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Spatial Mismatch or Racial Mismatch?
June 2007
Working Paper Number:
CES-07-16
We contrast the spatial mismatch hypothesis with what we term the racial mismatch hypothesis - that the problem is not a lack of jobs, per se, where blacks live, but a lack of jobs into which blacks are hired, whether because of discrimination or labor market networks in which race matters. We first report new evidence on the spatial mismatch hypothesis, using data from Census Long-Form respondents. We construct direct measures of the presence of jobs in detailed geographic areas, and find that these job density measures are related to employment of black male residents in ways that would be predicted by the spatial mismatch hypothesis - in particular that spatial mismatch is primarily an issue for low-skilled black male workers. We then look at racial mismatch, by estimating the effects of job density measures that are disaggregated by race. We find that it is primarily black job density that influences black male employment, whereas white job density has little if any influence on their employment. This evidence implies that space alone plays a relatively minor role in low black male employment rates.
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Social, Economic, Spatial, and Commuting Patterns of Informal Jobholders
April 2007
Working Paper Number:
tp-2007-02
A significant number of employees within the United States can be considered "informal" or
"off-the-books" workers. These workers, who by definition do not appear in administrative wage
records, are distinct from the larger group of private jobholders who do appear in administrative
records. However, while socioeconomic and spatial information on these individuals is readily
available in standard datasets, such as the 2000 Decennial Census Long Form, it is not possible
to identify the informal workers by only using such data because of the lack of accurate, formal
wage records. This study takes advantage of firm-based data that originates in Unemployment
Insurance administrative wage records linked with the Census Bureau's household-based data in
order to examine informal jobholders by their demographic characteristics as well as their
economic, commuting, and spatial location outcomes. In addition this report evaluates whether
informal jobholders should be included explicitly in future labor-workforce analyses and
transportation modeling. The analyses in this report use the sample of workers who lived in Los
Angeles County, California.
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Social, Economic, Spatial, and Commuting Patterns of Dual Jobholders
April 2007
Working Paper Number:
tp-2007-01
Individuals who hold multiple jobs have complex working lives and complex commuting
patterns. Economic and spatial information on these individuals is not readily available in
standard datasets, such as the 2000 Decennial Census Long Form, because the survey questions
were not designed to collect details on multiple jobs. This study takes advantage of firm-based
data from the Unemployment Insurance administrative wage records, linked with the Census
Bureau's household-based data, to examine multiple jobholders - and specifically a sentinel
group of dual jobholders. The study uses a sample from Los Angeles County, California and
examines the dual jobholders by their demographic characteristics as well as their economic,
commuting, and spatial location outcomes. In addition this report evaluates whether multiple
jobholders should be included explicitly in future labor-workforce analyses and transportation
modeling.
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Impacts of Trade on Wage Inequality in Los Angeles: Analysis Using Matched Employer-Employee Data
April 2006
Working Paper Number:
CES-06-12
Over the past twenty-five years, earnings inequality has risen dramatically in the US, reversing trends of the preceding half-century. Growing inequality is closely tied to globalization and trade through the arguments of Heckscher-Ohlin. However, with only few exceptions, empirical studies fail to show that trade is the primary determinant of shifts in relative wages. We argue that lack of empirical support for the trade-inequality connection results from the use of poor proxies for worker skill and the failure to control for other worker characteristics and plant characteristics that impact wages. We remedy these problems by developing a matched employer-employee database linking the Decennial Household Census (individual worker records) and the Longitudinal Research Database (individual manufacturing establishment records) for the Los Angeles CMSA in 1990 and 2000. Our results show that trade has a significant impact on wage inequality, pushing down the wages of the less-skilled while allowing more highly skilled workers to benefit from exports. That impact has increased through the 1990s, swamping the influence of skill-biased technical change in 2000. Further, the negative effect of trade on the wages of the less-skilled has moved up the skill distribution over time. This suggests that over the long-run, increasing levels of education may not insulate more skilled workers within developed economies from the impacts of trade.
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Soft and Hard Within- and Between-Industry Changes of U.S. Skill Intensity: Shedding Light on Worker's Inequality
January 2006
Working Paper Number:
CES-06-01
In order to examine the worsening of inequality between workers of different skill levels over the past three decades and to further motivate the theoretical discussion on this issue, we use the decomposition methodology to focus on the interaction of within- and between-industry changes of the relative skill intensity in U.S. manufacturing. Unlike previous work, we use more detailed levels of industry classification (5-digit SIC product codes), and we analyze the impact of plants switching industries as well as of plant births and deaths on these changes. Internal, plant-level data from the U.S. Census Bureau's Longitudinal Research Database and the new Longitudinal Business Database provide us with the requisite information to conduct these studies. Finally, our empirical conclusions are discussed in relation to the inspired theoretical inference, as they enrich the debate concerning the sources of the inequality by justifying the skill-biased character of technical change.
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The Long-Term Effects of Job Mobility on the Adult Earnings of Young Men: Evidence from Integrated Employer-Employee Data
June 2005
Working Paper Number:
CES-05-05
The paper follows a population of 18-year-old men to examine the impact that early job mobility has on their earnings prospects as young adults. Longitudinal employer-employee data from the state of Maryland allow me to take into consideration the endogenous determination of mobility in response to unobserved worker as well as firm characteristics, which may lead to spurious results. The descriptive portion of the paper shows that mobility patterns of young workers differ considerably with the characteristics of the firm; however, growth patterns are not significantly different on average. Workers employed in high-turnover firms (such as those in retail and services) experience more job turnover but similar rates of wage growth compared to workers employed in low turnover firms (such as those in manufacturing); however, their wage levels remain below and the wage gap actually increases over time. Regression results controlling for unobservable show that employers in the low-turnover sector discount earnings of workers who displayed early market mobility. By contrast, I find no evidence that mobility has negative effects for workers that remain employed in the high turnover sector.
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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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Integrated Longitudinal Employee-Employer Data for the United States
May 2004
Working Paper Number:
tp-2004-02
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Worker Advancement in the Low-Wage Labor Market: The Importance of Good Jobs
July 2003
Working Paper Number:
tp-2003-08
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Agent Heterogeneity and Learning: An Application to Labor Markets
October 2002
Working Paper Number:
tp-2002-20
I develop a matching model with heterogeneous workers, rms, and worker-firm
matches, and apply it to longitudinal linked data on employers and employees. Workers
vary in their marginal product when employed and their value of leisure when unemployed.
Firms vary in their marginal product and cost of maintaining a vacancy. The
marginal product of a worker-firm match also depends on a match-specific interaction
between worker and rm that I call match quality. Agents have complete information
about worker and rm heterogeneity, and symmetric but incomplete information about
match quality. They learn its value slowly by observing production outcomes. There
are two key results. First, under a Nash bargain, the equilibrium wage is linear in a
person-specific component, a firm-specific component, and the posterior mean of beliefs
about match quality. Second, in each period the separation decision depends only on
the posterior mean of beliefs and person and rm characteristics. These results have
several implications for an empirical model of earnings with person and rm eects.
The rst implies that residuals within a worker-firm match are a martingale; the second
implies the distribution of earnings is truncated.
I test predictions from the matching model using data from the Longitudinal
Employer-Household Dynamics (LEHD) Program at the US Census Bureau. I present
both xed and mixed model specifications of the equilibrium wage function, taking
account of structural aspects implied by the learning process. In the most general
specification, earnings residuals have a completely unstructured covariance within a
worker-firm match. I estimate and test a variety of more parsimonious error structures,
including the martingale structure implied by the learning process. I nd considerable
support for the matching model in these data.
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