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Papers Containing Tag(s): 'Federal Statistical Research Data Center'

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Census Bureau Disclosure Review Board - 112

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Longitudinal Business Database - 83

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National Science Foundation - 53

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American Community Survey - 49

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National Bureau of Economic Research - 40

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Research Data Center - 22

Alfred P Sloan Foundation - 21

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Patent and Trademark Office - 12

International Trade Research Report - 12

Energy Information Administration - 12

Longitudinal Firm Trade Transactions Database - 12

Individual Characteristics File - 11

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Person Validation System - 10

University of Chicago - 10

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2010 Census - 10

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Social Security - 10

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University of Michigan - 9

Employment History File - 9

Retail Trade - 9

Environmental Protection Agency - 9

Survey of Income and Program Participation - 9

Business R&D and Innovation Survey - 8

Generalized Method of Moments - 8

COVID-19 - 8

Housing and Urban Development - 8

Manufacturing Energy Consumption Survey - 8

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Information and Communication Technology Survey - 8

Annual Survey of Entrepreneurs - 8

World Trade Organization - 7

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Statistics Canada - 7

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Harmonized System - 5

Ewing Marion Kauffman Foundation - 5

Employer Characteristics File - 5

Board of Governors - 5

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Department of Housing and Urban Development - 5

American Housing Survey - 5

Cornell Institute for Social and Economic Research - 5

UC Berkeley - 5

General Accounting Office - 5

World Bank - 5

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Michigan Institute for Teaching and Research in Economics - 4

National Income and Product Accounts - 4

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IZA - 4

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Social Science Research Institute - 4

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Indian Health Service - 4

Journal of Political Economy - 4

American Economic Review - 4

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National Institutes of Health - 4

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MIT Press - 3

Journal of International Economics - 3

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research census - 6

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economic census - 5

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employment statistics - 5

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parent - 4

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parental - 4

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exported - 4

investing - 4

factor productivity - 4

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employment dynamics - 4

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sectoral - 4

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employment trends - 3

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productivity size - 3

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employment effects - 3

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taxation - 3

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good - 3

pricing - 3

firms census - 3

labor statistics - 3

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census responses - 3

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worker demographics - 3

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longitudinal employer - 3

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Viewing papers 1 through 10 of 171


  • Working Paper

    Consequences of Eviction for Parenting and Non-parenting College Students

    June 2025

    Working Paper Number:

    CES-25-35

    Amidst rising and increasingly unaffordable rents, 7.6 million people are threatened with eviction each year across the United States'and eviction rates are twice as high for renters with children. One important and neglected population who may experience unique levels of housing insecurity is college students, especially given that one in five college students are parents. In this study, we link 11.9 million student records to eviction filings from housing courts, demographic characteristics reported in decennial census and survey data, incomes reported on tax returns by students and their parents, and dates of birth and death from the Social Security Administration. Parenting students are more likely than non-parenting students to identify as female (62.81% vs. 55.94%) and Black (19.66% vs. 14.30%), be over 30 years old (42.73% vs. 20.25%), and have parents with lower household incomes ($100,000 vs. $140,000). Parenting students threatened with eviction (i.e., had an eviction filed against them) are much more likely than non-threatened parenting students to identify as female (81.18% vs. 62.81%) and Black (56.84% vs. 19.66%). In models adjusted for individual and institutional characteristics, we find that being threatened with an eviction was significantly associated with reduced likelihood of degree completion, reduced post-enrollment income, reduced likelihood of being married post-enrollment, and increased post-enrollment mortality. Among parenting students, 38.38% (95% confidence interval (CI): 32.50-44.26%) of non-threatened students completed a bachelor's degree compared to just 15.36% (CI: 11.61-19.11%) of students threatened with eviction. Our findings highlight the long-term economic and health impacts of housing insecurity during college, especially for parenting students. Housing stability for parenting students may have substantial multigenerational benefits for economic mobility and population health.
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  • Working Paper

    The Effects of Eviction on Children

    May 2025

    Working Paper Number:

