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Papers Containing Tag(s): 'Census Bureau Disclosure Review Board'

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American Community Survey - 133

Federal Statistical Research Data Center - 127

Disclosure Review Board - 125

North American Industry Classification System - 119

Longitudinal Business Database - 110

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Current Population Survey - 78

Longitudinal Employer Household Dynamics - 78

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Lucia Foster - 20

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John M. Abowd - 14

Nathan Goldschlag - 12

J. David Brown - 11

Emin Dinlersoz - 10

Sonya R. Porter - 10

Fariha Kamal - 9

Catherine Buffington - 9

Moises Yi - 9

Jonathan Eggleston - 9

Lars Vilhuber - 8

Maggie R. Jones - 8

Kevin Rinz - 8

Zachary Kroff - 7

Cheryl Grim - 6

Zoltan Wolf - 6

Jay Stewart - 6

Martha Stinson - 6

Cristina Tello-Trillo - 6

Randall Akee - 6

Jonathan Colmer - 6

Lawrence Warren - 6

Kevin L. McKinney - 6

Misty L. Heggeness - 6

Ariel J. Binder - 5

Nikolas Zolas - 5

Thomas B. Foster - 5

Renuka Bhaskar - 5

Leah R. Clark - 5

Kendall Houghton - 5

Marta Murray-Close - 5

G. Jacob Blackwood - 4

Cindy Cunningham - 4

Sabrina Wulff Pabilonia - 4

Ryan Monarch - 4

Nicholas Bloom - 4

Kristina McElheran - 4

Erik Brynjolfsson - 4

Teresa C. Fort - 4

Sabrina T. Howell - 4

Charles Hokayem - 4

Eva Lyubich - 4

Amanda Eng - 4

Reed Walker - 4

Gloria G. Aldana - 4

Nikolas Pharris-Ciurej - 4

Leticia Fernandez - 4

Joseph Staudt - 4

Danielle H. Sandler - 4

Dominic A. Smith - 3

Cody Tuttle - 3

Rachel Nesbit - 3

Kristin Sandusky - 3

Ethan Lewis - 3

Robert Ashmead - 3

Daniel Kifer - 3

Philip Leclerc - 3

Rolando A. Rodríguez - 3

Tamara Adams - 3

David Darais - 3

Sourya Dey - 3

Simson L. Garfinkel - 3

Scott Moore - 3

Ramy N. Tadros - 3

Yoshiki Ando - 3

Steven J. Davis - 3

Emilia Simeonova - 3

David Card - 3

Jesse Rothstein - 3

Peter Schott - 3

Sean Wang - 3

Seula Kim - 3

Richard Mansfield - 3

Ethan Krohn - 3

Mary Munro - 3

Jennifer Withrow - 3

Emek Basker - 3

Suvy Qin - 3

Kyle Handley - 3

Timothy R. Wojan - 3

Adela Luque - 3

Carl Lieberman - 3

Garrett Anstreicher - 3

Gale Boyd - 3

Matthew Doolin - 3

James M. Noon - 3

James P. Ziliak - 3

Parag Mahajan - 3

Sharon R. Ennis - 3

Matthew Staiger - 3

J. Daniel Kim - 3

Sarah Miller - 3

Laura Wherry - 3

Javier Miranda - 3

Shawn Klimek - 3

Victoria Udalova - 3

earnings - 59

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labor - 58

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workforce - 54

population - 52

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recession - 49

respondent - 42

ethnicity - 40

market - 33

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disparity - 32

manufacturing - 32

employee - 32

immigrant - 32

disadvantaged - 31

innovation - 31

payroll - 30

sector - 29

economist - 29

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growth - 26

census bureau - 26

entrepreneur - 26

earner - 26

poverty - 26

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investment - 26

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disclosure - 25

industrial - 25

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race - 23

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immigration - 23

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residence - 20

agency - 20

sale - 19

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spillover - 19

welfare - 19

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venture - 18

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heterogeneity - 18

worker - 18

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data - 18

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migrant - 17

percentile - 16

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report - 16

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family - 15

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investor - 13

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impact - 13

patenting - 13

discrimination - 13

microdata - 13

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use census - 12

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environmental - 9

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lending - 8

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invention - 8

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productivity growth - 8

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income data - 8

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productivity dispersion - 7

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Viewing papers 41 through 50 of 292


  • 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.
    View Full Paper PDF
  • Working Paper

    Leveraged Payouts: How Using New Debt to Pay Returns in Private Equity Affects Firms, Employees, Creditors, and Investors

    January 2025

    Working Paper Number:

    CES-25-12

    We study the causal effect of a large increase in firm leverage. Our setting is dividend recapitalizations in private equity (PE), where portfolio companies take on new debt to pay investor returns. After accounting for positive selection into more debt, we show that large leverage increases make firms much riskier, dramatically raising exit and bankruptcy rates but also IPOs. The debt-bankruptcy relationship is in line with Altman-Z model predictions for private firms. Dividend recapitalizations increase deal returns but reduce: (a) wages among surviving firms; (b) pre-existing loan prices; and (c) fund returns, which seems to reflect moral hazard via new fundraising. These results suggest negative implications for employees, pre-existing creditors, and investors.
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  • Working Paper

    Geographic Disparities in Alzheimer's Disease and Related Dementia Mortality in the US: Comparing Impacts of Place of Birth and Place of Residence

    January 2025

    Working Paper Number:

    CES-25-11

    Objective: Building on the hypothesis that early-life exposures might influence the onset of Alzheimer's Disease and Related Dementia (ADRD), this study delves into geographic variations in ADRD mortality in the US. By considering both state of residence and state of birth, we aim to discern the comparative significance of these geospatial factors. Methods: We conducted a secondary data analysis of the National Longitudinal Mortality Study (NLMS), that has 3.5 million records from 1973-2011 and over 0.5 million deaths. We focused on individuals born in or before 1930, tracked in NLMS cohorts from 1979-2000. Employing multi-level logistic regression, with individuals nested within states of residence and/or states of birth, we assessed the role of geographical factors in ADRD mortality variation. Results: We found that both state of birth and state of residence account for a modest portion of ADRD mortality variation. Specifically, state of residence explains 1.19% of the total variation in ADRD mortality, whereas state of birth explains only 0.6%. When combined, both state of residence and state of birth account for only 1.05% of the variation, suggesting state of residence could matter more in ADRD mortality outcomes. Conclusion: Findings of this study suggest that state of residence explains more variation in ADRD mortality than state of birth. These results indicate that factors in later life may present more impactful intervention points for curbing ADRD mortality. While early-life environmental exposures remain relevant, their role as primary determinants of ADRD in later life appears to be less pronounced in this study.
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  • Working Paper

    Workers' Job Prospects and Young Firm Dynamics

    January 2025

    Authors: Seula Kim

    Working Paper Number:

    CES-25-09

    This paper investigates how worker beliefs and job prospects impact the wages and growth of young firms, as well as the aggregate economy. Building a heterogeneous-firm directed search model where workers gradually learn about firm types, I find that learning generates endogenous wage differentials for young firms. High-performing young firms must pay higher wages than equally high-performing old firms, while low-performing young firms offer lower wages than equally low-performing old firms. Reduced uncertainty or labor market frictions lower the wage differentials, thereby enhancing young firm dynamics and aggregate productivity. The results are consistent with U.S. administrative employee-employer matched data.
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  • Working Paper

    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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  • Working Paper

    Measuring the Business Dynamics of Firms that Received Pandemic Relief Funding: Findings from a New Experimental BDS Data Product

    January 2025

    Working Paper Number:

    CES-25-05

    This paper describes a new experimental data product from the U.S. Census Bureau's Center for Economic Studies: the Business Dynamics Statistics (BDS) of firms that received Small Business Administration (SBA) pandemic funding. This new product, BDS-SBA COVID, expands the set of currently published BDS tables by linking loan-level program participation data from SBA to internal business microdata at the U.S. Census Bureau. The linked programs include the Paycheck Protection Program (PPP), COVID Economic Injury Disaster Loans (COVID-EIDL), the Restaurant Revitalization Fund (RRF), and Shuttered Venue Operators Grants (SVOG). Using these linked data, we tabulate annual firm and establishment counts, measures of job creation and destruction, and establishment entry and exit for recipients and non-recipients of program funds in 2020-2021. We further stratify the tables by timing of loan receipt and loan size, and business characteristics including geography, industry sector, firm size, and firm age. We find that for the youngest firms that received PPP, the timing of receipt mattered. Receiving an early loan correlated with a lower job destruction rate compared to non-recipients and businesses that received a later loan. For the smallest firms, simply participating in PPP was associated with lower employment loss. The timing of PPP receipt was also related to establishment exit rates. For businesses of nearly all ages, those that received an early loan exited at a lower rate in 2022 than later loan recipients.
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  • Working Paper

    Potential Bias When Using Administrative Data to Measure the Family Income of School-Aged Children

    January 2025

    Working Paper Number:

    CES-25-03

    Researchers and practitioners increasingly rely on administrative data sources to measure family income. However, administrative data sources are often incomplete in their coverage of the population, giving rise to potential bias in family income measures, particularly if coverage deficiencies are not well understood. We focus on the school-aged child population, due to its particular import to research and policy, and because of the unique challenges of linking children to family income information. We find that two of the most significant administrative sources of family income information that permit linking of children and parents'IRS Form 1040 and SNAP participation records'usefully complement each other, potentially reducing coverage bias when used together. In a case study considering how best to measure economic disadvantage rates in the public school student population, we demonstrate the sensitivity of family income statistics to assumptions about individuals who do not appear in administrative data sources.
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  • Working Paper

    A Granular Look into Firms' Cash Portfolios

    January 2025

    Authors: Youngsuk Yook

    Working Paper Number:

    CES-25-02

    This paper uses confidential Census data to provide a granular look into the U.S. firms' cash holding portfolios encompassing nearly four decades. The data provide information on short-term investment securities held in the portfolios, such as time deposits, commercial paper and government securities in addition to cash. The security-level information reveals that portfolios of the same size can have very different levels of liquidity and riskiness as the composition of securities varies considerably across firms and over time. Firms with strong precautionary motives tend to allocate more toward relatively more liquid and less risky securities. Firms actively rebalance their portfolios in response to changing economic conditions or idiosyncratic shocks to securities they hold. Event studies using shocks to Treasury securities and commercial paper shows firms shifting away from affected securities and simultaneously adjusting weights of other securities.
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  • Working Paper

    Food Security Status Across the Rural-Urban Continuum Before and During the COVID-19 Pandemic

    January 2025

    Working Paper Number:

    CES-25-01

    Background: Food security, defined as consistent access to sufficient food to support an active life, is a crucial social determinant of health. A key dimension affecting food security is position along the rural-urban continuum, as there are important socio-economic and environmental differences between communities related to urbanicity or rurality that impact food access. The COVID-19 pandemic created social and economic shocks that altered financial and food security, which may have had differential effects by rurality and urbanicity. However, there has been limited research on how food security differs across the shades of the rural-urban community spectrum, as most often researchers have characterized communities as either urban or rural. Methods: In this study, which linked restricted use Current Population Survey Food Security Supplement data to census-tract level United States Department of Agriculture Rural-Urban Commuting Area codes, we estimated the prevalence of household food security across temporal (2015-2019 versus 2020-2021) and socio-spatial (urban, large rural city/town, small rural town, or isolated rural town/area) dimensions in order to characterize variations before and during the COVID-19 pandemic by urbanicity/rurality. We report prevalences as point estimates with 95% confidence intervals. Results: The prevalence of food security was 87.7% (87.5-88.0%) in 2015-2019 and 88.8% (88.4-89.3%) in 2020-2021 for urban areas, 85.5% (84.7-86.2%) in 2015-2019 and 87.1% (85.7-88.3%) in 2020-2021 for large rural towns/cities, 82.8% (81.5-84.1%) in 2015-2019 and 87.3% (85.7-89.2%) in 2020-2021 for small rural towns, and 87.6% (86.3-88.8%) in 2015-2019 and 90.9% (88.7-92.7%) in 2020-2021 for isolated rural towns/areas. Conclusion: These findings show that rural communities experiences of food security vary and aggregating households in these environments may mask areas of concern and concentrated need.
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  • Working Paper

    Places versus People: The Ins and Outs of Labor Market Adjustment to Globalization

    December 2024

    Working Paper Number:

    CES-24-78

    We analyze the distinct adjustment paths of U.S. labor markets (places) and U.S. workers (people) to increased Chinese import competition during the 2000s. Using comprehensive register data for 2000'2019, we document that employment levels more than fully rebound in trade-exposed places after 2010, while employment-to-population ratios remain depressed and manufacturing employment further atrophies. The adjustment of places to trade shocks is generational: affected areas recover primarily by adding workers to non-manufacturing who were below working age when the shock occurred. Entrants are disproportionately native-born Hispanics, foreign-born immigrants, women, and the college-educated, who find employment in relatively low-wage service sectors like medical services, education, retail, and hospitality. Using the panel structure of the employer-employee data, we decompose changes in the employment composition of places into trade-induced shifts in the gross flows of people across sectors, locations, and non-employment status. Contrary to standard models, trade shocks reduce geographic mobility, with both in- and out-migration remaining depressed through 2019. The employment recovery instead stems almost entirely from young adults and foreign-born immigrants taking their first U.S. jobs in affected areas, with minimal contributions from cross-sector transitions of former manufacturing workers. Although worker inflows into non-manufacturing more than fully offset manufacturing employment losses in trade-exposed locations after 2010, incumbent workers neither fully recover earnings losses nor predominately exit the labor market, but rather age in place as communities undergo rapid demographic and industrial transitions.
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