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Papers Containing Keywords(s): 'employee'

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Longitudinal Employer Household Dynamics - 99

Bureau of Labor Statistics - 66

Longitudinal Business Database - 64

Current Population Survey - 60

North American Industry Classification System - 57

National Science Foundation - 49

Employer Identification Numbers - 47

Center for Economic Studies - 47

Internal Revenue Service - 45

Alfred P Sloan Foundation - 43

Ordinary Least Squares - 38

Standard Industrial Classification - 36

Quarterly Workforce Indicators - 35

Quarterly Census of Employment and Wages - 35

Census Bureau Disclosure Review Board - 31

Social Security Administration - 30

American Community Survey - 29

Unemployment Insurance - 27

Business Register - 26

Metropolitan Statistical Area - 26

Decennial Census - 25

National Bureau of Economic Research - 24

Cornell University - 23

Protected Identification Key - 21

Chicago Census Research Data Center - 21

Social Security - 20

Annual Survey of Manufactures - 20

Economic Census - 20

LEHD Program - 20

Social Security Number - 19

Federal Statistical Research Data Center - 19

International Trade Research Report - 19

Standard Statistical Establishment List - 19

Disclosure Review Board - 18

Department of Labor - 18

Federal Reserve Bank - 18

Research Data Center - 18

Survey of Income and Program Participation - 18

Census of Manufactures - 17

Local Employment Dynamics - 17

AKM - 16

Bureau of Economic Analysis - 16

Individual Characteristics File - 15

Business Dynamics Statistics - 15

Employment History File - 15

County Business Patterns - 14

Service Annual Survey - 14

National Institute on Aging - 14

Longitudinal Research Database - 14

University of Chicago - 13

Federal Reserve System - 13

Census Bureau Business Register - 12

Total Factor Productivity - 12

Employer Characteristics File - 11

Cornell Institute for Social and Economic Research - 11

Special Sworn Status - 11

American Economic Review - 11

Financial, Insurance and Real Estate Industries - 11

Census Bureau Longitudinal Business Database - 10

Department of Homeland Security - 10

Retail Trade - 10

Census of Manufacturing Firms - 9

Business Employment Dynamics - 9

Characteristics of Business Owners - 8

Business Register Bridge - 8

Labor Turnover Survey - 8

Occupational Employment Statistics - 8

National Longitudinal Survey of Youth - 8

Employer-Household Dynamics - 8

Office of Personnel Management - 8

University of Maryland - 8

PSID - 8

W-2 - 7

Census Numident - 7

JOLTS - 7

Journal of Labor Economics - 7

Core Based Statistical Area - 7

University of Michigan - 7

Kauffman Foundation - 7

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Technical Services - 6

American Economic Association - 6

Survey of Business Owners - 6

Department of Economics - 6

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Columbia University - 6

Master Address File - 6

Board of Governors - 6

2010 Census - 6

Quarterly Journal of Economics - 6

Journal of Political Economy - 6

Small Business Administration - 6

Review of Economics and Statistics - 5

Herfindahl Hirschman Index - 5

Composite Person Record - 5

Federal Tax Information - 5

Department of Health and Human Services - 5

Urban Institute - 5

North American Industry Classi - 5

Harvard University - 5

Business Master File - 5

Probability Density Function - 5

New York Times - 5

Postal Service - 5

Journal of Economic Literature - 5

Department of Commerce - 5

Russell Sage Foundation - 5

Permanent Plant Number - 5

Agriculture, Forestry - 4

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Securities and Exchange Commission - 4

