CREAT: Census Research Exploration and Analysis Tool

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.
Quick Tip: For organizations, surveys, or acronyms, search under Tags using the full name (e.g., "American Community Survey"). Alternatively, search the acronym under Text. For concise research topics or phrases (e.g., "unemployment rate" or "monopolistic"), use Keywords for the best results.

Explore Recent Working Papers and Trending Keywords


  • Working Paper

    Technifying Ventures

    July 2025

    Working Paper Number:

    CES-25-49

    How do advanced technology adoption and venture capital (VC) funding impact employment and growth? An analysis of data from the US Census Bureau suggests that while both advanced technology use and VC funding matter on their own for firm outcomes, their joint presence is most strongly correlated with higher employment levels. VC presence is linked with a high increase in employment, though primarily among a limited subset of firms. In contrast, technology adoption is associated with a smaller rise in employment, yet it influences a considerably larger number of firms. A model of startups is created, focusing on decisions to use advanced technology and seek VC funding. The model is compared with firm-level data on employment, advanced technology use, and VC investment. Several thought experiments are conducted using the model. Some experiments assess the importance of advanced technology and VC in the economy. Others examine the reallocation effects across firms with different technology choices and funding sources in response to shifts in taxes and subsidies.
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  • Working Paper

    Earnings Measurement Error, Nonresponse and Administrative Mismatch in the CPS

    July 2025

    Working Paper Number:

    CES-25-48

    Using the Current Population Survey Annual Social and Economic Supplement matched to Social Security Administration Detailed Earnings Records, we link observations across consecutive years to investigate a relationship between item nonresponse and measurement error in the earnings questions. Linking individuals across consecutive years allows us to observe switching from response to nonresponse and vice versa. We estimate OLS, IV, and finite mixture models that allow for various assumptions separately for men and women. We find that those who respond in both years of the survey exhibit less measurement error than those who respond in one year. Our findings suggest a trade-off between survey response and data quality that should be considered by survey designers, data collectors, and data users.
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  • Working Paper

    'Oh, Give Me a Home (Trade Share)': Differential Import Price Inflation and Gains from Trade Across U.S. Households

    July 2025

    Working Paper Number:

    CES-25-47

    Consumers are differentially exposed to trade based on their expenditures, but there is little data on how such trade exposure differs across consumer groups and over time. In this paper, we construct 'home trade shares' that vary by age, race, marital status, education, and urban status, and use these to analyze differences in inflation and welfare gains from trade for U.S. demographic groups over the years 1996'2018. We show that over this time period, import prices (inclusive of the effects of taste change) held down overall inflation for all groups. For the typical group, more than a quarter of the gains from trade relative to autarky accrued in our time period. Welfare gains from trade over our time period are largest for rural households, and smallest for Black households. Adding taste change to the typical welfare gains from trade formula boosts the gains for every group relative to the standard formula.
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  • Working Paper

    Trade Within Multinational Boundaries

    July 2025

    Working Paper Number:

    CES-25-46

    We leverage newly linked data from the U.S. Census Bureau and the U.S. Bureau of Economic Analysis to study transactions within U.S. multinational enterprises (MNEs). We show that using administrative data on intrafirm trade allows us to correct for measurement error in survey data and to identify the positive relationship between input-output (IO) linkages and the probability of trade between U.S. parents and their foreign affiliates. We also document the prevalence of intrafirm trade: more than half (three-quarters) of affiliates worldwide (in North America) export to or import from their U.S. parent. Our findings provide strong empirical support for traditional theories of firm boundaries that predict trade between vertically linked units of the same firm, and underscore the importance of accounting for the trade frictions that shape MNEs' regional supply chains.
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  • Working Paper

    Credit Access in the United States

    July 2025

    Working Paper Number:

    CES-25-45

    We construct new population-level linked administrative data to study households' access to credit in the United States. These data reveal large differences in credit access by race, class, and hometown. By age 25, Black individuals, those who grew up in low-income families, and those who grew up in certain areas (including the Southeast and Appalachia) have significantly lower credit scores than other groups. Consistent with lower scores generating credit constraints, these individuals have smaller balances, more credit inquiries, higher credit card utilization rates, and greater use of alternative higher-cost forms of credit. Tests for alternative definitions of algorithmic bias in credit scores yield results in opposite directions. From a calibration perspective, group-level differences in credit scores understate differences in delinquency: conditional on a given credit score, Black individuals and those from low-income families fall delinquent at relatively higher rates. From a balance perspective, these groups receive lower credit scores even when comparing those with the same future repayment behavior. Addressing both of these biases and expanding credit access to groups with lower credit scores requires addressing group-level differences in delinquency rates. These delinquencies emerge soon after individuals access credit in their early twenties, often due to missed payments on credit cards, student loans, and other bills. Comprehensive measures of individuals' income profiles, income volatility, and observed wealth explain only a small portion of these repayment gaps. In contrast, we find that the large variation in repayment across hometowns mostly reflects the causal effect of childhood exposure to these places. Places that promote upward income mobility also promote repayment and expand credit access even conditional on income, suggesting that common place-level factors may drive behaviors in both credit and labor markets. We discuss suggestive evidence for several mechanisms that drive our results, including the role of social and cultural capital. We conclude that gaps in credit access by race, class, and hometown have roots in childhood environments.
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