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Papers Containing Tag(s): 'Longitudinal Business Database'

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North American Industry Classification System - 224

Bureau of Labor Statistics - 137

Center for Economic Studies - 126

Census Bureau Disclosure Review Board - 112

Standard Industrial Classification - 110

Employer Identification Numbers - 106

National Science Foundation - 105

Internal Revenue Service - 104

Longitudinal Employer Household Dynamics - 95

Annual Survey of Manufactures - 94

Bureau of Economic Analysis - 94

Ordinary Least Squares - 93

National Bureau of Economic Research - 93

Federal Statistical Research Data Center - 90

Total Factor Productivity - 88

Business Register - 85

Economic Census - 83

Census of Manufactures - 73

Business Dynamics Statistics - 73

Census Bureau Business Register - 64

Chicago Census Research Data Center - 63

Census of Manufacturing Firms - 61

Disclosure Review Board - 61

Census Bureau Longitudinal Business Database - 60

Federal Reserve Bank - 59

Standard Statistical Establishment List - 55

Current Population Survey - 53

Metropolitan Statistical Area - 50

American Community Survey - 48

County Business Patterns - 45

Special Sworn Status - 39

Social Security Administration - 38

Kauffman Foundation - 38

Alfred P Sloan Foundation - 37

Longitudinal Firm Trade Transactions Database - 36

Patent and Trademark Office - 35

Decennial Census - 33

International Trade Research Report - 33

Longitudinal Research Database - 33

Research Data Center - 33

University of Chicago - 33

Service Annual Survey - 31

Department of Homeland Security - 31

Cobb-Douglas - 29

Quarterly Workforce Indicators - 28

University of Maryland - 28

Herfindahl Hirschman Index - 28

Quarterly Census of Employment and Wages - 27

Survey of Business Owners - 27

Organization for Economic Cooperation and Development - 26

Retail Trade - 26

Integrated Longitudinal Business Database - 25

Federal Reserve System - 25

World Bank - 25

Michigan Institute for Teaching and Research in Economics - 24

Social Security - 24

Small Business Administration - 24

Financial, Insurance and Real Estate Industries - 23

Wholesale Trade - 23

Protected Identification Key - 22

Social Security Number - 21

Technical Services - 20

W-2 - 20

Company Organization Survey - 20

Initial Public Offering - 20

Survey of Industrial Research and Development - 20

Securities and Exchange Commission - 19

Department of Labor - 19

Department of Economics - 19

Office of Management and Budget - 18

New York University - 18

Cornell University - 17

Individual Characteristics File - 17

World Trade Organization - 17

Business Employment Dynamics - 17

Survey of Income and Program Participation - 17

Census of Retail Trade - 16

Census Bureau Business Dynamics Statistics - 16

Postal Service - 16

Accommodation and Food Services - 16

Annual Business Survey - 15

Characteristics of Business Owners - 15

Generalized Method of Moments - 15

Harmonized System - 15

Employment History File - 15

University of Michigan - 15

Annual Survey of Entrepreneurs - 14

Unemployment Insurance - 14

Business Research and Development and Innovation Survey - 14

Local Employment Dynamics - 14

American Economic Review - 14

Center for Research in Security Prices - 13

Occupational Employment Statistics - 13

National Center for Science and Engineering Statistics - 13

Arts, Entertainment - 13

Environmental Protection Agency - 13

General Accounting Office - 13

American Economic Association - 13

Board of Governors - 13

Core Based Statistical Area - 13

Employer Characteristics File - 13

COMPUSTAT - 13

Information and Communication Technology Survey - 13

University of California Los Angeles - 13

Review of Economics and Statistics - 13

Business R&D and Innovation Survey - 12

Foreign Direct Investment - 12

European Union - 12

Public Administration - 12

Energy Information Administration - 12

NBER Summer Institute - 12

Herfindahl-Hirschman - 12

Journal of Economic Literature - 12

2010 Census - 12