Ewing Marion Kauffman Foundation - 4

CDF - 4

Census Bureau Business Dynamics Statistics - 4

Accommodation and Food Services - 4

MIT Press - 4

Office of Management and Budget - 4

Cobb-Douglas - 4

Standard Occupational Classification - 4

Business Services - 4

Professional Services - 4

Medical Expenditure Panel Survey - 4

University of Minnesota - 4

Boston College - 4

Journal of Economic Perspectives - 4

BLS Handbook of Methods - 4

University of Toronto - 4

Organization for Economic Cooperation and Development - 4

Wholesale Trade - 4

Public Administration - 4

Integrated Longitudinal Business Database - 4

Department of Defense - 4

Bureau of Labor - 4

Sloan Foundation - 4

American Housing Survey - 4

Census 2000 - 4

Federal Reserve Bank of Chicago - 4

American Statistical Association - 4

Michigan Institute for Teaching and Research in Economics - 4

Census of Retail Trade - 4

1940 Census - 4

Sample Edited Detail File - 4

Computer Assisted Telephone Interviews and Computer Assisted Personal Interviews - 4

CATI - 4

WECD - 4

National Employer Survey - 4

NBER Summer Institute - 3

National Center for Science and Engineering Statistics - 3

Annual Business Survey - 3

Data Management System - 3

Council of Economic Advisers - 3

Management and Organizational Practices Survey - 3

Person Validation System - 3

Arts, Entertainment - 3

Agency for Healthcare Research and Quality - 3

United States Census Bureau - 3

Federal Insurance Contribution Act - 3

Disability Insurance - 3

Health and Retirement Study - 3

UC Berkeley - 3

Federal Reserve Board of Governors - 3

National Income and Product Accounts - 3

Information and Communication Technology Survey - 3

Initial Public Offering - 3

Company Organization Survey - 3

Indian Health Service - 3

HHS - 3

Ohio State University - 3

Current Employment Statistics - 3

Society of Labor Economists - 3

Housing and Urban Development - 3

Journal of Econometrics - 3

Kauffman Firm Survey - 3

Generalized Method of Moments - 3

National Research Council - 3

Center for Research in Security Prices - 3

Computer Assisted Personal Interview - 3

Consolidated Metropolitan Statistical Areas - 3

Survey of Manufacturing Technology - 3

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econometric - 25

employment dynamics - 25

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entrepreneurship - 22

census employment - 22

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longitudinal employer - 20

agency - 19

industrial - 19

employment statistics - 18

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longitudinal - 17

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quarterly - 17

employee data - 17

venture - 17

turnover - 16

employment data - 16

earn - 16

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layoff - 15

manufacturing - 15

employer household - 15

incentive - 14

labor statistics - 14

census bureau - 14

entrepreneurial - 14

heterogeneity - 13

production - 13

unemployed - 12

employment estimates - 12

growth - 12

bias - 12

proprietorship - 12

shift - 11

corporation - 11

corporate - 11

employment wages - 11

compensation - 11

ownership - 11

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endogeneity - 10

workers earnings - 10

employment earnings - 10

estimating - 10

discrimination - 10

manager - 10

employment count - 10

report - 10

data - 10

work census - 9

disclosure - 9

acquisition - 9

immigrant - 9

earnings workers - 9

wage industries - 9

wage data - 9

workforce indicators - 9

estimates employment - 9

data census - 9

founder - 9

wages employment - 9

clerical - 9

economic census - 9

employment flows - 9

statistical - 9

labor markets - 8

finance - 8

profit - 8

unemployment rates - 8

opportunity - 8

matching - 8

associate - 8

earnings employees - 8

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worker demographics - 7

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macroeconomic - 7

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employment effects - 6

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employment measures - 6

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union - 6

labor productivity - 6

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measures employment - 6

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employment trends - 5

imputation - 5

record - 5

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statistician - 5

industry wages - 5

wage differences - 5

earnings inequality - 5

