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Papers Containing Keywords(s): 'employ'

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Longitudinal Employer Household Dynamics - 131

Bureau of Labor Statistics - 99

Longitudinal Business Database - 90

North American Industry Classification System - 89

Current Population Survey - 85

Center for Economic Studies - 77

Internal Revenue Service - 71

National Science Foundation - 66

Standard Industrial Classification - 65

Ordinary Least Squares - 65

American Community Survey - 64

Employer Identification Numbers - 61

Census Bureau Disclosure Review Board - 61

Alfred P Sloan Foundation - 56

Social Security Administration - 49

Decennial Census - 47

Quarterly Census of Employment and Wages - 46

Quarterly Workforce Indicators - 44

Federal Statistical Research Data Center - 40

National Bureau of Economic Research - 38

Metropolitan Statistical Area - 34

Census of Manufactures - 33

Annual Survey of Manufactures - 33

Business Register - 33

Disclosure Review Board - 32

Social Security - 32

Unemployment Insurance - 31

Protected Identification Key - 30

Federal Reserve Bank - 29

Chicago Census Research Data Center - 29

Bureau of Economic Analysis - 28

Survey of Income and Program Participation - 27

International Trade Research Report - 26

Department of Labor - 25

Cornell University - 25

Social Security Number - 25

Economic Census - 22

Census Bureau Business Register - 22

Longitudinal Research Database - 22

Standard Statistical Establishment List - 22

Individual Characteristics File - 21

Total Factor Productivity - 21

LEHD Program - 21

County Business Patterns - 20

Census Bureau Longitudinal Business Database - 20

Special Sworn Status - 19

Local Employment Dynamics - 19

University of Chicago - 19

AKM - 18

W-2 - 18

Research Data Center - 18

Business Dynamics Statistics - 17

National Institute on Aging - 17

PSID - 17

Federal Reserve System - 16

Employment History File - 15

Census of Manufacturing Firms - 15

Employer Characteristics File - 14

2010 Census - 13

Employer-Household Dynamics - 13

Occupational Employment Statistics - 13

National Longitudinal Survey of Youth - 13

University of Maryland - 13

Herfindahl Hirschman Index - 12

Cornell Institute for Social and Economic Research - 12

Financial, Insurance and Real Estate Industries - 12

American Economic Review - 12

Core Based Statistical Area - 11

Retail Trade - 11

Business Register Bridge - 11

Wholesale Trade - 10

Standard Occupational Classification - 10

Technical Services - 10

Department of Homeland Security - 10

Office of Personnel Management - 10

Successor Predecessor File - 10

Organization for Economic Cooperation and Development - 10

Journal of Labor Economics - 10

Journal of Economic Literature - 10

Master Address File - 9

National Employer Survey - 9

NBER Summer Institute - 9

Census Numident - 9

Business Employment Dynamics - 9

Russell Sage Foundation - 9

Board of Governors - 9

Council of Economic Advisers - 8

Accommodation and Food Services - 8

Agriculture, Forestry - 8

Integrated Longitudinal Business Database - 8

Department of Economics - 8

National Center for Health Statistics - 8

Sloan Foundation - 8

Person Validation System - 8

Columbia University - 8

American Economic Association - 8

Kauffman Foundation - 8

Department of Defense - 8

Sample Edited Detail File - 8

Small Business Administration - 7

Survey of Business Owners - 7

Integrated Public Use Microdata Series - 7

Composite Person Record - 7

Department of Health and Human Services - 7

University of Michigan - 7

Nonemployer Statistics - 7

Michigan Institute for Teaching and Research in Economics - 7

Office of Management and Budget - 7

Business Services - 7

Labor Turnover Survey - 7

JOLTS - 7

National Income and Product Accounts - 7

Service Annual Survey - 7

North American Industry Classi - 7

Census Bureau Business Dynamics Statistics - 7

Journal of Political Economy - 7

1940 Census - 7

Annual Business Survey - 6

Educational Services - 6

Arts, Entertainment - 6

Oil and Gas Extraction - 6

World Trade Organization - 6

COVID-19 - 6

Professional Services - 6

New York University - 6

