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

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Census Bureau Disclosure Review Board - 134

North American Industry Classification System - 95

Longitudinal Business Database - 93

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Center for Economic Studies - 61

National Science Foundation - 57

American Community Survey - 54

Bureau of Labor Statistics - 53

Longitudinal Employer Household Dynamics - 46

National Bureau of Economic Research - 44

Internal Revenue Service - 38

Annual Survey of Manufactures - 37

Current Population Survey - 35

Economic Census - 34

Employer Identification Numbers - 33

Federal Reserve Bank - 33

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Standard Industrial Classification - 32

Ordinary Least Squares - 32

Bureau of Economic Analysis - 31

Decennial Census - 31

Census of Manufactures - 30

Social Security Administration - 30

Census of Manufacturing Firms - 28

Total Factor Productivity - 27

Protected Identification Key - 25

Business Register - 24

Alfred P Sloan Foundation - 22

Research Data Center - 22

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County Business Patterns - 21

Organization for Economic Cooperation and Development - 21

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Special Sworn Status - 18

Chicago Census Research Data Center - 17

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Patent and Trademark Office - 15

Cobb-Douglas - 15

Quarterly Workforce Indicators - 15

Department of Homeland Security - 15

Service Annual Survey - 14

Longitudinal Firm Trade Transactions Database - 14

Herfindahl Hirschman Index - 13

Energy Information Administration - 13

Department of Economics - 13

Quarterly Census of Employment and Wages - 13

National Center for Science and Engineering Statistics - 13

Federal Reserve System - 12

Person Validation System - 12

Social Security - 12

International Trade Research Report - 12

Census Bureau Longitudinal Business Database - 11

University of Chicago - 11

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United States Census Bureau - 10

University of Michigan - 10

Business Research and Development and Innovation Survey - 10

Annual Survey of Entrepreneurs - 9

Integrated Public Use Microdata Series - 9

Cornell University - 9

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Small Business Administration - 9

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Survey of Income and Program Participation - 9

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IQR - 8

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World Trade Organization - 8

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Statistics Canada - 8

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National Institute on Aging - 7

European Union - 7

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National Academy of Sciences - 7

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American Economic Association - 7

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W-2 - 6

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National Center for Health Statistics - 6

Geographic Information Systems - 6

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National Establishment Time Series - 6

Duke University - 6

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Master Address File - 6

Review of Economics and Statistics - 6

Center for Research in Security Prices - 5

National Income and Product Accounts - 5

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Michigan Institute for Teaching and Research in Economics - 5

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Department of Education - 5

Federal Register - 5

Princeton University - 5

Longitudinal Research Database - 5

IBM - 5

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Ewing Marion Kauffman Foundation - 5

Department of Housing and Urban Development - 5

American Housing Survey - 5

Cornell Institute for Social and Economic Research - 5

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General Accounting Office - 5

World Bank - 5

Characteristics of Business Owners - 5

Employer-Household Dynamics - 4

Standard Occupational Classification - 4

Office of Personnel Management - 4

Nonemployer Statistics - 4

Yale University - 4

Health and Retirement Study - 4

Department of Health and Human Services - 4

Commodity Flow Survey - 4

AKM - 4

Paycheck Protection Program - 4

IZA - 4

Business Employment Dynamics - 4

Social Science Research Institute - 4

Columbia University - 4

Indian Health Service - 4

Journal of Political Economy - 4

American Economic Review - 4

Council of Economic Advisers - 4

Person Identification Validation System - 4

Bureau of Labor - 4

TFPR - 4

TFPQ - 4

European Commission - 4

1940 Census - 4

Public Use Micro Sample - 4

Census Edited File - 4

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Data Management System - 4

Economic Research Service - 4

North American Industry Classi - 4

Department of Commerce - 4

Kauffman Firm Survey - 4

National Employer Survey - 3

Ohio State University - 3

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Minnesota Population Center - 3

Supplemental Nutrition Assistance Program - 3

Consumer Expenditure Survey - 3

United Nations - 3

Customs and Border Protection - 3

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New York University - 3

Harvard Business School - 3

Federal Reserve Board of Governors - 3

Quarterly Journal of Economics - 3

Business Register Bridge - 3

Retirement History Survey - 3

MAFID - 3

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Federal Trade Commission - 3

