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Papers Containing Keywords(s): 'employ'

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Longitudinal Employer Household Dynamics - 132

Bureau of Labor Statistics - 100

North American Industry Classification System - 90

Longitudinal Business Database - 90

Current Population Survey - 85

Center for Economic Studies - 78

Internal Revenue Service - 71

National Science Foundation - 66

Standard Industrial Classification - 65

Ordinary Least Squares - 65

American Community Survey - 64

Census Bureau Disclosure Review Board - 62

Employer Identification Numbers - 61

Alfred P Sloan Foundation - 57

Social Security Administration - 49

Decennial Census - 48

Quarterly Census of Employment and Wages - 46

Quarterly Workforce Indicators - 44

Federal Statistical Research Data Center - 41

National Bureau of Economic Research - 38

Metropolitan Statistical Area - 35

Disclosure Review Board - 33

Census of Manufactures - 33

Annual Survey of Manufactures - 33

Business Register - 33

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 - 23

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

AKM - 19

Special Sworn Status - 19

Local Employment Dynamics - 19

University of Chicago - 19

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

NBER Summer Institute - 10

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

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

Patent and Trademark Office - 5

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

Department of State - 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

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

labor - 142

workforce - 142

employee - 108

worker - 75

earnings - 72

payroll - 66

recession - 65

hiring - 53

job - 52

salary - 45

economist - 44

econometric - 42

occupation - 39

employment growth - 36

hire - 36

unemployed - 36

entrepreneurship - 35

earner - 35

workplace - 33

earn - 33

endogeneity - 33

employment dynamics - 33

heterogeneity - 32

quarterly - 30

industrial - 30

employing - 29

estimating - 28

macroeconomic - 28

survey - 28

growth - 28

establishment - 28

tenure - 28

shift - 27

census employment - 26

entrepreneur - 25

layoff - 25

employment statistics - 25

manufacturing - 24

sector - 22

longitudinal - 22

entrepreneurial - 21

labor statistics - 21

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

minority - 12

proprietor - 12

trends employment - 12

export - 12

regress - 12

migrant - 12

work census - 12

rent - 12

opportunity - 12

employment count - 12

employer household - 12

hispanic - 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

housing - 10

resident - 10

worker wages - 10

ethnic - 10

manager - 10

wage data - 10

union - 10

socioeconomic - 9

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

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

black - 5

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

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 131 through 140 of 254


  • Working Paper

    The Promise and Potential of Linked Employer-Employee Data for Entrepreneurship Research

    September 2015

    Working Paper Number:

    CES-15-29

    In this paper, we highlight the potential for linked employer-employee data to be used in entrepreneurship research, describing new data on business start-ups, their founders and early employees, and providing examples of how they can be used in entrepreneurship research. Linked employer-employee data provides a unique perspective on new business creation by combining information on the business, workforce, and individual. By combining data on both workers and firms, linked data can investigate many questions that owner-level or firm-level data cannot easily answer alone - such as composition of the workforce at start-ups and their role in explaining business dynamics, the flow of workers across new and established firms, and the employment paths of the business owners themselves.
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  • Working Paper

    The Role of Establishments and the Concentration of Occupations in Wage Inequality

    September 2015

    Working Paper Number:

    CES-15-26

    This paper uses the microdata of the Occupational Employment Statistics (OES) Survey to assess the contribution of occupational concentration to wage inequality between establishments and its growth over time. We show that occupational concentration plays an important role in wage determination for workers, in a wide variety of occupations, and can explain some establishmentlevel wage variation. Occupational concentration is increasing during the 2000-2011 time period, although much of this change is explained by other observable establishment characteristics. Overall, occupational concentration can help explain a small amount of wage inequality growth between establishments during this time period.
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  • Working Paper

    Modeling Endogenous Mobility in Wage Determiniation

    June 2015

    Working Paper Number:

    CES-15-18

    We evaluate the bias from endogenous job mobility in fixed-effects estimates of worker- and firm-specific earnings heterogeneity using longitudinally linked employer-employee data from the LEHD infrastructure file system of the U.S. Census Bureau. First, we propose two new residual diagnostic tests of the assumption that mobility is exogenous to unmodeled determinants of earnings. Both tests reject exogenous mobility. We relax the exogenous mobility assumptions by modeling the evolution of the matched data as an evolving bipartite graph using a Bayesian latent class framework. Our results suggest that endogenous mobility biases estimated firm effects toward zero. To assess validity, we match our estimates of the wage components to out-of-sample estimates of revenue per worker. The corrected estimates attribute much more of the variation in revenue per worker to variation in match quality and worker quality than the uncorrected estimates.
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  • Working Paper