IQR - 6

Company Organization Survey - 6

CDF - 6

Cumulative Density Function - 6

Ohio State University - 6

Health Care and Social Assistance - 6

Urban Institute - 6

National Establishment Time Series - 6

Geographic Information Systems - 6

Bureau of Labor - 6

IZA - 6

Society of Labor Economists - 6

Detailed Earnings Records - 6

Quarterly Journal of Economics - 6

Hypothesis 2 - 6

Current Employment Statistics - 6

New York Times - 6

BLS Handbook of Methods - 6

Characteristics of Business Owners - 6

Consolidated Metropolitan Statistical Areas - 6

Permanent Plant Number - 6

WECD - 6

North American Free Trade Agreement - 5

Ewing Marion Kauffman Foundation - 5

LODES - 5

Department of Education - 5

Stanford University - 5

Legal Form of Organization - 5

Census Bureau Center for Economic Studies - 5

Department of Housing and Urban Development - 5

MIT Press - 5

Center for Research in Security Prices - 5

Public Administration - 5

Harvard University - 5

Review of Economics and Statistics - 5

Business Master File - 5

American Housing Survey - 5

Labor Productivity - 5

NICHD - 5

American Statistical Association - 5

Duke University - 5

Postal Service - 5

Generalized Method of Moments - 5

Public Use Micro Sample - 5

Department of Commerce - 5

Form W-2 - 4

VAR - 4

University of Texas - 4

Multiple Worksite Report - 4

University of Toronto - 4

Harmonized System - 4

Social Security Disability Insurance - 4

Federal Emergency Management Agency - 4

Princeton University - 4

Cobb-Douglas - 4

Indian Health Service - 4

National Institutes of Health - 4

Patent and Trademark Office - 4

Retirement History Survey - 4

Medical Expenditure Panel Survey - 4

Federal Tax Information - 4

DOB - 4

Agency for Healthcare Research and Quality - 4

Center for Administrative Records Research - 4

Personally Identifiable Information - 4

Federal Reserve Board of Governors - 4

Pew Research Center - 4

Housing and Urban Development - 4

LEHD Origin-Destination Employment Statistics - 4

ASEC - 4

Census 2000 - 4

Initial Public Offering - 4

University of California Los Angeles - 4

SSA Numident - 4

Journal of Economic Perspectives - 4

Social and Economic Supplement - 4

Department of Agriculture - 4

Journal of Econometrics - 4

Heckscher-Ohlin - 4

Limited Liability Company - 3

Maximum Likelihood Estimation - 3

Department of Energy - 3

MAF-ARF - 3

United States Census Bureau - 3

Federal Trade Commission - 3

Department of Justice - 3

Boston College - 3

Longitudinal Firm Trade Transactions Database - 3

Kauffman Firm Survey - 3

Person Identification Validation System - 3

Research and Development - 3

Securities and Exchange Commission - 3

Probability Density Function - 3

Data Management System - 3

Federal Insurance Contribution Act - 3

Journal of Human Resources - 3

Disability Insurance - 3

2SLS - 3

UC Berkeley - 3

American Immigration Council - 3

Current Population Survey Annual Social and Economic Supplement - 3

HHS - 3

Census Industry Code - 3

Federal Reserve Bank of Chicago - 3

Supreme Court - 3

World Bank - 3

Census of Services - 3

Boston Research Data Center - 3

Cambridge University Press - 3

Survey of Manufacturing Technology - 3

employed - 158

workforce - 142

labor - 141

employee - 108

worker - 75

earnings - 72

payroll - 66

recession - 65

job - 52

hiring - 52

salary - 45

economist - 44

econometric - 42

occupation - 39

unemployed - 36

employment growth - 35

hire - 35

earner - 34

entrepreneurship - 34

workplace - 33

earn - 33

endogeneity - 33

employment dynamics - 33

heterogeneity - 31

quarterly - 30

industrial - 30

employing - 29

estimating - 28

macroeconomic - 28

survey - 28

growth - 28

establishment - 28

tenure - 28

shift - 27

census employment - 26

layoff - 25

employment statistics - 25

entrepreneur - 24

manufacturing - 24

sector - 22

longitudinal - 22

labor statistics - 21

entrepreneurial - 20

metropolitan - 20

labor markets - 18

venture - 18

turnover - 18

incentive - 17

longitudinal employer - 17

discrimination - 16

census bureau - 16

market - 16

employment estimates - 16

production - 16

estimates employment - 15

economically - 15

employment data - 15