North American Industry Classi - 12

IQR - 11

Stanford University - 11

IBM - 11

Management and Organizational Practices Survey - 11

COVID-19 - 11

Department of Agriculture - 11

Kauffman Firm Survey - 11

Business Services - 11

Bureau of Labor - 11

Boston College - 11

Establishment Micro Properties - 11

Harvard University - 11

Permanent Plant Number - 11

Standard Occupational Classification - 10

Health Care and Social Assistance - 10

National Establishment Time Series - 10

University of Toronto - 10

National Income and Product Accounts - 10

Census Bureau Center for Economic Studies - 10

Limited Liability Company - 10

Retirement History Survey - 10

Federal Trade Commission - 10

Labor Productivity - 10

United States Patent - 9

New York Times - 9

Department of Energy - 9

Sloan Foundation - 9

Business Register Bridge - 9

Linear Probability Models - 9

Department of Commerce - 9

Statistics Canada - 9

State Energy Data System - 9

Customs and Border Protection - 9

TFPQ - 9

Quarterly Journal of Economics - 9

Duke University - 9

National Institutes of Health - 8

National Employer Survey - 8

Legal Form of Organization - 8

Educational Services - 8

Professional Services - 8

Census Numident - 8

Agriculture, Forestry - 8

Ewing Marion Kauffman Foundation - 8

Data Management System - 8

Business Formation Statistics - 8

George Mason University - 8

Columbia University - 8

Harvard Business School - 8

North American Free Trade Agreement - 8

Journal of Political Economy - 8

Journal of International Economics - 8

Person Validation System - 7

Office of Personnel Management - 7

Nonemployer Statistics - 7

United States Census Bureau - 7

Ohio State University - 7

European Commission - 7

Paycheck Protection Program - 7

VAR - 7

E32 - 7

Net Present Value - 7

Federal Register - 7

International Trade Commission - 7

Council of Economic Advisers - 7

Current Employment Statistics - 7

Census of Services - 7

Federal Tax Information - 7

University of Minnesota - 7

Journal of Labor Economics - 7

Journal of Economic Perspectives - 7

Securities Data Company - 7

Medical Expenditure Panel Survey - 7

Chicago RDC - 7

Wal-Mart - 7

National Center for Health Statistics - 6

CAAA - 6

AKM - 6

IZA - 6

Princeton University - 6

Federal Reserve Board of Governors - 6

Employer-Household Dynamics - 6

Labor Turnover Survey - 6

Manufacturing Energy Consumption Survey - 6

Department of Justice - 6

Agency for Healthcare Research and Quality - 6

Department of Defense - 6

Master Address File - 6

National Ambient Air Quality Standards - 6

CDF - 6

Cumulative Density Function - 6

MIT Press - 6

Business Master File - 6

Research and Development - 5

National Longitudinal Survey of Youth - 5

Supreme Court - 5

HHS - 5

Washington University - 5

2SLS - 5

Cornell Institute for Social and Economic Research - 5

LEHD Program - 5

Successor Predecessor File - 5

Geographic Information Systems - 5

TFPR - 5

Probability Density Function - 5

Computer Network Use Supplement - 5

National Academy of Sciences - 5

Commodity Flow Survey - 5

PSID - 5

Center for Administrative Records Research - 5

Department of Health and Human Services - 4

Survey of Manufacturing Technology - 4

Integrated Public Use Microdata Series - 4

Housing and Urban Development - 4

American Immigration Council - 4

Insurance Information Institute - 4

Economic Research Service - 4

Disability Insurance - 4

Code of Federal Regulations - 4

Indian Health Service - 4

Citizenship and Immigration Services - 4

JOLTS - 4

1940 Census - 4

Society of Labor Economists - 4

Stern School of Business - 4

Georgetown University - 4

Centers for Disease Control and Prevention - 4

Department of Housing and Urban Development - 4

Person Identification Validation System - 4

Personally Identifiable Information - 4

Yale University - 4

National Institute on Aging - 4

National Opinion Research Center - 4

Composite Person Record - 4

National Research Council - 4

Survey of Consumer Finances - 4

BLS Handbook of Methods - 4

Pew Research Center - 4

Census 2000 - 4

