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Food Fight: U.S. Exporters' Adjustments to Russia's 2014 Agricultural Import Ban
December 2025
Working Paper Number:
CES-25-79
This paper examines the impact of Russia's 2014 food-import ban on U.S. firms that exported banned products to Russia. Using confidential customs transaction data, we implement triple-difference and dosage-response approaches to identify how firms adjust to the sudden loss of a market. Following the ban, treated firms experienced a 30 percentage-point decrease in the probability of exporting banned food to Russia relative to control firms. However, there is substantial heterogeneity by pre-ban reliance on the Russian market: heavily reliant firms were significantly less likely to survive once the ban was in place, and survivors experienced large reductions in revenue (19%) and total export value (49%) for each standard deviation increase in Russian market exposure. We find evidence of export redirection to neighboring countries, though it is insufficient to offset losses. Any negative impacts on survivors dissipate by five years post-ban.
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Trapped or Transferred: Worker Mobility and Labor Market Power in the Energy Transition
December 2025
Working Paper Number:
CES-25-76
Using matched employer-employee data covering 1.35 million US workers separated from the fossil fuel extraction industry between 1999 and 2019, I estimate how local fossil fuel labor demand shocks affect employment and earnings. Employment probabilities fall markedly after exposure, and earnings decline gradually over the first seven years with only partial recovery by ten years since exposure to the shocks. Workers who remain in the fossil fuel sector, disproportionately men in sector-specific roles, experience nearly twice the earnings losses of those who switch sectors, possibly due to limited occupational mobility. Among non-switchers, losses are larger in labor markets with high employer concentration, indicating that scarce outside options translate into lower reemployment wages and weaker bargaining positions. Geographic movers fare worse than stayers, reflecting negative selection (younger, lower-earning) and relocation to metropolitan areas where fossil fuel or low-skilled service sectors remain highly concentrated, leaving monopsony power intact.
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Borrowing Constraints, Markups, and Misallocation
December 2025
Working Paper Number:
CES-25-75
We document new facts that link firms' markups to borrowing constraints: (1) less constrained firms within an industry have higher markups, especially in industries where assets are difficult to borrow against and firms rely more on earnings to borrow; (2) markup dispersion is also higher in industries where firms rely more on earnings to borrow. We explain these relationships using a standard Kimball demand model augmented with borrowing against assets and earnings. The key mechanism is a two-way feedback between markups and borrowing constraints. First, less constrained firms charge higher markups, as looser constraints allow them to attain larger market shares. Second, higher markups relax borrowing constraints when firms rely on earnings to borrow, as those with higher markups have higher earnings. This two-way feedback lowers TFP losses from markup dispersion, particularly when firms rely on earnings to borrow.
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The Effect of the Minimum Wage on Childcare Establishments
August 2025
Working Paper Number:
CES-25-53
Childcare is essential for working families, yet it remains increasingly unaffordable and inaccessible for parents and offers poverty-level wages to many employees. While research suggests minimum wage policies may improve the welfare of low-wage workers, there is also evidence they may increase firm exits, especially among smaller, low-profit firms, which could reduce access and harm consumer well-being. This study is the first to examine these trade-offs in the childcare industry, a labor-intensive, highly regulated sector where capital-labor substitution is limited, and to provide evidence on how minimum wage policies affect a dual-sector labor market in the U.S., where self-employed and waged providers serve overlapping markets. Using variation from state-level minimum wage increases between 1995 and 2019 and unique microdata, I implement a cross-state county border discontinuity design to estimate impacts on the stocks, flows, and composition of childcare establishments. I find that while county-level aggregate establishment stocks and employment remained stable, establishment-level turnover increased, and employment decreased. I reconcile these findings by showing that minimum wage increases prompted reallocation, with larger establishments in the waged-sector more likely to enter and less likely to exit, making this one of the first studies to link null aggregate effects to shifts in establishment composition. Finally, I show that minimum wage increases may negatively affect the self-employed sector, resulting in fewer owners with advanced degrees and more with only high school education. These findings suggest that minimum wage policies reshape who provides care in ways that could affect both quality and access.
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Dynamics of High-Growth Young Firms and the Role of Venture Capitalists
June 2025
Working Paper Number:
CES-25-38
Motivated by the substantial growth and upfront investments of venture capital (VC) backed firms observed in administrative US Census data, this paper develops a firm dynamics model over the life cycle. In the model, startups choose the source of financing from VC, Angel investors, or banks, depending on their growth potential, and invest in innovation. The calibrated model explains the life-cycle dynamics of firms with different sources of financing and implies that venture capitalists' advice accounts for around 22% of the growth of VC-backed firms. A counterfactual economy without VC financing would lose aggregate consumption by around 0.4%.