    CES-25-34

    Eviction may be an important channel for the intergenerational transmission of poverty, and concerns about its effects on children are often raised as a rationale for tenant protection policies. We study how eviction impacts children's home environment, school engagement, educational achievement, and high school completion by assembling new data sets linking eviction court records in Chicago and New York to administrative public school records and restricted Census records. To disentangle the consequences of eviction from the effects of correlated sources of economic distress, we use a research design based on the random assignment of court cases to judges who vary in their leniency. We find that eviction increases children's residential mobility, homelessness, and likelihood of doubling up with grandparents or other adults. Eviction also disrupts school engagement, causing increased absences and school changes. While we find little impact on elementary and middle school test scores, eviction substantially reduces high school course credits. Lastly, we find that eviction reduces high school graduation and use a novel bounding method to show that this finding is not driven by differential attrition. The disruptive effects of eviction appear worse for older children and boys. Our evidence suggests that the impact of eviction on children runs through the disruption to the home environment or school engagement rather than deterioration in school or neighborhood quality, and may be moderated by access to family support networks.
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  • Working Paper

    Firm Heterogeneity, Misallocation, and Trade

    May 2025

    Authors: John Chung

    Working Paper Number:

    CES-25-33

    To what extent do domestic distortions influence the gains from trade? Using data from Chinese manufacturing surveys and U.S. census records, I document two novel stylized facts: (1) Larger producers in China exhibit lower revenue productivity, whereas larger producers in the U.S. exhibit higher revenue productivity. (2) Larger exporters in China exhibit lower export intensity, whereas larger exporters in the U.S. exhibit higher export intensity. A model of heterogeneous producers shows that only the U.S. patterns are consistent with an efficient allocation. To reconcile the observed patterns in China, I introduce producer- and destination-specific subsidies and estimate the model without imposing functional form assumptions on the joint distribution of productivity and subsidy rates. Accounting for distortions in China leads to substantially smaller estimated gains from trade.
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  • Working Paper

    Property Rights, Firm Size and Investments in Innovation: Evidence from the America Invents Act

    May 2025

    Authors: James Driver

    Working Paper Number:

    CES-25-31

    I analyze whether a change in patent systems differentially affects firm-level innovation investments at patent-valuing firms of different sizes. Using legally required, economically representative, U.S. Census Bureau microdata, I separate firms into groups based on a firm's response to a question asking it to rank the degree of patent importance to its business and firm-size. I then measure how firms' innovation inputs/outputs respond to the America Invents Act (AIA). Results show the AIA reduced innovation investments at smaller, patent-valuing firms while increasing innovation investments at larger, patent-valuing firms, highlighting differential firm-size effects of patent policy and policy's importance to investments.
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  • Working Paper

    The Rising Returns to R&D: Ideas Are Not Getting Harder to Find

    May 2025

    Working Paper Number:

    CES-25-29

    R&D investment has grown robustly, yet aggregate productivity growth has stagnated. Is this because 'ideas are getting harder to find'? This paper uses micro-data from the US Census Bureau to explore the relationship between R&D and productivity in the manufacturing sector from 1976 to 2018. We find that both the elasticity of output (TFP) with respect to R&D and the marginal returns to R&D have risen sharply. Exploring factors affecting returns, we conclude that R&D obsolescence rates must have risen. Using a novel estimation approach, we find consistent evidence of sharply rising technological rivalry. These findings suggest that R&D has become more effective at finding productivity-enhancing ideas but these ideas may also render rivals' technologies obsolete, making innovations more transient.
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  • Working Paper

    Growth is Getting Harder to Find, Not Ideas

    April 2025

    Working Paper Number:

    CES-25-21

    Relatively flat US output growth versus rising numbers of US researchers is often interpreted as evidence that "ideas are getting harder to find." We build a new 46-year panel tracking the universe of U.S. firms' patenting to investigate the micro underpinnings of this claim, separately examining the relationships between research inputs and ideas (patents) versus ideas and growth. Over our sample period, we find that researchers' patenting productivity is increasing, there is little evidence of any secular decline in high-quality patenting common to all firms, and the link between patents and growth is present, differs by type of idea, and is fairly stable. On the other hand, we find strong evidence of secular decreases in output unrelated to patenting, suggesting an important role for other factors. Together, these results invite renewed empirical and theoretical attention to the impact of ideas on growth. To that end, our patent-firm bridge, which will be available to researchers with approved access, is used to produce new, public-use statistics on the Business Dynamics of Patenting Firms (BDS-PF).
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  • Working Paper