Administrative Records - 4

American Housing Survey - 4

Fabricated Metal Products - 4

International Standard Industrial Classification - 4

Auxiliary Establishment Survey - 4

New England County Metropolitan - 4

Health and Retirement Study - 3

Value Added - 3

Brookings Institution - 3

Federal Insurance Contribution Act - 3

SSA Numident - 3

Michigan Institute for Data Science - 3

Carnegie Mellon University - 3

Regression Discontinuity Design - 3

Detailed Earnings Records - 3

UC Berkeley - 3

Review of Economic Studies - 3

Princeton University Press - 3

Center for Administrative Records Research and Applications - 3

Electronic Data Interchange - 3

Journal of Econometrics - 3

Penn State University - 3

United Nations - 3

Longitudinal Data Base - 3

Boston Research Data Center - 3

John Haltiwanger - 39

Lucia Foster - 29

Ron Jarmin - 26

Javier Miranda - 24

Nathan Goldschlag - 17

Emin Dinlersoz - 16

Cheryl Grim - 12

Fariha Kamal - 11

William Kerr - 11

Martha Stinson - 10

Teresa C. Fort - 10

J. David Brown - 10

Henry Hyatt - 9

Shawn Klimek - 9

Zoltan Wolf - 8

Catherine Buffington - 8

Peter Schott - 8

Nikolas Zolas - 8

C.J. Krizan - 8

Erik Brynjolfsson - 7

J. Daniel Kim - 7

John S. Earle - 7

Erika McEntarfer - 7

Xavier Giroud - 7

Natarajan Balasubramanian - 7

Cristina Tello-Trillo - 6

Jay Stewart - 6

Zachary Kroff - 6

Steven J. Davis - 6

Nicholas Bloom - 6

Rebecca Zarutskie - 6

Paige Ouimet - 6

Benjamin Pugsley - 6

Lars Vilhuber - 6

Christopher Goetz - 5

Emek Basker - 5

Tania Babina - 5

John M. Abowd - 5

Hyunseob Kim - 5

Mariko Sakakibara - 5

Kristin McCue - 5

Nuri Ersahin - 5

Joseph Staudt - 4

G. Jacob Blackwood - 4

Cindy Cunningham - 4

Sabrina Wulff Pabilonia - 4

Kristin Sandusky - 4

Kristina McElheran - 4

Randall Akee - 4

Sabrina T. Howell - 4

Kyle Handley - 4

Adela Luque - 4

Elisabeth Ruth Perlman - 4

Chen Yeh - 4

Jerome P. Reiter - 4

Timothy Dunne - 4

Ufuk Akcigit - 4

Kevin L. McKinney - 4

Justin Pierce - 4

Holger M. Mueller - 4

Scott Ohlmacher - 4

Peter J. Klenow - 4

Matthias Kehrig - 4

J. Bradford Jensen - 4

Andrew Bernard - 4

Jagadeesh Sivadasan - 4

Dominic A. Smith - 3

Cody Tuttle - 3

Yoshiki Ando - 3

Gordon M Phillips - 3

Sean Wang - 3

Seula Kim - 3

Melissa Chow - 3

Ryan Monarch - 3

Wenting Ma - 3

Sharat Ganapati - 3

Parag Mahajan - 3

John Van Reenen - 3

Mee Jung Kim - 3

Kyung Min Lee - 3

Daron Acemoglu - 3

Wayne B Gray - 3

Sari Pekkala Kerr - 3

Chang-Tai Hsieh - 3

T. Kirk White - 3

Geoffrey Tate - 3

Liu Yang - 3

Elton Mykerezi - 3

Richard M. Todd - 3

Asha Sundaram - 3

Aysegül Sahin - 3

Julia I. Lane - 3

Craig Wesley Carpenter - 3

Robert Kulick - 3

Chad Syverson - 3

Mary Jialin Li - 3

Rustom M. Irani - 3

Edward Glaeser - 3

Allan Collard-Wexler - 3

Mercedes Delgado - 3

manufacturing - 90

growth - 89

employ - 86

market - 84

entrepreneurship - 80

recession - 77

entrepreneur - 74

employed - 74

labor - 73

sector - 71

company - 70

industrial - 68

production - 66

enterprise - 65

employee - 65

workforce - 65

macroeconomic - 65

revenue - 62

econometric - 62

investment - 59

sale - 57

economist - 52

innovation - 51

gdp - 51

entrepreneurial - 50

economically - 48

payroll - 47

venture - 46

acquisition - 45

earnings - 44

export - 43

expenditure - 40

endogeneity - 40

establishment - 39

financial - 38

finance - 38

estimating - 35

quarterly - 35

patent - 34

employment growth - 34

manufacturer - 31

corporation - 30

spillover - 30

demand - 30

organizational - 30

merger - 29

trend - 29

survey - 29

multinational - 29

agency - 28

produce - 28

wholesale - 27

proprietorship - 27

exporter - 27

proprietor - 26

worker - 26

inventory - 25

leverage - 25

hiring - 24

import - 24

patenting - 24

aggregate - 24

technological - 23

investor - 23

profit - 23

financing - 22

startup - 22

debt - 21

productivity growth - 21

corporate - 20

subsidiary - 20

loan - 20

job - 20

earner - 19

disclosure - 19

incorporated - 19

occupation - 19

innovative - 19

productive - 19

regional - 19

accounting - 19