wage changes - 5

insurance - 5

shareholder - 5

retirement - 5

metropolitan - 5

accounting - 5

startup firms - 5

employment changes - 5

industry employment - 5

regression - 5

wage regressions - 5

residential - 5

hispanic - 5

specialization - 5

managerial - 5

employment production - 5

technological - 5

unobserved - 4

relocation - 4

trends employment - 4

export - 4

financial - 4

investor - 4

exogeneity - 4

tax - 4

impact employment - 4

transition - 4

immigration - 4

outsourcing - 4

analysis - 4

wage earnings - 4

aggregate - 4

productivity differences - 4

efficiency - 4

federal - 4

medicaid - 4

takeover - 4

ssa - 4

census research - 4

decline - 4

state employment - 4

job growth - 4

effects employment - 4

rural - 4

population - 4

censuses surveys - 4

researcher - 4

unemployment insurance - 4

owned businesses - 4

business data - 4

endogenous - 4

employees startups - 4

employment entrepreneurship - 4

socioeconomic - 4

wages productivity - 4

segregated - 4

technology - 4

spillover - 3

employment distribution - 3

younger firms - 3

firms employment - 3

firms age - 3

firms size - 3

migrant - 3

immigrant workers - 3

expense - 3

outsourced - 3

econometrician - 3

women earnings - 3

wage growth - 3

reporting - 3

stock - 3

coverage employer - 3

linked census - 3

household surveys - 3

datasets - 3

housing - 3

regress - 3

recession employment - 3

innovation - 3

competitor - 3

funding - 3

firms young - 3

demand - 3

growth employment - 3

profitability - 3

use census - 3

nonemployer businesses - 3

career - 3

contract - 3

business owners - 3

heterogeneous - 3

residence - 3

business startups - 3

ethnic - 3

partnership - 3

customer - 3

establishments data - 3

management - 3

performance - 3

pension - 3

network - 3

insured - 3

insurance employer - 3

white - 3

racial - 3

surveys censuses - 3

citizen - 3

educated - 3

franchising - 3

econometrically - 3

model - 3

poverty - 3

firm growth - 3

firms plants - 3

Viewing papers 1 through 10 of 167


  • Working Paper

    Size Matters: Matching Externalities and the Advantages of Large Labor Markets

    April 2025

    Working Paper Number:

    CES-25-22

    Economists have long hypothesized that large and thick labor markets facilitate the matching between workers and firms. We use administrative data from the LEHD to compare the job search outcomes of workers originally in large and small markets who lost their jobs due to a firm closure. We define a labor market as the Commuting Zone'industry pair in the quarter before the closure. To account for the possible sorting of high-quality workers into larger markets, the effect of market size is identified by comparing workers in large and small markets within the same CZ, conditional on workers fixed effects. In the six quarters before their firm's closure, workers in small and large markets have a similar probability of employment and quarterly earnings. Following the closure, workers in larger markets experience significantly shorter non-employment spells and smaller earning losses than workers in smaller markets, indicating that larger markets partially insure workers against idiosyncratic employment shocks. A 1 percent increase in market size results in a 0.015 and 0.023 percentage points increase in the 1-year re-employment probability of high school and college graduates, respectively. Displaced workers in larger markets also experience a significantly lower need for relocation to a different CZ. Conditional on finding a new job, the quality of the new worker-firm match is higher in larger markets, as proxied by a higher probability that the new match lasts more than one year; the new industry is the same as the old one; and the new industry is a 'good fit' for the worker's college major. Consistent with the notion that market size should be particularly consequential for more specialized workers, we find that the effects are larger in industries where human capital is more specialized and less portable. Our findings may help explain the geographical agglomeration of industries'especially those that make intensive use of highly specialized workers'and validate one of the mechanisms that urban economists have proposed for the existence of agglomeration economies.
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  • Working Paper

    The Composition of Firm Workforces from 2006'2022: Findings from the Business Dynamics Statistics of Human Capital Experimental Product

    April 2025

    Working Paper Number:

    CES-25-20

    We introduce the Business Dynamics Statistics of Human Capital (BDS-HC) tables, a new Census Bureau experimental product that provides public-use statistics on the workforce composition of firms and its relationship to business dynamics. We use administrative W-2 filings to combine population-level worker demographic data with longitudinal business data to estimate the demographic and educational composition of nearly all non-farm employer businesses in the United States between 2006 and 2022. We use this newly constructed data to document the evolution of employment, entry, and exit of employers based on their workforce compositions. We also provide new statistics on the interaction between firm and worker characteristics, including the composition of workers at startup firms. We find substantial changes between 2006 and 2022 in the distribution of employers along several dimensions, primarily driven by changing workforce compositions within continuing firms rather than the reallocation of employment between firms. We also highlight systematic differences in the business dynamics of firms by their workforce compositions, suggesting that different groups of workers face different economic environments due to their employers.
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  • Working Paper

    Exploring the Hiring, Pay, and Trading Patterns of U.S. Firms: The Dominance of Multinationals Engaged in Related-Party Trade

    December 2024

    Working Paper Number:

    CES-24-77

    We link U.S. job records with both firm-level business register and customs records to construct a novel set of summary statistics and descriptive regressions that highlight the central role played by the small set of multinational firms (denoted RP XM firms) who engage in both importing and exporting with related parties in translating international trade shocks to shifts in labor demand. We find that RP XM firms 1) dominate trade volumes; 2) account for very disproportionate shares of national employment and payroll; 3) employ greater shares of workers in higher pay deciles; 4) disproportionately poach other firms' high paid workers; 5) offer higher raises to their existing workers. These hiring and pay patterns generally exist even among new RP XM firms, but strengthen with RP XM tenure, and continue to hold, albeit at smaller magnitudes, after conditioning on standard proxies for firm and worker productivity. Taken together, these findings reveal that RP XM status is a reliable proxy for the kind of firm that drives the initial labor market impacts of trade shocks, and that high paid workers are likely to be most directly exposed to such shocks.
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  • Working Paper

    Financing, Ownership, and Performance: A Novel, Longitudinal Firm-Level Database

    December 2024

    Working Paper Number:

    CES-24-73

    The Census Bureau's Longitudinal Business Database (LBD) underpins many studies of firm-level behavior. It tracks longitudinally all employers in the nonfarm private sector but lacks information about business financing and owner characteristics. We address this shortcoming by linking LBD observations to firm-level data drawn from several large Census Bureau surveys. The resulting Longitudinal Employer, Owner, and Financing (LEOF) database contains more than 3 million observations at the firm-year level with information about start-up financing, current financing, owner demographics, ownership structure, profitability, and owner aspirations ' all linked to annual firm-level employment data since the firm hired its first employee. Using the LEOF database, we document trends in owner demographics and financing patterns and investigate how these business characteristics relate to firm-level employment outcomes.
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  • Working Paper

    Revisions to the LEHD Establishment Imputation Procedure and Applications to Administrative Job Frame

    September 2024

    Working Paper Number:

    CES-24-51

    The Census Bureau is developing a 'job frame' to provide detailed job-level employment data across the U.S. through linked administrative records such as unemployment insurance and IRS W-2 filings. This working paper summarizes the research conducted by the job frame development team on modifying and extending the LEHD Unit-to-Worker (U2W) imputation procedure for the job frame prototype. It provides a conceptual overview of the U2W imputation method, highlighting key challenges and tradeoffs in its current application. The paper then presents four imputation methodologies and evaluates their performance in areas such as establishment assignment accuracy, establishment size matching, and job separation rates. The results show that all methodologies perform similarly in assigning workers to the correct establishment. Non-spell-based methodologies excel in matching establishment sizes, while spell-based methodologies perform better in accurately tracking separation rates.
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  • Working Paper

    Employer Dominance and Worker Earnings in Finance

    August 2024

    Authors: Wenting Ma

    Working Paper Number:

    CES-24-41

    Large firms in the U.S. financial system achieve substantial economic gains. Their dominance sets them apart while also raising concerns about the suppression of worker earnings. Utilizing administrative data, this study reveals that the largest financial firms pay workers an average of 30.2% more than their smallest counterparts, significantly exceeding the 7.9% disparity in nonfinance sectors. This positive size-earnings relationship is consistently more pronounced in finance, even during the 2008 crisis or compared to the hightech sector. Evidence suggests that large financial firms' excessive gains, coupled with their workers' sought-after skills, explain this distinct relationship.
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  • Working Paper

    Payroll Tax Incidence: Evidence from Unemployment Insurance

    June 2024

    Authors: Audrey Guo

    Working Paper Number:

    CES-24-35

    Economic models assume that payroll tax burdens fall fully on workers, but where does tax incidence fall when taxes are firm-specific and time-varying? Unemployment insurance in the United States has the key feature of varying both across employers and over time, creating the potential for labor demand responses if tax costs cannot be fully passed through to worker wages. Using state policy changes and administrative data of matched employer-employee job spells, I study how employment and earnings respond to unexpected payroll tax increases for highly exposed employers. I find significant drops in employment growth driven by lower hiring, and minimal evidence of passthrough to earnings. The negative employment effects are strongest for young workers and single-establishment firms.
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  • Working Paper

    U.S. Worker Mobility Across Establishments within Firms: Scope, Prevalence, and Effects on Worker Earnings

    May 2024

    Working Paper Number:

    CES-24-24

    Multi-establishment firms account for around 60% of U.S. workers' primary employers, providing ample opportunity for workers to change their work location without changing their employer. Using U.S. matched employer-employee data, this paper analyzes workers' access to and use of such between-establishment job transitions, and estimates the effect on workers' earnings growth of greater access, as measured by proximity of employment at other within-firm establishments. While establishment transitions are not perfectly observed, we estimate that within-firm establishment transitions account for 7.8% percent of all job transitions and 18.2% of transitions originating from the largest firms. Using variation in worker's establishment locations within their firms' establishment network, we show that having a greater share of the firm's jobs in nearby establishments generates meaningful increases in workers' earnings: a worker at the 90th percentile of earnings gains from more proximate within-firm job opportunities can expect to enjoy 2% higher average earnings over the following five years than a worker at the 10th percentile with the same baseline earnings.
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  • Working Paper

    Tracking Firm Use of AI in Real Time: A Snapshot from the Business Trends and Outlook Survey

    March 2024

    Working Paper Number:

    CES-24-16R

    Timely and accurate measurement of AI use by firms is both challenging and crucial for understanding the impacts of AI on the U.S. economy. We provide new, real-time estimates of current and expected future use of AI for business purposes based on the Business Trends and Outlook Survey for September 2023 to February 2024. During this period, bi-weekly estimates of AI use rate rose from 3.7% to 5.4%, with an expected rate of about 6.6% by early Fall 2024. The fraction of workers at businesses that use AI is higher, especially for large businesses and in the Information sector. AI use is higher in large firms but the relationship between AI use and firm size is non-monotonic. In contrast, AI use is higher in young firms. Common uses of AI include marketing automation, virtual agents, and data/text analytics. AI users often utilize AI to substitute for worker tasks and equipment/software, but few report reductions in employment due to AI use. Many firms undergo organizational changes to accommodate AI, particularly by training staff, developing new workflows, and purchasing cloud services/storage. AI users also exhibit better overall performance and higher incidence of employment expansion compared to other businesses. The most common reason for non-adoption is the inapplicability of AI to the business.
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  • Working Paper

    Low-Wage Jobs, Foreign-Born Workers, and Firm Performance

    January 2024

    Working Paper Number:

    CES-24-05

    We examine how migrant workers impact firm performance using administrative data from the United States. Exploiting an unexpected change in firms' likelihood of securing low-wage workers through the H-2B visa program, we find limited crowd-out of other forms of employment and no impact on average pay at the firm. Yet, access to H-2B workers raises firms' annual revenues and survival likelihood. Our results are consistent with the notion that guest worker programs can help address labor shortages without inflicting large losses on incumbent workers.
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