employee data - 15

employment wages - 15

unemployment rates - 14

expenditure - 14

gdp - 14

econometrician - 14

immigrant - 14

proprietorship - 14

bias - 14

agency - 13

trend - 13

employment trends - 13

compensation - 13

relocation - 13

enterprise - 13

organizational - 13

ethnicity - 13

trends employment - 12

export - 12

regress - 12

migrant - 12

work census - 12

rent - 12

opportunity - 12

employment count - 12

employer household - 12

minority - 11

proprietor - 11

industry employment - 11

specialization - 11

immigration - 11

statistical - 11

report - 11

spillover - 11

workers earnings - 11

wage growth - 11

retirement - 11

estimation - 11

segregation - 11

mobility - 11

aging - 11

revenue - 10

earnings employees - 10

respondent - 10

research census - 10

recessionary - 10

effect wages - 10

employment earnings - 10

acquisition - 10

hispanic - 10

housing - 10

resident - 10

worker wages - 10

ethnic - 10

manager - 10

wage data - 10

union - 10

earnings workers - 9

exogeneity - 9

unobserved - 9

relocate - 9

employment effects - 9

company - 9

endogenous - 9

demand - 9

industry wages - 9

insurance - 9

residential - 9

residence - 9

state - 9

matching - 9

finance - 9

employment unemployment - 9

employment changes - 9

economic census - 9

disparity - 8

employment declines - 8

profit - 8

socioeconomic - 8

wage earnings - 8

career - 8

impact employment - 8

migration - 8

data census - 8

population - 8

effects employment - 8

worker demographics - 8

employment production - 8

woman - 8

geographically - 8

neighborhood - 8

productivity growth - 8

technological - 8

earnings growth - 8

educated - 8

wage industries - 8

workforce indicators - 8

disadvantaged - 8

wages employment - 8

racial - 7

decline - 7

wage variation - 7

employment firms - 7

employment increases - 7

employment distribution - 7

migrate - 7

employment flows - 7

efficiency - 7

census data - 7

investment - 7

decade - 7

job growth - 7

city - 7

increase employment - 7

innovation - 7

sale - 7

associate - 7

wage changes - 7

accounting - 7

aggregate - 7

employment measures - 7

recession employment - 7

poverty - 7

state employment - 7

wage regressions - 7

rates employment - 7

clerical - 7

labor productivity - 7

declining - 6

irs - 6

regressing - 6

welfare - 6

shock - 6

moving - 6

regional - 6

startup - 6

growth employment - 6

employment entrepreneurship - 6

immigrant workers - 6

prospect - 6

coverage - 6

earnings inequality - 6

pension - 6

microdata - 6

unemployment insurance - 6

wage differences - 6

rural - 6

merger - 6

department - 6

earnings mobility - 6

data - 6

restructuring - 6

discriminatory - 5

analyst - 5

regression - 5

migrating - 5

multinational - 5

paper census - 5

censuses surveys - 5

employed census - 5

startups employees - 5

enrollment - 5

import - 5

exporter - 5

ownership - 5

wealth - 5

home - 5

insured - 5

graduate - 5

refugee - 5

debt - 5

race - 5

federal - 5

productivity wage - 5

medicaid - 5

filing - 5

econometrically - 5

firms grow - 5

firm dynamics - 5

firms employment - 5

native - 5

firms young - 5

measures employment - 5

wages production - 5

employment recession - 5

bankruptcy - 5

heterogeneous - 5

relocating - 5

financial - 5

mexican - 5

factory - 5

white - 5

tax - 4

measures productivity - 4

information census - 4

monopolistic - 4

benefit - 4

autoregressive - 4

international trade - 4

nonemployer businesses - 4

urban - 4

growth productivity - 4

transition - 4

impact - 4

advancement - 4

insurance employer - 4

analysis - 4

statistician - 4

financing - 4

executive - 4

productive - 4

saving - 4

model - 4

coverage employer - 4

disability - 4

wage effects - 4

founder - 4

younger firms - 4

earnings age - 4

gender - 4

record - 4

citizen - 4

startup firms - 4

census research - 4

leverage - 4

wages productivity - 4

discrepancy - 4

inference - 4

sociology - 4

corporate - 4

segregated - 4

black - 4

technology - 4

census business - 3

2010 census - 3

midwest - 3

forecast - 3

applicant - 3

immigrant entrepreneurs - 3

assimilation - 3

percentile - 3

assessed - 3

preschool - 3