efficiency - 18

report - 18

competitor - 18

innovate - 18

employment dynamics - 18

incentive - 18

bank - 18

statistical - 17

invention - 17

hire - 17

trading - 17

importer - 17

metropolitan - 17

firms grow - 17

founder - 16

monopolistic - 16

profitability - 16

estimation - 16

longitudinal - 16

bankruptcy - 16

data - 16

funding - 15

lending - 15

shock - 15

geographically - 15

economic census - 15

opportunity - 14

retail - 14

data census - 14

respondent - 14

equity - 14

exporting - 14

prospect - 14

growth productivity - 14

researcher - 14

stock - 14

lender - 14

foreign - 14

tariff - 14

declining - 14

decline - 14

immigrant - 14

industry productivity - 14

salary - 13

census bureau - 13

regress - 13

impact - 13

technology - 13

area - 13

region - 13

turnover - 13

banking - 13

supplier - 13

regulation - 13

microdata - 13

econometrician - 13

retailer - 12

productivity dispersion - 12

population - 12

country - 12

invest - 12

exported - 12

wages productivity - 12

employment data - 12

borrowing - 12

younger firms - 12

warehousing - 12

rent - 12

sourcing - 12

firms productivity - 12

state - 12

business data - 12

regression - 12

database - 11

census data - 11

record - 11

labor markets - 11

investing - 11

depreciation - 11

factory - 11

rural - 11

innovator - 11

employment statistics - 11

creditor - 11

firms export - 11

custom - 11

endogenous - 11

unemployed - 11

city - 11

heterogeneity - 11

corp - 11

diversification - 11

startup firms - 11

manager - 11

aggregate productivity - 11

ownership - 11

acquirer - 11

firms patents - 10

minority - 10

innovating - 10

business startups - 10

employment estimates - 10

trends employment - 10

borrower - 10

liquidation - 10

layoff - 10

firms young - 10

exogeneity - 10

sectoral - 10

producing - 10

larger firms - 10

contract - 10

ethnicity - 10

federal - 10

geography - 10

datasets - 10

labor productivity - 10

earn - 9

labor statistics - 9

census employment - 9

businesses grow - 9

patented - 9

workplace - 9

employment trends - 9

shareholder - 9

collateral - 9

growth employment - 9

international trade - 9

hispanic - 9

migrant - 9

relocation - 9

importing - 9

strategic - 9

research - 9

firm growth - 9

growth firms - 9

study - 9

monopolistically - 9

outsourcing - 9

employing - 9

wealth - 9

consumer - 9

regulatory - 9

productivity measures - 9

takeover - 9

shipment - 9

executive - 8

commerce - 8

fund - 8

oligopolistic - 8

competitiveness - 8

patents firms - 8

startups employees - 8

bankrupt - 8

wage growth - 8

firms employment - 8

globalization - 8

exporters multinationals - 8

development - 8

outsourced - 8

imported - 8

firms size - 8

subsidy - 8

credit - 8

immigration - 8

firm dynamics - 8

emission - 8

epa - 8

estimates employment - 8

externality - 8

productivity firms - 8

industry employment - 8

conglomerate - 8

institutional - 7

information census - 7

consolidated - 7

dispersion productivity - 7

measures productivity - 7

recessionary - 7

technology adoption - 7

census survey - 7

productivity estimates - 7

productivity shocks - 7

productivity dynamics - 7

developed - 7

patenting firms - 7

work census - 7

shift - 7

specialization - 7

compensation - 7

share - 7

firms trade - 7

exporting firms - 7

multinational firms - 7

retirement - 7

reallocation productivity - 7

regressing - 7

tenure - 7

union - 7

neighborhood - 7

geographic - 7

product - 7

trademark - 7

downturn - 7

employee data - 7

housing - 7

agriculture - 7

regional economic - 7

cost - 7

buyer - 7

restructuring - 7

warehouse - 6

sector productivity - 6

nonemployer businesses - 6

firm innovation - 6

firm patenting - 6

factor productivity - 6

innovation productivity - 6

worker demographics - 6

borrow - 6

firms age - 6

regressors - 6

irs - 6

poverty - 6

good - 6

industry wages - 6

urban - 6

bias - 6

analysis - 6

decade - 6

competitive - 6

industry concentration - 6

firms census - 6

immigrant entrepreneurs - 6

confidentiality - 6

statistician - 6

coverage - 6