    Work Organization and Cumulative Advantage

    March 2025

    Working Paper Number:

    CES-25-18

    Over decades of wage stagnation, researchers have argued that reorganizing work can boost pay for disadvantaged workers. But upgrading jobs could inadvertently shift hiring away from those workers, exacerbating their disadvantage. We theorize how work organization affects cumulative advantage in the labor market, or the extent to which high-paying positions are increasingly allocated to already-advantaged workers. Specifically, raising technical skill demands exacerbates cumulative advantage by shifting hiring towards higher-skilled applicants. In contrast, when employers increase autonomy or skills learned on-the-job, they raise wages to buy worker consent or commitment, rather than pre-existing skill. To test this idea, we match administrative earnings to task descriptions from job posts. We compare earnings for workers hired into the same occupation and firm, but under different task allocations. When employers raise complexity and autonomy, new hires' starting earnings increase and grow faster. However, while the earnings boost from complex, technical tasks shifts employment toward workers with higher prior earnings, worker selection changes less for tasks learned on-the-job and very little for high autonomy tasks. These results demonstrate how reorganizing work can interrupt cumulative advantage.
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  • Working Paper

    The Intangible Divide: Why Do So Few Firms Invest in Innovation?

    February 2025

    Working Paper Number:

    CES-25-15

    Investments in software, R&D, and advertising have surged, nearing half of U.S. private nonresidential investment. Yet just a few hundred firms dominate this growth. Most firms, including large ones, regularly invest little in capitalized software and R&D, widening this 'intangible divide' despite falling intangible prices. Using comprehensive US Census microdata, we document these patterns and explore factors associated with intangible investment. We find that firms invest significantly less in innovation-related intangibles when their rivals invest more. One firm's investment can obsolesce rivals' investments, reducing returns. This negative pecuniary externality worsens the intangible divide, potentially leading to significant misallocation.
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  • Working Paper

    Corporate Share Repurchase Policies and Labor Share

    February 2025

    Working Paper Number:

    CES-25-14

    Using census data, we investigate whether share repurchases are responsible for the fall in labor share in U.S. corporations. Recent legislation imposes taxes on share repurchases, motivated by the assertion that share repurchases have led to reduced labor payments. Using several empirical approaches, we find no evidence that increases in share repurchases contribute to decreases in labor share. Top share repurchasing firms since 1982 did not decrease labor share. We also rely on exogenous changes in share repurchases around EPS announcements to pinpoint causality. Policies aimed at improving labor share by discouraging share repurchases will likely not achieve their objectives.
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  • Working Paper

    U.S. Banks' Artificial Intelligence and Small Business Lending: Evidence from the Census Bureau's Annual Business Survey

    February 2025

    Working Paper Number:

    CES-25-07

    Utilizing confidential microdata from the Census Bureau's new technology survey (technology module of the Annual Business Survey), we shed light on U.S. banks' use of artificial intelligence (AI) and its effect on their small business lending. We find that the percentage of banks using AI increases from 14% in 2017 to 43% in 2019. Linking banks' AI use to their small business lending, we find that banks with greater AI usage lend significantly more to distant borrowers, about whom they have less soft information. Using an instrumental variable based on banks' proximity to AI vendors, we show that AI's effect is likely causal. In contrast, we do not find similar effects for cloud systems, other types of software, or hardware surveyed by Census, highlighting AI's uniqueness. Moreover, AI's effect on distant lending is more pronounced in poorer areas and areas with less bank presence. Last, we find that banks with greater AI usage experience lower default rates among distant borrowers and charge these borrowers lower interest rates, suggesting that AI helps banks identify creditworthy borrowers at loan origination. Overall, our evidence suggests that AI helps banks reduce information asymmetry with borrowers, thereby enabling them to extend credit over greater distances.
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