CREAT is a data tool that explores connections between research published in the Center for Economic Studies (CES) working paper series. You can search working papers by automatically generated tags and keywords, or try searching for an author or a specific word/phrase.
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- paper census - 11 working papers
- degree - 9 working papers
- sampling - 20 working papers
- percentile - 38 working papers
- eligibility - 27 working papers
- income individuals - 9 working papers
- suburban - 12 working papers
- security - 12 working papers
- borrow - 13 working papers
- grandparent - 9 working papers
- survey households - 9 working papers
- 1040 - 25 working papers
- university - 11 working papers
- population survey - 11 working papers
- taxpayer - 22 working papers
- prevalence - 27 working papers
- parental - 24 working papers
- urbanization - 16 working papers
- assessed - 23 working papers
- income children - 12 working papers
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Working PaperFresh Start or Fresh Water: The impact of Environmental Lender Liability
January 2026
Working Paper Number:
CES-26-05
I study the impact of lenders' environmental responsibility. The empirical setting exploits the U.S. Lender Liability Act of 1996, which reduced lenders' exposure to the environmental clean-up costs attached to some of their debtors' collateral, and employs difference-indifferences specifications estimated using EPA and U.S. Census microdata. Firms whose lenders face lower environmental liability risks increase pollution, reduce investment in abatement technologies by 14.7%, while experiencing small production and employment distortions. Lenders facing higher liability risks offer loans with less favorable pricing, thus financially incentivizing firms to become more environmentally responsible, and potentially monitor borrowers via shorter debt maturity.View Full Paper PDF
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Working PaperThe U.S. Multinational Advantage during the 2008-2009 Financial Crisis: The Role of Services Trade
January 2026
Working Paper Number:
CES-26-04
We document the augmenting role of services exports in U.S. multinationals' goods-export growth during the global financial crisis. Using newly linked data on U.S. firms' foreign sales of goods and services and a triple-difference identification strategy combined with propensity-score matching, we find that compared to multinationals that only export goods (mono-exporters), multinationals that also export services to the same destination (bi-exporters) experienced higher goods-export growth. This result is driven by sales of intellectual property rights related to industrial processes (e.g., patents, trademarks). We also find higher growth in bi-exporters' foreign affiliate services sales and domestic employment in services sectors. These results reveal a pivotal role of services exports in supporting foreign demand for U.S. goods during the crisis.View Full Paper PDF
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Working PaperSame Shock, Separate Channels: House Prices and Firm Performance in the Great Recession
January 2026
Working Paper Number:
CES-26-03
Combining confidential business-level microdata with housing and banking data, I document large and persistent effects of local house prices on employment at small businesses, and particularly young businesses, during the Great Recession. I show that the effect on entry is important for explaining the disproportionate effect on young businesses, while young firm exit is also disproportionately affected. I then explore the channels through which house prices affect business outcomes. I use survey data to show that reliance on either personal assets or home equity is associated with increased sensitivity to house prices. I then use local bank balance sheet information to show both young and old firms are sensitive to local credit shocks, with some evidence of a larger effect on young businesses. I develop a macroeconomic model that is consistent with these findings where house prices work through two channels: a bank credit supply channel and a housing collateral channel.View Full Paper PDF
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Working PaperIntegrating Multiple U.S. Census Bureau Data Assets to Create Standardized Profiles of Program Participants
January 2026
Working Paper Number:
CES-26-01
The Foundations for Evidence-Based Policymaking Act of 2018 (Evidence Act) directed federal agencies to systematically use data when making policy decisions. In response, the U.S. Census Bureau established the Evidence Group within its Center for Economic Studies (CES). With an interdisciplinary team of economists, sociologists, and statisticians, the Evidence Group can support the broader federal government in their efforts to use existing data to improve program operations without increasing respondent burden. For federal agencies administering social safety net and business assistance programs in particular, the team provides a no-cost evidence-building service that links program records to Census Bureau data assets and creates a series of standardized tables describing participants, their economic outcomes prior to program entry, and the communities where they live. These tables provide partner agencies with the detailed information they need to better understand their participants and potentially make their programs more accountable and effective in reaching their target populations. In this working paper, we describe the standardized tables themselves as well as the data assets available at the Census Bureau to create these tables, the data files produced by the table production process, and the methodology used to merge and harmonize data on participants and subsequently calculate unbiased and accurate estimates. We conclude with a brief discussion of steps taken to ensure confidentiality and data security. This documentation is intended to facilitate proper use and understanding of the standardized tables by partner agencies as well as researchers who are interested in leveraging these tools to explore characteristics of their samples of interest.View Full Paper PDF
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Working PaperFood 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.View Full Paper PDF