wage gap - 3

earnings gap - 3

takeover - 3

wholesale - 3

employees startups - 3

subsidy - 3

industry heterogeneity - 3

exporting - 3

exporters multinationals - 3

warehousing - 3

outsourced - 3

renter - 3

town - 3

suburb - 3

commute - 3

researcher - 3

funding - 3

firms census - 3

industry concentration - 3

medicare - 3

healthcare - 3

health insurance - 3

insurance premiums - 3

estimator - 3

earns - 3

women earnings - 3

managerial - 3

industry variation - 3

ssa - 3

area - 3

volatility - 3

imputation - 3

gain - 3

profitability - 3

trends labor - 3

census file - 3

geographic - 3

household surveys - 3

use census - 3

fiscal - 3

trade models - 3

firms plants - 3

capital - 3

network - 3

matched - 3

immigrant population - 3

produce - 3

plant employment - 3

firm growth - 3

characteristics businesses - 3

owned businesses - 3

tech - 3

owner - 3

plants industry - 3

factor productivity - 3

Viewing papers 61 through 70 of 253


  • Working Paper

    Female Executives and the Motherhood Penalty

    January 2021

    Working Paper Number:

    CES-21-03

    Childbirth and subsequent breaks from the labor market are a primary reason why the average earnings of women is lower than that of men. This paper uses linked survey and administrative data from the United States to investigate whether the sex composition of executives at the firm, defined as the top earners, affects the earnings and employment outcomes of new mothers. We begin by documenting that (i) the male-female earnings gap is smaller in industries in which a larger share of executives are women, and (ii) the male-female earnings gap has declined more in industries that have experienced larger increases in the share of executives who are female. Despite these cross-sectional and longitudinal correlations, we find no evidence that the sex composition of the executives at the firm has a causal effect on the childbirth and motherhood penalties that impact women's earnings and employment.
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  • Working Paper

    Immigration and Entrepreneurship in the United States

    December 2020

    Working Paper Number:

    CES-20-44

    Immigrants can expand labor supply and compete for jobs with native-born workers. But immigrants may also start new firms, expanding labor demand. This paper uses U.S. administrative data and other data sources to study the role of immigrants in entrepreneurship. We ask how often immigrants start companies, how many jobs these firms create, and how firms founded by native-born individuals compare. A simple model provides a measurement framework for addressing the dual roles of immigrants as founders and workers. The findings suggest that immigrants act more as 'job creators' than 'job takers' and play outsized roles in U.S. high-growth entrepreneurship.
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  • Working Paper

    The Children of HOPE VI Demolitions: National Evidence on Labor Market Outcomes

    November 2020

    Working Paper Number:

    CES-20-39

    We combine national administrative data on earnings and participation in subsidized housing to study how the demolition of 160 public housing projects'funded by the HOPE VI program'affected the adult labor market outcomes for 18,500 children. Our empirical strategy compares children exposed to the program to children drawn from thousands of non-demolished projects, adjusting for observable differences using a flexible estimator that combines features of matching and regression. We find that children who resided in HOPE VI projects earn 14% more at age 26 relative to children in comparable non-HOPE VI projects. These earnings gains are strongest for demolitions in large cities, particularly in neighborhoods with higher pre-demolition poverty rates and lower pre-demolition job accessibility. There is no evidence that the labor market gains are driven by improvements in household or neighborhood environments that promote human capital development in children. Rather, subsequent improvements in job accessibility represent a likely pathway for the results.
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  • Working Paper