debtor - 6

matching - 6

managerial - 6

management - 6

productivity wage - 6

average - 6

capital - 6

businesses census - 6

census business - 6

rates employment - 6

fluctuation - 6

aging - 6

volatility - 6

aggregation - 6

pollution - 6

department - 5

store - 5

grocery - 5

disaster - 5

spending - 5

prevalence - 5

security - 5

rates productivity - 5

employees startups - 5

longitudinal employer - 5

employment distribution - 5

tax - 5

wage regressions - 5

autoregressive - 5

employment production - 5

mortgage - 5

trader - 5

restaurant - 5

job growth - 5

employment entrepreneurship - 5

migration - 5

industry variation - 5

diversify - 5

plant productivity - 5

publicly - 5

pricing - 5

imputation - 5

recession exposure - 5

rate - 5

equilibrium - 5

elasticity - 5

price - 5

use census - 5

exogenous - 5

estimator - 5

yield - 5

employment wages - 5

census research - 5

foreign trade - 5

research census - 5

censuses surveys - 5

firms exporting - 5

exports firms - 5

profitable - 5

environmental - 5

pollutant - 5

polluting - 5

residential - 5

agglomeration - 5

university - 4

productivity analysis - 4

risk - 4

hurricane - 4

asset - 4

manufacturing productivity - 4

indian - 4

native - 4

socioeconomic - 4

firms import - 4

midwest - 4

immigrant workers - 4

marketing - 4

diversified - 4

impact employment - 4

productivity increases - 4

industry growth - 4

location - 4

ethnic - 4

discrimination - 4

enforcement - 4

privacy - 4

insurance - 4

healthcare - 4

consumption - 4

electricity - 4

electricity prices - 4

pension - 4

black - 4

employer household - 4

level productivity - 4

reporting - 4

workers earnings - 4

earnings workers - 4

plants industry - 4

productivity size - 4

local economic - 4

tech - 4

unemployment rates - 4

saving - 4

franchising - 4

downstream - 4

recession employment - 4

census years - 4

census use - 4

transition - 4

business survival - 4

customer - 4

gain - 4

productivity plants - 4

earnings growth - 4

wages production - 4

linked census - 4

filing - 4

utilization - 4

clerical - 4

estimates productivity - 4

practices productivity - 4

manufacturing industries - 4

trade models - 4

state employment - 4

unobserved - 4

generation - 4

information - 4

inference - 4

retailing - 4

statistical agencies - 4

resident - 4

agglomeration economies - 4

cluster - 4

regional industry - 4

regional industries - 4

graduate - 3

associate - 3

identifier - 3

firm data - 3

distribution - 3

merchandise - 3

percentile - 3

productivity variation - 3

2010 census - 3

oligopoly - 3

disadvantaged - 3

town - 3

advantage - 3

wages employment - 3

poorer - 3

migrate - 3

earnings age - 3

capital productivity - 3

economic growth - 3

small firms - 3

career - 3

expense - 3

relocating - 3

relocate - 3

plant employment - 3

policymakers - 3

statistical disclosure - 3

public - 3

census disclosure - 3

medicare - 3

energy prices - 3

renewable - 3

policy - 3

mandate - 3

employment count - 3

productivity differences - 3

regulation productivity - 3

employment earnings - 3

earnings employees - 3

effect wages - 3

wage data - 3

firms plants - 3

owner - 3

industries estimate - 3

technical - 3

industrialized - 3

taxation - 3

white - 3

forecast - 3

establishments data - 3

asian - 3

subsidized - 3

woman - 3

increase employment - 3

earnings inequality - 3

export growth - 3

trends labor - 3

survey data - 3

employed census - 3

surveys censuses - 3

employment measures - 3

rurality - 3

analyst - 3

agricultural - 3

substitute - 3

franchise - 3

model - 3

supermarket - 3

empirical - 3

valuation - 3

demography - 3

plant investment - 3

environmental regulation - 3

employment flows - 3

Viewing papers 1 through 10 of 384


  • 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.
    View Full Paper PDF
  • 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.
    View Full Paper PDF
  • Working Paper

    National Chains and Trends in Retail Productivity Dispersion

    September 2025

    Working Paper Number:

