Using confidential administrative data from the U.S. Census Bureau we revisit how the rise in Chinese import penetration has reshaped U.S. local labor markets. Local labor markets more exposed to the China shock experienced larger reallocation from manufacturing to services jobs. Most of this reallocation occurred within firms that simultaneously contracted manufacturing operations while expanding employment in services. Notably, about 40% of the manufacturing job loss effect is due to continuing establishments switching their primary activity from manufacturing to trade-related services such as research, management, and wholesale. The effects of Chinese import penetration vary by local labor market characteristics. In areas with high human capital, including much of the West Coast and large cities, job reallocation from manufacturing to services has been substantial. In areas with low human capital and a high initial manufacturing share, including much of the Midwest and the South, we find limited job reallocation. We estimate this differential response to the China shock accounts for half of the 1997-2007 job growth gap between these regions.
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Places versus People: The Ins and Outs of Labor Market Adjustment to Globalization
December 2024
Working Paper Number:
CES-24-78
We analyze the distinct adjustment paths of U.S. labor markets (places) and U.S. workers (people) to increased Chinese import competition during the 2000s. Using comprehensive register data for 2000'2019, we document that employment levels more than fully rebound in trade-exposed places after 2010, while employment-to-population ratios remain depressed and manufacturing employment further atrophies. The adjustment of places to trade shocks is generational: affected areas recover primarily by adding workers to non-manufacturing who were below working age when the shock occurred. Entrants are disproportionately native-born Hispanics, foreign-born immigrants, women, and the college-educated, who find employment in relatively low-wage service sectors like medical services, education, retail, and hospitality. Using the panel structure of the employer-employee data, we decompose changes in the employment composition of places into trade-induced shifts in the gross flows of people across sectors, locations, and non-employment status. Contrary to standard models, trade shocks reduce geographic mobility, with both in- and out-migration remaining depressed through 2019. The employment recovery instead stems almost entirely from young adults and foreign-born immigrants taking their first U.S. jobs in affected areas, with minimal contributions from cross-sector transitions of former manufacturing workers. Although worker inflows into non-manufacturing more than fully offset manufacturing employment losses in trade-exposed locations after 2010, incumbent workers neither fully recover earnings losses nor predominately exit the labor market, but rather age in place as communities undergo rapid demographic and industrial transitions.
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Local and National Concentration Trends in Jobs and Sales: The Role of Structural Transformation
November 2023
Working Paper Number:
CES-23-59
National U.S. industrial concentration rose between 1992-2017. Simultaneously, the Herfindhahl Index of local (six-digit-NAICS by county) employment concentration fell. This divergence between national and local employment concentration is due to structural transformation. Both sales and employment concentration rose within industry-by-county cells. But activity shifted from concentrated Manufacturing towards relatively un-concentrated Services. A stronger between-sector shift in employment relative to sales explains the fall in local employment concentration. Had sectoral employment shares remained at their 1992 levels, average local employment concentration would have risen by 9% by 2017 rather than falling by 7%.
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Establishment and Employment Dynamics in Appalachia: Evidence from the Longitudinal Business Database
December 2003
Working Paper Number:
CES-03-19
One indicator of the general economic health of a region is the rate at which new jobs are created. The newly developed Longitudinal Business Database has been used in this paper to develop a detailed portrait of establishment formation and attrition and job creation and destruction in the Appalachian Region. The foremost finding is that the pace of reallocation in Appalachia is lower than it is for the U.S.. This is evident in Appalachia's relatively lower establishment birth and death rates and job creation and destruction rates. For example, on average over the study time period, the U.S. job creation rate exceeds 45 percent, while the Appalachian job creation rate is 43 percent. Similarly, the U.S. job destruction rate is about 35 percent, while the Appalachian job destruction rate is about 33 percent. Even when controlling for other differences, job creation rates are 1.2 percentage points lower and job destruction rates are 3.4 percentage points lower in Appalachia relative to the rest of the U.S. Another indicator of the general economic health of a region is the quality of its jobs. The quality of jobs is measured in this paper by the average wage paid at the establishment. Here too there is cause for concern about the economic health of Appalachia. The analysis shows that wages are about 10 percent lower in Appalachia than in the U.S. even when controlling for differences in other characteristics across the two areas. This wage discrepancy has not narrowed over the time of the study. Moreover, new establishments have a similar wage gap. Employees at new establishments earn wages 10 percent less than at new establishments in the rest of the U.S.