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The Rise of Industrial AI in America: Microfoundations of the Productivity J-curve(s)
April 2025
Working Paper Number:
CES-25-27
We examine the prevalence and productivity dynamics of artificial intelligence (AI) in American manufacturing. Working with the Census Bureau to collect detailed large-scale data for 2017 and 2021, we focus on AI-related technologies with industrial applications. We find causal evidence of J-curve-shaped returns, where short-term performance losses precede longer-term gains. Consistent with costly adjustment taking place within core production processes, industrial AI use increases work-in-progress inventory, investment in industrial robots, and labor shedding, while harming productivity and profitability in the short run. These losses are unevenly distributed, concentrating among older businesses while being mitigated by growth-oriented business strategies and within-firm spillovers. Dynamics, however, matter: earlier (pre-2017) adopters exhibit stronger growth over time, conditional on survival. Notably, among older establishments, abandonment of structured production-management practices accounts for roughly one-third of these losses, revealing a specific channel through which intangible factors shape AI's impact. Taken together, these results provide novel evidence on the microfoundations of technology J-curves, identifying mechanisms and illuminating how and why they differ across firm types. These findings extend our understanding of modern General Purpose Technologies, explaining why their economic impact'exemplified here by AI'may initially disappoint, particularly in contexts dominated by older, established firms.
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Business Dynamics Statistics of Coastal Counties: A Description of Differences in Coastal Areas Over Time
January 2025
Working Paper Number:
CES-25-08R
The Business Dynamics Statistics of Coastal Counties (BDS-CC) is a new experimental data product extending the set of statistics published by the Business Dynamics Statistics (BDS) program to provide more detail on businesses operating in coastal regions of the United States. The BDS-CC provides annual measures of employment, the number of establishments and firms, job creation, job destruction, openings, and closings for businesses in Coastal Shoreline (CS), Coastal Non-Shoreline (CNS), and Non-Coastal (NC) counties. Counties are grouped into these categories based on definitions from the National Oceanic and Atmospheric Administration (NOAA). This product allows for comparisons across industries and coastal regions of the impact of natural disasters and other events that affect coastal areas. The BDS-CC series provides annual statistics for 1978 to 2022 for each of the coastal categories by firm size and firm age, initial firm size, establishment size and establishment age, initial establishment size, sector, 3-digit NAICS code, 4-digit NAICS code, urban/rural categories, and various coastal regions. Following a description of the data and methodology, we highlight some historical trends and analyses conducted using these data.
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The Effect of Oil News Shocks on Job Creation and Destruction
January 2025
Working Paper Number:
CES-25-06
Using data from the Annual Survey of Manufactures (ASM) and the Census of Manufacturing (CMF), we construct quarterly measures of job creation and destruction by 3-digit NAICS industries spanning from 1980Q3-2016Q4. These long series allow us to address three questions regarding the effect of oil news shocks. What is the average effect of oil news shocks on sectoral labor reallocation? What characteristics explain the observed heterogeneity in the average responses across industries? Has the response of US manufacturing changed over time? We find evidence that oil news shocks exert only a moderate effect on total manufacturing net employment growth but lead to a significant increase in job reallocation. However, we find a high degree of heterogeneity in responses across industries. We then show that the cross-industry variation in the sensitivity of net employment growth and excess job reallocation to oil news shocks is related to differences in energy costs, the rate of energy to capital expenditures, and the share of mature firms in the industry. Finally, we illustrate how the dynamic response of sectoral job creation and destruction to oil news shocks has declined since the mid-2000s.
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Competition, Firm Innovation, and Growth under Imperfect Technology Spillovers
July 2024
Working Paper Number:
CES-24-40
We study how friction in learning others' technology, termed 'imperfect technology spillovers,' incentivizes firms to use different types of innovation and impacts the implications of competition through changes in innovation composition. We build an endogenous growth model in which multi-product firms enhance their products via internal innovation and enter new product markets through external innovation. When learning others' technology takes time due to this friction, increased competitive pressure leads firms with technological advantages to intensify internal innovation to protect their markets, thereby reducing others' external innovation. Using the U.S. administrative firm-level data, we provide regression results supporting the model predictions. Our findings highlight the importance of strategic firm innovation choices and changes in their composition in shaping the aggregate implications of competition.
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How Big is Small? The Economic Effects of Access to Small Business Subsidies
June 2024
Working Paper Number:
CES-24-28
Industry size standards that determine eligibility for small business subsidies have vastly increased
over the past decade. We exploit quasi-random variation in the implementation of size standard
increases to study the effects on small firms, subsidy allocation, and industry outcomes using
Census Bureau microdata. Following size standard increases, revenues decline for an industry's
smallest firms, and they are less likely to survive. We link these effects to a reallocation of
government procurement contracts from smaller to larger firms. Consequently, industries become
more concentrated and growth declines. These findings highlight the broad economic effects of
changing eligibility for small business subsidies.
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