    Twisting the Demand Curve: Digitalization and the Older Workforce

    November 2020

    Working Paper Number:

    CES-20-37

    This paper uses U.S. Census Bureau panel data that link firm software investment to worker earnings. We regress the log of earnings of workers by age group on the software investment by their employing firm. To unpack the potential causal factors for differential software effects by age group we extend the AKM framework by including job-spell fixed effects that allow for a correlation between the worker-firm match and age and by including time-varying firm effects that allow for a correlation between wage-enhancing productivity shocks and software investments. Within job-spell, software capital raises earnings at a rate that declines post age 50 to about zero after age 65. By contrast, the effects of non-IT equipment investment on earnings increase for workers post age 50. The difference between the software and non-IT equipment effects suggests that our results are attributable to the technology rather than to age-related bargaining power. Our data further show that software capital increases the earnings of high-wage workers relative to low-wage workers and the earnings in high-wage firms relative to low-wage firms, and may thus widen earnings inequality within and across firms.
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  • Working Paper

    Male Earnings Volatility in LEHD before, during, and after the Great Recession

    September 2020

    Working Paper Number:

    CES-20-31

    This paper is part of a coordinated collection of papers on prime-age male earnings volatility. Each paper produces a similar set of statistics for the same reference population using a different primary data source. Our primary data source is the Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) infrastructure files. Using LEHD data from 1998 to 2016, we create a well-defined population frame to facilitate accurate estimation of temporal changes comparable to designed longitudinal samples of people. We show that earnings volatility, excluding increases during recessions, has declined over the analysis period, a finding robust to various sensitivity analyses. Although we find volatility is declining, the effect is not homogeneous, particularly for workers with tenuous labor force attachment for whom volatility is increasing. These 'not stable' workers have earnings volatility approximately 30 times larger than stable workers, but more important for earnings volatility trends we observe a large increase in the share of stable employment from 60% in 1998 to 67% in 2016, which we show to largely be responsible for the decline in overall earnings volatility. To further emphasize the importance of not stable and/or low earning workers we also conduct comparisons with the PSID and show how changes over time in the share of workers at the bottom tail of the cross-sectional earnings distributions can produce either declining or increasing earnings volatility trends.
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  • Working Paper

    Total Error and Variability Measures for the Quarterly Workforce Indicators and LEHD Origin Destination Employment Statistics in OnTheMap

    September 2020

    Working Paper Number:

    CES-20-30

    We report results from the first comprehensive total quality evaluation of five major indicators in the U.S. Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) Program Quarterly Workforce Indicators (QWI): total flow-employment, beginning-of-quarter employment, full quarter employment, average monthly earnings of full-quarter employees, and total quarterly payroll. Beginning-of-quarter employment is also the main tabulation variable in the LEHD Origin-Destination Employment Statistics (LODES) workplace reports as displayed in On-TheMap (OTM), including OnTheMap for Emergency Management. We account for errors due to coverage; record-level non response; edit and imputation of item missing data; and statistical disclosure limitation. The analysis reveals that the five publication variables under study are estimated very accurately for tabulations involving at least 10 jobs. Tabulations involving three to nine jobs are a transition zone, where cells may be fit for use with caution. Tabulations involving one or two jobs, which are generally suppressed on fitness-for-use criteria in the QWI and synthesized in LODES, have substantial total variability but can still be used to estimate statistics for untabulated aggregates as long as the job count in the aggregate is more than 10.
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  • Working Paper

    Family-Leave Mandates and Female Labor at U.S. Firms: Evidence from a Trade Shock

    September 2020

    Working Paper Number:

    CES-20-25

    We study the role of family-leave mandates in shaping the gender composition at U.S. firms that experience a negative demand shock. In a regression discontinuity framework, we compare firms mandated to provide job-protected leave under the Family and Medical Leave Act (FMLA) and firms that are exempt from the law (non-FMLA) following the post-2001 surge in Chinese imports. Using confidential microdata on matched employers and employees in the U.S. non-farm private sector, we find that between 2000 and 2003, an increase in import competition decreases the share of female workers at FMLA compared to non-FMLA firms. The negative differential effect is driven by female workers in prime childbearing years, with less than college education, and is strongest at firms with all male managers. We find similar patterns in changes in the female share of earnings and promotions. These results suggest that, when traditional gender norms prevail, adverse shocks may exacerbate gender inequalities in the presence of job-protected leave mandates.
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  • Working Paper

    Trends in Earnings Volatility using Linked Administrative and Survey Data

    August 2020

    Working Paper Number:

    CES-20-24

    We document trends in earnings volatility separately by gender in combination with other characteristics such as race, educational attainment, and employment status using unique linked survey and administrative data for the tax years spanning 1995-2015. We also decompose the variance of trend volatility into within- and between-group contributions, as well as transitory and permanent shocks. Our results for continuously working men suggest that trend earnings volatility was stable over our period in both survey and tax data, though with a substantial countercyclical business-cycle component. Trend earnings volatility among women declined over the period in both survey and administrative data, but unlike for men, there was no change over the Great Recession. The variance decompositions indicate that nonresponders, low-educated, racial minorities, and part-year workers have the greatest group specific earnings volatility, but with the exception of part-year workers, they contribute least to the level and trend of volatility owing to their small share of the population. There is evidence of stable transitory volatility, but rising permanent volatility over the past two decades in male and female earnings.
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  • Working Paper

    The Impact of 2010 Decennial Census Hiring on the Unemployment Rate

    June 2020

    Working Paper Number:

    CES-20-19

    The decennial census is the largest peacetime operation of the U.S. federal government. The Census Bureau hires hundreds of thousands of temporary workers to conduct the decennial census. The magnitude of this temporary workforce influences the national employment situation when enumeration efforts ramp up and when they recede. The impact of decennial census hiring on the headline number of payroll jobs added each month is well established, but previous work has not established how decennial census hiring affects the headline unemployment rate. We link the 2010 Decennial Applicant Personnel and Payroll System data to the 2010 American Community Survey to answer this question. We find that the large hiring surge in May 2010 came mostly from people already employed (40 percent) or from people who were unemployed (33 percent). We estimate that the workers hired for Census 2010 lowered the May 2010 unemployment rate by one-tenth of a percentage point relative to the counterfactual. This one-tenth of a percentage point is within the standard error for the official unemployment rate, and BLS press releases would denote a change in the unemployment rate of 0.1% or less as 'unchanged.' We also estimate that relative to the counterfactual, the more gradual changes in decennial census employment influenced the unemployment rate by less than one-tenth of a percentage point in every other month during 2010.
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  • Working Paper

    Does Goliath Help David? Anchor Firms and Startup Clusters

    May 2020

    Authors: Rahul R. Gupta

    Working Paper Number:

    CES-20-17

    This paper investigates the effects of a large firm's geographical expansion (anchor firm) on local worker transitions into young firms through wage effects in industries economically proximate to the anchor firm. Using hand-collected data matched to administrative Census microdata, I exploit anchor firms' site selection processes to employ a difference-in-differences approach to compare workers in winning counties to those in counterfactual counties. The arrival of an anchor firm induces worker reallocation towards young firms in industries linked through input-output channels by a magnitude of 120 new businesses that account for approximately 2,300 jobs. Consistent with the literature in personnel and organizational economics, incumbent firms experiencing the fastest wage growth due to these shocks shed mid-layer employees who select into young firms within the county and in their own industry of experience. These effects are strongest in the most specialized and knowledge-intensive industries. Attracting an anchor firm to a county appears to have limited spillover effects in overall employment that are mainly driven by reorganization of incumbent firms in the anchor's input-output industries that face rising labor costs.
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