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Reallocation and Productivity Dynamics in the Appalachian Region
January 2006
Working Paper Number:
CES-06-03
The Appalachian Region has long suffered from poor economic performance as measured over a variety of dimensions. Even as the region has improved over the last few decades, Appalachia still lags behind the nation. A growing body of empirical work has found that reallocation is pervasive in the U.S. economy and is an integral component of economic growth. Productivity growth is improved when resources are shifted from less productive establishments towards more productive establishments either through changes in existing establishments or through the births and deaths of establishments. Establishments that use new products, technologies, and production processes replace establishments that do not in a continual process of creative destruction. Using establishment-level data, this paper examines the reallocation and productivity dynamics of the Appalachian Region. The first part of the paper compares the reallocation dynamics of Appalachia to the rest of the U.S. using a newly developed establishment-level database that covers virtually the entire U.S. economy. From this analysis, it is apparent that establishment birth and death rates and job creation and destruction rates for Appalachia are consistently below those for the rest of the U.S.. The second part of the paper uses data from the Economic Censuses to determine whether the establishment and employment dynamics of the Appalachian Region are also qualitatively different (in terms of their productivity rankings) from their U.S. counterparts. It appears that the North subregion of Appalachia has reallocation and productivity dynamics that are consistent with an impeded creative destruction story.
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Location, Location, Location
October 2021
Working Paper Number:
CES-21-32R
We use data from the Longitudinal Employer-Household Dynamics program to study the causal effects of location on earnings. Starting from a model with employer and employee fixed effects, we estimate the average earnings premiums associated with jobs in different commuting zones (CZs) and different CZ-industry pairs. About half of the variation in mean wages across CZs is attributable to differences in worker ability (as measured by their fixed effects); the other half is attributable to place effects. We show that the place effects from a richly specified cross sectional wage model overstate the causal effects of place (due to unobserved worker ability), while those from a model that simply adds person fixed effects understate the causal effects (due to unobserved heterogeneity in the premiums paid by different firms in the same CZ). Local industry agglomerations are associated with higher wages, but overall differences in industry composition and in CZ-specific returns to industries explain only a small fraction of average place effects. Estimating separate place effects for college and non-college workers, we find that the college wage gap is bigger in larger and higher-wage places, but that two-thirds of this variation is attributable to differences in the relative skills of the two groups in different places. Most of the remaining variation reflects the enhanced sorting of more educated workers to higher-paying industries in larger and higher-wage CZs. Finally, we find that local housing costs at least fully offset local pay premiums, implying that workers who move to larger CZs have no higher net-of-housing consumption.
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U.S. Worker Mobility Across Establishments within Firms: Scope, Prevalence, and Effects on Worker Earnings
May 2024
Working Paper Number:
CES-24-24
Multi-establishment firms account for around 60% of U.S. workers' primary employers, providing ample opportunity for workers to change their work location without changing their employer. Using U.S. matched employer-employee data, this paper analyzes workers' access to and use of such between-establishment job transitions, and estimates the effect on workers' earnings growth of greater access, as measured by proximity of employment at other within-firm establishments. While establishment transitions are not perfectly observed, we estimate that within-firm establishment transitions account for 7.8% percent of all job transitions and 18.2% of transitions originating from the largest firms. Using variation in worker's establishment locations within their firms' establishment network, we show that having a greater share of the firm's jobs in nearby establishments generates meaningful increases in workers' earnings: a worker at the 90th percentile of earnings gains from more proximate within-firm job opportunities can expect to enjoy 2% higher average earnings over the following five years than a worker at the 10th percentile with the same baseline earnings.
