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Aggregation Bias in the Measurement of U.S. Global Value Chains
September 2024
Working Paper Number:
CES-24-49
This paper measures global value chain (GVC) activity, defined as imported content of exports, of U.S. manufacturing plants between 2002 and 2012. We assesses the extent of aggregation bias that arises from relying on industry-level exports, imports, and output to establish three results. First, GVC activity based on industry-level data underestimate the actual degree of GVC engagement by ignoring potential correlations between import and export activities across plants within industries. Second, the bias grew over the sample period. Finally, unlike with industry-level measures, we find little slowdown in GVC integration by U.S. manufacturers.
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High-Growth Firms in the United States: Key Trends and New Data Opportunities
March 2024
Working Paper Number:
CES-24-11
Using administrative data from the U.S. Census Bureau, we introduce a new public-use database that tracks activities across firm growth distributions over time and by firm and establishment characteristics. With these new data, we uncover several key trends on high-growth firms'critical engines of innovation and economic growth. First, the share of firms that are high-growth has steadily decreased over the past four decades, driven not only by falling firm entry rates but also languishing growth among existing firms. Second, this decline is particularly pronounced among young and small firms, while the share of high-growth firms has been relatively stable among large and old firms. Third, the decline in high-growth firms is found in all sectors, but the information sector has shown a modest rebound beginning in 2010. Fourth, there is significant variation in high-growth firm activity across states, with California, Texas, and Florida having high shares of high-growth firms. We highlight several areas for future research enabled by these new data.
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Granular Income Inequality and Mobility using IDDA: Exploring Patterns across Race and Ethnicity
November 2023
Working Paper Number:
CES-23-55
Shifting earnings inequality among U.S. workers over the last five decades has been widely stud ied, but understanding how these shifts evolve across smaller groups has been difficult. Publicly available data sources typically only ensure representative data at high levels of aggregation, so they obscure many details of earnings distributions for smaller populations. We define and construct a set of granular statistics describing income distributions, income mobility and con ditional income growth for a large number of subnational groups in the U.S. for a two-decade period (1998-2019). In this paper, we use the resulting data to explore the evolution of income inequality and mobility for detailed groups defined by race and ethnicity. We find that patterns identified from the universe of tax filers and W-2 recipients that we observe differ in important ways from those that one might identify in public sources. The full set of statistics that we construct is available publicly as the Income Distributions and Dynamics in America, or IDDA, data set.
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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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How Collateral Affects Small Business Lending: The Role of Lender Specialization
August 2021
Working Paper Number:
CES-21-22
I study the role of collateral on small business credit access in the aftermath of the 2008 financial crisis. I construct a novel, loan-level dataset covering all collateralized small business lending in Texas from 2002-2016 and link it to the U.S. Census of Establishments. Using textual analysis, I show that post-2008, lenders reduced credit supply to borrowers outside of the lender's collateral specialization. This result holds when comparing lending to the same borrower from different lenders, and when comparing lending by the same lender to different borrowers. A one standard deviation higher specialization in collateral increases lending to the same firm by 3.7%. Abstracting from general equilibrium effects, if firms switched to lenders with the highest specialization in their collateral, aggregate lending would increase by 14.8%. Furthermore, firms borrowing from lenders with greater specialization in the borrower's collateral see a larger growth in employment after 2008. Finally, I show that firms with collateral more frequently accepted by lenders in the economy find it easier to switch lenders. In sum, my paper shows that borrowing from specialized lenders increases access to credit and employment during a financial crisis.
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Heavy Tailed, but not Zipf: Firm and Establishment Size in the U.S.
July 2021
Working Paper Number:
CES-21-15
Heavy tails play an important role in modern macroeconomics and international economics.
Previous work often assumes a Pareto distribution for firm size, typically with a shape parameter approaching Zipf's law. This convenient approximation has dramatic consequences for the importance of large firms in the economy. But we show that a lognormal distribution, or better yet, a convolution of a lognormal and a non-Zipf Pareto distribution, provides a better description of the U.S. economy, using confidential Census Bureau data. These findings hold even far in the upper tail and suggest heterogeneous firm models should more systematically explore deviations from Zipf's law.
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Female Executives and the Motherhood Penalty
January 2021
Working Paper Number:
CES-21-03
Childbirth and subsequent breaks from the labor market are a primary reason why the average earnings of women is lower than that of men. This paper uses linked survey and administrative data from the United States to investigate whether the sex composition of executives at the firm, defined as the top earners, affects the earnings and employment outcomes of new mothers. We begin by documenting that (i) the male-female earnings gap is smaller in industries in which a larger share of executives are women, and (ii) the male-female earnings gap has declined more in industries that have experienced larger increases in the share of executives who are female. Despite these cross-sectional and longitudinal correlations, we find no evidence that the sex composition of the executives at the firm has a causal effect on the childbirth and motherhood penalties that impact women's earnings and employment.
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Business-Level Expectations and Uncertainty
December 2020
Working Paper Number:
CES-20-41
The Census Bureau's 2015 Management and Organizational Practices Survey (MOPS) utilized innovative methodology to collect five-point forecast distributions over own future shipments, employment, and capital and materials expenditures for 35,000 U.S. manufacturing plants. First and second moments of these plant-level forecast distributions covary strongly with first and second moments, respectively, of historical outcomes. The first moment of the distribution provides a measure of business' expectations for future outcomes, while the second moment provides a measure of business' subjective uncertainty over those outcomes. This subjective uncertainty measure correlates positively with financial risk measures. Drawing on the Annual Survey of Manufactures and the Census of Manufactures for the corresponding realizations, we find that subjective expectations are highly predictive of actual outcomes and, in fact, more predictive than statistical models fit to historical data. When respondents express greater subjective uncertainty about future outcomes at their plants, their forecasts are less accurate. However, managers supply overly precise forecast distributions in that implied confidence intervals for sales growth rates are much narrower than the distribution of actual outcomes. Finally, we develop evidence that greater use of predictive computing and structured management practices at the plant and a more decentralized decision-making process (across plants in the same firm) are associated with better forecast accuracy.
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Firm Leverage, Labor Market Size, and Employee Pay
August 2018
Working Paper Number:
CES-18-36
We provide new estimates of the wage costs of firms' debt using an empirical approach that exploits within-firm geographical variation in workers' expected unemployment costs due to variation in local labor market in a large sample of public firms. We find that, following an increase in firm leverage, workers with higher unemployment costs experience higher wage growth relative to workers at the same firm with lower unemployment costs. Overall, our estimates suggest wage costs are an important component in the overall cost of debt, but are not as large as implied by estimates based on ex post employee wage losses due to bankruptcy; we estimate that a 10 percentage point increase in firm leverage increases wage compensation for the median worker by 1.9% and total firm wage costs by 17 basis points of firm value.
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Income Effects in Labor Supply: Evidence from Child-Related Tax Benefits
May 2016
Working Paper Number:
CES-16-24
A parent whose child is born in December can claim child-related tax benefits when she files her tax return a few months later. Parents of children born in January must wait more than a year before they can receive child-related tax benefits. As a result, families with December births have higher after-tax income in the first year of a child's life than otherwise similar families with January births. This paper estimates the corresponding income effect on maternal labor supply, testing whether mothers who give birth in December work and earn less in the months following birth. We use data from the American Community Survey, the Survey of Income and Program Participation, and the 2000 Decennial Census. We find that December mothers have a lower probability of working, particularly in the third month after a child's birth. Earnings data from the SIPP indicate that an additional dollar of child-related tax benefits reduces annual maternal earnings in the year following a child's birth by approximately one dollar.
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