    CES-25-64

    Productivity dispersion within an industry is an important characteristic of the business environment, potentially reflecting factors such as market structure, production technologies, and reallocation frictions. The retail trade sector saw significant changes between 1987 and 2017, and dispersion statistics can help characterize how it evolved over this period. In this paper, we shed light on this transformation by developing public-use Dispersion Statistics on Productivity (DiSP) data for the retail sector for 1987 through 2017. We find that from 1987 through 2017, dispersion increased between retail stores at the bottom and middle of the productivity distribution. However, when we weight stores by employment dispersion, the middle of the distribution is lower initially and decreases over time. These patterns are consistent with a retail landscape featuring more and more activity taking place in chain stores with similar productivity. Firm-based dispersion measures exhibit a similar pattern. Further investigation reveals that there is substantial heterogeneity in dispersion levels across industries.
    View Full Paper PDF
  • 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.
    View Full Paper PDF
  • 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.
    View Full Paper PDF
  • Working Paper

    The Effect of the Minimum Wage on Childcare Establishments

    August 2025

    Working Paper Number:

    CES-25-53

    Childcare is essential for working families, yet it remains increasingly unaffordable and inaccessible for parents and offers poverty-level wages to many employees. While research suggests minimum wage policies may improve the welfare of low-wage workers, there is also evidence they may increase firm exits, especially among smaller, low-profit firms, which could reduce access and harm consumer well-being. This study is the first to examine these trade-offs in the childcare industry, a labor-intensive, highly regulated sector where capital-labor substitution is limited, and to provide evidence on how minimum wage policies affect a dual-sector labor market in the U.S., where self-employed and waged providers serve overlapping markets. Using variation from state-level minimum wage increases between 1995 and 2019 and unique microdata, I implement a cross-state county border discontinuity design to estimate impacts on the stocks, flows, and composition of childcare establishments. I find that while county-level aggregate establishment stocks and employment remained stable, establishment-level turnover increased, and employment decreased. I reconcile these findings by showing that minimum wage increases prompted reallocation, with larger establishments in the waged-sector more likely to enter and less likely to exit, making this one of the first studies to link null aggregate effects to shifts in establishment composition. Finally, I show that minimum wage increases may negatively affect the self-employed sector, resulting in fewer owners with advanced degrees and more with only high school education. These findings suggest that minimum wage policies reshape who provides care in ways that could affect both quality and access.
    View Full Paper PDF
  • 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

    Investments under Risk: Evidence from Hurricane Strikes

    June 2025

    Working Paper Number:

    CES-25-43

    We demonstrate that firms with plants in areas subject to a significant hurricane strike reduce their capital expenditures at the hurricane-affected plants and shift capital expenditures to plants in non-hurricane-affected areas. This effect is not present prior to 1997 and only appears from 1997 on. Our evidence is consistent with the possibility that a significant climate event such as the signing of the Kyoto Protocol raised the salience of the perceived risk from actual hurricane strikes and shifted firm behavior.
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  • Working Paper

    Dynamics of High-Growth Young Firms and the Role of Venture Capitalists

    June 2025

    Authors: Yoshiki Ando

    Working Paper Number:

    CES-25-38

    Motivated by the substantial growth and upfront investments of venture capital (VC) backed firms observed in administrative US Census data, this paper develops a firm dynamics model over the life cycle. In the model, startups choose the source of financing from VC, Angel investors, or banks, depending on their growth potential, and invest in innovation. The calibrated model explains the life-cycle dynamics of firms with different sources of financing and implies that venture capitalists' advice accounts for around 22% of the growth of VC-backed firms. A counterfactual economy without VC financing would lose aggregate consumption by around 0.4%.
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  • Working Paper

    Tapping Business and Household Surveys to Sharpen Our View of Work from Home

    June 2025

    Working Paper Number:

    CES-25-36

    Timely business-level measures of work from home (WFH) are scarce for the U.S. economy. We review prior survey-based efforts to quantify the incidence and character of WFH and describe new questions that we developed and fielded for the Business Trends and Outlook Survey (BTOS). Drawing on more than 150,000 firm-level responses to the BTOS, we obtain four main findings. First, nearly a third of businesses have employees who work from home, with tremendous variation across sectors. The share of businesses with WFH employees is nearly ten times larger in the Information sector than in Accommodation and Food Services. Second, employees work from home about 1 day per week, on average, and businesses expect similar WFH levels in five years. Third, feasibility aside, businesses' largest concern with WFH relates to productivity. Seven percent of businesses find that onsite work is more productive, while two percent find that WFH is more productive. Fourth, there is a low level of tracking and monitoring of WFH activities, with 70% of firms reporting they do not track employee days in the office and 75% reporting they do not monitor employees when they work from home. These lessons serve as a starting point for enhancing WFH-related content in the American Community Survey and other household surveys.
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