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Job Flow Dynamics in the Service Sector
November 1999
Working Paper Number:
CES-99-14
This paper uses the new comprehensive Longitudinal Establishment and Enterprise Microdata at CES to investigate gross and net job flows for 1990 to 1995 for all establishments in the service sector. After examining the recent shifts in the distribution of employment in non-financial services, from single unit firms to multi-unit firms, and from smaller firms to larger ones, we calculate five year gross and net job flow rates for these various types of establishments. This shows that the increasing share of service employment in large firms is not due to higher growth in larger firms. Seeking the dynamics behind the shift of employment to larger firms, we investigate how job flow rates are related to firm and establishment size, using alternative size classification methods. Gross job flow rates vary inversely with the age of establishments in services, as do net growth rates of surviving establishments, even after controlling for size. To help distinguish among the effects of age, firm size, and establishment size on gross and net job flows in services, multivariate regression analysis is used. We find that all gross job flow rates decline with increasing age of establishments when size and industry differences are controlled. Because the job destruction rate falls faster than the creation rate as age increases, net growth rates increase with age for services as a whole. Gross and net job creation also declines with increasing size of establishments, but destruction rates increase with size when controlling for age and industry differences. Firm size differences contribute little or nothing additional when we control for establishment size and age.
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Private Equity and Employment
March 2008
Working Paper Number:
CES-08-07R
Private equity critics claim that leveraged buyouts bring huge job losses. To investigate this claim, we construct and analyze a new dataset that covers U.S. private equity transactions from 1980 to 2005. We track 3,200 target firms and their 150,000 establishments before and after acquisition, comparing outcomes to controls similar in terms of industry, size, age, and prior growth. Relative to controls, employment at target establishments declines 3 percent over two years post buyout and 6 percent over five years. The job losses are concentrated among public-to-private buyouts, and transactions involving firms in the service and retail sectors. But target firms also create more new jobs at new establishments, and they acquire and divest establishments more rapidly. When we consider these additional adjustment margins, net relative job losses at target firms are less than 1 percent of initial employment. In contrast, the sum of gross job creation and destruction at target firms exceeds that of controls by 13 percent of employment over two years. In short, private equity buyouts catalyze the creative destruction process in the labor market, with only a modest net impact on employment. The creative destruction response mainly involves a more rapid reallocation of jobs across establishments within target firms.
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The Rural-Urban Gap In Manufacturing Productivity And Wages: Effects Of Industry Mix And Region
June 1997
Working Paper Number:
CES-97-06
This study analyzes urban and rural values of value added per worker and production worker wages tabulated from unpublished 1992 Census of Manufactures data. A decomposition of regional averages separates out effects of regional industry mix from within-industry differentials over a rural-urban continuum and for metro and nonmetro portions of census regions. Comparison of actual 1991-1993 employment growth with regional wage and productivity differentials shows that low wages are strongly associated with job growth.
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MEASURES OF JOB FLOW DYNAMICS IN THE U.S.*
January 1999
Working Paper Number:
CES-99-01
This paper uses the new Longitudinal Establishment and Enterprise Microdata (LEEM) at CES to investigate gross and net job flows for the U. S. economy. Much of the previous work on U.S. job flows has been based on analysis of the Longitudinal Research Database (LRD), which is limited to establishments in the manufacturing sector. The LEEM is the first high-quality, nationwide, comprehensive database for both manufacturing and non-manufacturing that is suitable for measuring annual job flows. We utilize the LEEM data to measure recent gross and net job flows for the entire U. S. economy. We then examine the relationships between firm size, establishment size, and establishment age, and investigate differences resulting from use of two alternative methods for classification of job flows by size of firm and establishment. Cell-based regression analysis is used to help distinguish among the effects of age, firm size, and establishment size on gross and net job flows in existing establishments. We find that gross job flow rates decline with age, and with increasing establishment size when controlling for age differences, whether initial size or mean size classification is utilized. Firm size differences contribute little or nothing additional when establishment size and age are controlled for. However, the relationship of net job growth to business size is very sensitive to the size classification method, even when data and all other methodology are identical. When mean size classification is used, the coefficient on establishment size for net job growth is generally positive, but when initial size is used, this coefficient is negative. These results shed light on some of the apparently conflicting findings in the literature on the relationship between net growth and the size of businesses.
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