnings differentials are almost completely accounted for by occupation effects. These results link together the key findings from separate components of the recent literature: one focuses on firm effects and the other on occupation effects. The link via industry effects challenges conventional wisdom.
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The Measurement of Human Capital in the U.S. Economy
April 2002
Working Paper Number:
tp-2002-09
We develop a new approach to measuring human capital that permits the distinction of both observable
and unobservable dimensions of skill by associating human capital with the portable part
of an individual's wage rate. Using new large-scale, integrated employer-employee data containing
information on 68 million individuals and 3.6 million firms, we explain a very large proportion
(84%) of the total variation in wages rates and attribute substantial variation to both individual
and employer heterogeneity. While the wage distribution remained largely unchanged between
1992-1997, we document a pronounced right shift in the overall distribution of human capital.
Most workers entering our sample, while less experienced, were otherwise more highly skilled, a
difference which can be attributed almost exclusively to unobservables. Nevertheless, compared
to exiters and continuers, entrants exhibited a greater tendency to match to firms paying below
average internal wages. Firms reduced employment shares of low skilled workers and increased
employment shares of high skilled workers in virtually every industry. Our results strongly suggest
that the distribution of human capital will continue to shift to the right, implying a continuing
up-skilling of the employed labor force.
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The Shifting Job Tenure Distribution
January 2016
Working Paper Number:
CES-16-12R
There has been a shift in the U.S. job tenure distribution toward longer-duration jobs since 2000. This change is apparent both in the tenure supplements to the Current Population Survey and in matched employer-employee data. A substantial portion of this shift can be accounted for by the ageing of the workforce and the decline in the entry rate of new employer businesses. This shift is accounted for more by declines in the hiring rate, which are concentrated in the labor market downturns associated with the 2001 and 2007-2009 recessions, rather than declines in separation rates. The increase in average real earnings since 2007 is less than what would be predicted by the shift toward longer-tenure jobs because of declines in tenure-held-constant real earnings. Regression estimates of the returns to job tenure provide no evidence that the shift in the job tenure distribution is being driven by better matches between workers and employers.
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Using Worker Flows in the Analysis of the Firm
August 2003
Working Paper Number:
tp-2003-09
This paper uses a novel approach to measure firm entry and exit, mergers and
acquisition. It uses information about the flows of clusters of workers across business
units to identify longitudinal linkage relationships in longitudinal business data. These
longitudinal relationships may be the result of either administrative or economic changes
and we explore both types of newly identified longitudinal relationships. In particular,
we develop a set of criteria based on worker flows to identify changes in firm
relationships ? such as mergers and acquisitions, administrative identifier changes and
outsourcing. We demonstrate how this new data infrastructure and this cluster flow
methodology can be used to better differentiate true firm entry/exit and simple changes in
administrative identifiers. We explore the role of outsourcing in a variety of ways but in
particular the outsourcing of workers to the temporary help industry. While the primary
focus is on developing the data infrastructure and the methodology to identify and
interpret these clustered flows of workers, we conclude the paper with an analysis of the
impact of these changes on the earnings of workers.
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The interactions of workers and firms in the low-wage labor market
August 2002
Working Paper Number:
tp-2002-12
This paper presents an analysis of workers who persistently have low earnings in
the labor market over a period of three or more years. Some of these workers manage to
escape from this low-earning status over subsequent years, while many do not. Using
data from the Longitudinal Employer Household Dynamics (LEHD) project at the U.S.
Census Bureau, we analyze the characteristics of persons and especially of their firms and
jobs that enable some to improve their earnings status over time.
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The Relation among Human Capital, Productivity and Market Value: Building Up from Micro Evidence
December 2002
Working Paper Number:
tp-2002-14
This paper investigates and evaluates the direct and indirect contribution of human capital
to business productivity and shareholder value. The impact of human capital may occur in two ways:
the specific knowledge of workers at businesses may directly increase business
performance, or a skilled workforce may also indirectly act as a complement to improved
technologies, business models or organizational practices. We use newly created firm-level
measures of workforce human capital and productivity to examine links between those measures
and the market value of the employing firm. The new human capital measures come from an
integrated employer-employee data base under development at the US Census Bureau. We link
these data to financial information from Compustat at the firm level, which provides measures of
market value and tangible assets. The combination of these two sources permits examination of
the link between human capital, productivity, and market value. There is a substantial positive
relation between human capital and market value that is primarily related to the unmeasured
personal characteristics of the employees, which are captured by the new measures.
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U.S. Long-Term Earnings Outcomes by Sex, Race, Ethnicity, and Place of Birth
May 2021
Working Paper Number:
CES-21-07R
This paper is part of the Global Income Dynamics Project cross-country comparison of earnings inequality, volatility, and mobility. Using data from the U.S. Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) infrastructure files we produce a uniform set of earnings statistics for the U.S. From 1998 to 2019, we find U.S. earnings inequality has increased and volatility has decreased. The combination of increased inequality and reduced volatility suggest earnings growth differs substantially across different demographic groups. We explore this further by estimating 12-year average earnings for a single cohort of age 25-54 eligible workers. Differences in labor supply (hours paid and quarters worked) are found to explain almost 90% of the variation in worker earnings, although even after controlling for labor supply substantial earnings differences across demographic groups remain unexplained. Using a quantile regression approach, we estimate counterfactual earnings distributions for each demographic group. We find that at the bottom of the earnings distribution differences in characteristics such as hours paid, geographic division, industry, and education explain almost all the earnings gap, however above the median the contribution of the differences in the returns to characteristics becomes the dominant component.
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Employer-Provided Benefit Plans, Workforce Composition and Firm Outcomes
January 2005
Working Paper Number:
tp-2005-01
What do firms gain by offering benefits? Economists have proposed two payoffs: (i) benefits
may be a more cost-effective form of compensation than wages for employees facing high
marginal tax rates, and (ii) benefits may attract a more stable, skilled workforce. Both should
improve firm outcomes, but we have little evidence on this matter. This paper exploits a rich
new dataset to examine how firm productivity and survival are related to benefit offering, and
finds that benefit-offering firms have higher productivity and higher survival rates. Differences
in firm and workforce characteristics explain some but not all of the differences in outcomes.
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Job-to-Job Flows and the Business Cycle
March 2012
Working Paper Number:
CES-12-04
Job-to-job flows represent one of the most significant opportunities for the development of new economic statistics, having been made possible by the increased availability of matched employer-employee datasets for statistical tabulation. In this paper, we analyze a new database of job-to-job flows from 1999 to 2010 in the United States. This analysis provides definitive benchmarks on gross employment flows, origin and destination industries, nonemployment, and associated earnings. To demonstrate the usefulness of these statistics, we evaluate them in the context of the recessions of 2001 and 2007, as well as the economic expansion between the two. We find a sharp drop in job mobility in the Great Recession, much sharper than the previous recession, and higher earnings penalties for job transitions with an intervening nonemployment spell. This fall in job mobility is found within all age groups but is largest among younger workers. We also examine outcomes for displaced workers and examine labor market adjustment in several specific industries. Generally, we find higher rates of nonemployment upon job separation, increasing rates of industry change and higher earnings penalties from job change in the Great Recession.
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