Department of Justice - 3

Census Bureau Business Dynamics Statistics - 3

National Research Council - 3

Centers for Disease Control and Prevention - 3

Disability Insurance - 3

Composite Person Record - 3

Local Employment Dynamics - 3

Federal Tax Information - 3

Educational Services - 3

Health Care and Social Assistance - 3

Current Employment Statistics - 3

Brookings Institution - 3

Arts, Entertainment - 3

HHS - 3

Pew Research Center - 3

Federal Insurance Contribution Act - 3

MIT Press - 3

Journal of International Economics - 3

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use census - 8

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exogeneity - 7

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accounting - 7

equity - 7

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impact - 7

firms patents - 7

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bankruptcy - 7

technology - 6

innovating - 6

patented - 6

fuel - 6

occupation - 6

creditor - 6

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percentile - 6

labor markets - 6

segregated - 6

suburb - 6

price - 6

firms export - 6

trading - 6

investing - 6

invest - 6

intergenerational - 6

estimation - 6

patents firms - 6

productive - 6

depreciation - 6

innovator - 6

patenting firms - 6

credit - 6

warehousing - 6

black - 6

heterogeneity - 6

electricity - 6

epa - 6

state - 6

geographically - 6

bias - 6

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research census - 6

renewable - 6

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borrow - 5

graduate - 5

average - 5

productivity measures - 5

database - 5

proprietor - 5

parent - 5

family - 5

parental - 5

country - 5

recessionary - 5

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suburbanization - 5

importing - 5

exported - 5

trader - 5

sociology - 5

crime - 5

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firm innovation - 5

firm patenting - 5

productivity estimates - 5

productivity shocks - 5

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tax - 5

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development - 5

outsourced - 5

monopolistically - 5

regional - 5

supplier - 5

census disclosure - 5

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wealth - 5

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growth productivity - 5

analysis - 5

productivity dispersion - 5

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2010 census - 5

economic census - 5

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employment statistics - 5

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information census - 4

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labor statistics - 4

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gain - 4

good - 4

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factor productivity - 4

innovation productivity - 4

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employment dynamics - 4

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custom - 4

exporting firms - 4

sectoral - 4

tariff - 4

region - 4

labor productivity - 4

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efficient - 4

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irs - 4

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censuses surveys - 4

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reporting - 4

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tech - 3

unemployment rates - 3

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urbanization - 3

residential segregation - 3

urbanized - 3

consumer - 3

poorer - 3

commodity - 3

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export market - 3

downstream - 3

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employment earnings - 3

earnings employees - 3

financing - 3

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prospect - 3

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geographic - 3

foreign - 3

globalization - 3

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employment effects - 3

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immigrant workers - 3

marketing - 3

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firms census - 3

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plant productivity - 3

public - 3

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amenity - 3

longitudinal employer - 3

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productivity firms - 3

firms grow - 3

commerce - 3

retail - 3

business startups - 3

buyer - 3

linked census - 3

decade - 3

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industry productivity - 3

dispersion productivity - 3

ancestry - 3

immigrant entrepreneurs - 3

businesses census - 3

divorced - 3

surveys censuses - 3

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Viewing papers 1 through 10 of 193


  • Working Paper

    Technology-Driven Market Concentration through Idea Allocation

    December 2025

    Working Paper Number:

    CES-25-78

    Using a newly-created measure of technology novelty, this paper identifies periods with and without technology breakthroughs from the 1980s to the 2020s in the US. It is found that market concentration decreases at the advent of revolutionary technologies. We establish a theory addressing inventors' decisions to establish new firms or join incumbents of selected sizes, yielding two key predictions: (1) A higher share of inventors opt for new firms during periods of heightened technology novelty. (2). There is positive assortative matching between idea quality and firm size if inventors join incumbents. Both predictions align with empirical findings and collectively contribute to a reduction in market concentration when groundbreaking technologies occur. Quantitative analysis shows the overall slowdown in technological breakthroughs can capture 95.9% of the rising trend in market concentration and the correlation between the model-generated and the actual detrended market concentration is 0.910.
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  • Working Paper

    Specialization in a Knowledge Economy

    December 2025

    Authors: Yueyuan Ma

    Working Paper Number:

    CES-25-77

    Using firm-level data from the US Census Longitudinal Business Database (LBD), this paper exhibits novel evidence about a wave of specialization experienced by US firms in the 1980s and 1990s. Specifically: (i) Firms, especially innovating ones, decreased production scope, i.e., the number of industries in which they produce. (ii) Innovation and production separated, with small firms specializing in innovation and large firms in production. Higher patent trading efficiency and stronger patent protection are proposed to explain these phenomena. An endogenous growth model is developed with potential mismatches between innovation and production. Calibrating the model suggests that increased trading efficiency and better patent protection can explain 20% of the observed production scope decrease and 108% of the innovation and production separation. They result in a 0.64 percent point increase in the annual economic growth rate. Empirical analyses provide evidence of causality from pro-patent reforms in the 1980s to the two specialization patterns.
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  • Working Paper

    Trapped or Transferred: Worker Mobility and Labor Market Power in the Energy Transition

    December 2025

    Authors: Minwoo Hyun

    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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  • Working Paper

    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.
    View Full Paper PDF
  • Working Paper

    Double-Pane Glass Ceiling: Commercial Engagement and the Female-Male Earnings Gap for Faculty

    September 2025

    Authors: Joseph Staudt

    Working Paper Number:

    CES-25-68

    I use administrative data from universities (UMETRICS) linked to the universe of confidential W-2 and 1040-C tax records to measure faculty commercial engagement and its role in female-male earnings gaps. Female faculty are 20 percentage points less likely to engage commercially, with the entire gap driven by self-employment. The raw earnings gap is $63,000 on a base of $162,000 and non-university earnings account for $18,000 (29 percent) of this total. Thus, while university pay explains most of the gap, commercial engagement substantially amplifies it. Earnings gaps appear in all components of non-university pay ' self-employment, and work for incumbent, young/startup, high-tech, and non-high-tech firms ' and remain large, though attenuated, after controlling publications, patents, field, university, scientific resources, age, marital status, childbearing, and demographics. Gaps widen as faculty move up the earnings distribution, and commercial engagement becomes a larger contributor. Men and women engage with similar industries, but men earn more in all shared industries.
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  • Working Paper

    Manufacturing Dispersion: How Data Cleaning Choices Affect Measured Misallocation and Productivity Growth in the Annual Survey of Manufactures

    September 2025

    Working Paper Number:

    CES-25-67

    Measurement of dispersion of productivity levels and productivity growth rates across businesses is a key input for answering a variety of important economic questions, such as understanding the allocation of economic inputs across businesses and over time. While item nonresponse is a readily quantifiable issue, we show there is also misreporting by respondents in the Annual Survey of Manufactures (ASM). Aware of these measurement issues, the Census Bureau edits and imputes survey responses before tabulation and dissemination. However, edit and imputation methods that are suitable for publishing aggregate totals may not be suitable for estimating other measures from the microdata. We show that the methods used dramatically affect estimates of productivity dispersion, allocative efficiency, and aggregate productivity growth. Using a Bayesian approach for editing and imputation, we model the joint distributions of all variables needed to estimate these measures, and we quantify the degree of uncertainty in the estimates due to imputations for faulty or missing data.
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  • Working Paper

    Matching Compustat Data to the Longitudinal Business Database, 1976-2020

    September 2025

    Working Paper Number:

    CES-25-65

    This paper details the methodology for creating an updated Compustat-Longitudinal Business Database (LBD) bridge, facilitating linkage between company identifiers in Compustat and firm identifiers in the LBD. In addition to data from Compustat, we incorporate historical data on public companies from various public and private sources, including information on executive names. Our methodology involves a series of stages using fuzzy name and address matching, including EIN, telephone number, and industry code matching. Qualified researchers with approved proposals can access this bridge though the Federal Statistical Research Data Centers. The Compustat-SSL bridge serves as a crucial resource for longitudinal studies on U.S. businesses, corporate governance, and executive compensation.
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  • Working Paper

    Job Tasks, Worker Skills, and Productivity

    September 2025

    Working Paper Number:

    CES-25-63

    We present new empirical evidence suggesting that we can better understand productivity dispersion across businesses by accounting for differences in how tasks, skills, and occupations are organized. This aligns with growing attention to the task content of production. We link establishment-level data from the Bureau of Labor Statistics Occupational Employment and Wage Statistics survey with productivity data from the Census Bureau's manufacturing surveys. Our analysis reveals strong relationships between establishment productivity and task, skill, and occupation inputs. These relationships are highly nonlinear and vary by industry. When we account for these patterns, we can explain a substantial share of productivity dispersion across establishments.
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  • Working Paper

    Kids to School and Moms to Work: New York City's Universal Pre-K Expansion and Mother's Employment

    September 2025

    Authors: Laxman Timilsina

    Working Paper Number:

    CES-25-62

    Using the restricted data from American Community Survey from 2011 to 2017, this paper examines the impact of New York City's (NYC) expansion of universal pre-kindergarten (UPK) on labor force participation of mothers with the youngest child of 4 years of age. Starting in Fall of 2014, any child who is 4 years old and residing in NYC for the past year is eligible for UPK for the academic year, for example all children born in 2010 would qualify for the academic year 2014-15. It uses a triple-difference approach - first compare mothers in NYC with the youngest child of 4-year-olds (treated mothers) to mothers with the youngest child of 5 and 6-year-olds (control mothers) before and after the program. Next, it compares this difference with mothers living in adjacent counties in the New York Metropolitan Area (NMA) in New York to NYC. I find that the program increased mothers' labor force participation by 5 percentage points (a 7.5 percent impact) in NYC. The results are robust to various robustness checks like comparing with mothers living in all of NMA and mothers in Philadelphia.
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  • Working Paper

    Business Owners and the Self-Employed: 33 Million (and Counting!)

    September 2025

    Working Paper Number:

    CES-25-60

    Entrepreneurs are known to be key drivers of economic growth, and the rise of online platforms and the broader 'gig economy' has led self-employment to surge in recent decades. Yet the young and small businesses associated with this activity are often absent from economic data. In this paper, we explore a novel longitudinal dataset that covers the owners of tens of millions of the smallest businesses: those without employees. We produce three new sets of statistics on the rapidly growing set of nonemployer businesses. First, we measure transitions between self-employment and wage and salary jobs. Second, we describe nonemployer business entry and exit, as well as transitions between legal form (e.g., sole proprietorship to S corporation). Finally, we link owners to their nonemployer businesses and examine the dynamics of business ownership.
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