    Labor Market Networks and Recovery from Mass Layoffs Before, During, and After the Great Recession

    June 2015

    Working Paper Number:

    CES-15-14

    We test the effects of labor market networks defined by residential neighborhoods on re-employment following mass layoffs. We develop two measures of labor market network strength. One captures the flows of information to job seekers about the availability of job vacancies at employers of workers in the network, and the other captures referrals provided to employers by other network members. These network measures are linked to more rapid re-employment following mass layoffs, and to re-employment at neighbors' employers. We also find evidence that network connections ' especially those that provide information about job vacancies ' became less productive during the Great Recession.
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  • Working Paper

    Cyclical Reallocation of Workers Across Employers by Firm Size and Firm Wage

    June 2015

    Working Paper Number:

    CES-15-13

    Do the job-to-job moves of workers contribute to the cyclicality of employment growth at different types of firms? In this paper, we use linked employer-employee data to provide direct evidence on the role of job-to-job flows in job reallocation in the U.S. economy. To guide our analysis, we look to the theoretical literature on on-the-job search, which predicts that job-to-job flows should reallocate workers from small to large firms. While this prediction is not supported by the data, we do find that job-to-job moves generally reallocate workers from lower paying to higher paying firms, and this reallocation of workers is highly procyclical. During the Great Recession, this firm wage job ladder collapsed, with net worker reallocation to higher wage firms falling to zero. We also find that differential responses of net hires from non-employment play an important role in the patterns of the cyclicality of employment dynamics across firms classified by size and wage. For example, we find that small and low wage firms experience greater reductions in net hires from non-employment during periods of economic contractions.
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  • Working Paper

    Storms and Jobs: The Effect of Hurricanes on Individuals' Employment and Earnings over the Long Term*

    January 2015

    Working Paper Number:

    CES-15-21R

    Hurricanes Katrina and Rita devastated the U.S. Gulf Coast in 2005, destroying homes and businesses and causing mass evacuations. The economic effects of disasters are often studied at a regional level, but little is known about the responsiveness of individuals' employment and earnings to the damages, disruption, and rebuilding'particularly in the longer run. Our analysis is based on data that tracks workers over nine years, including seven years after the storms. We estimate models that compare the evolution of earnings for workers who resided in a storm-affected area with those who resided in a suitable control counties. We find that, on average, the storms reduced the earnings of affected individuals during the first year after the storm. These losses reflect various aspects of the short-run disruption caused by the hurricanes, including job separations, migration to other areas, and business contractions. Starting in the third year after the storms, however, we find that the earnings of affected individuals outpaced the earnings of individuals in the control sample. We provide evidence that the long-term earnings gains were the result of wage growth in the affected areas relative to the control areas, due to reduced labor supply and increased labor demand, especially in sectors related to rebuilding. Despite the short-term earnings losses, we find a net increase in average quarterly earnings among affected individuals over the entire post-storm period. However, those who worked in sectors closely tied to tourism or the size of the local population experienced net earnings losses.
    View Full Paper PDF
  • Working Paper

    Who Works for Whom? Worker Sorting in a Model of Entrepreneurship with Heterogeneous Labor Markets

    January 2015

    Working Paper Number:

    CES-15-08R

    Young and small firms are typically matched with younger and nonemployed individuals, and they provide these workers with lower earnings compared to other firms. To explore the mechanisms behind these facts, a dynamic model of entrepreneurship is introduced, where individuals can choose not to work, become entrepreneurs, or work in one of the two sectors: corporate or entrepreneurial. The differences in production technology, financial constraints, and labor market frictions lead to sector-specific wages and worker sorting across the two sectors. Individuals with lower assets tend to accept lower-paying jobs in the entrepreneurial sector, an implication that finds support in the data. The effect on the entrepreneurial sector of changes in key parameters is also studied to explore some channels that may have contributed to the decline of entrepreneurship in the United States.
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  • Working Paper

    The Recent Decline of Single Quarter Jobs

    January 2015

    Working Paper Number:

    CES-15-05

    Rates of hiring and job separation fell by as much as a third in the U.S. between the late 1990s and the early 2010s. Half of this decline is associated with the declining incidence of jobs that start and end in the same calendar quarter, employment events that we call 'single quarter jobs.' We investigate this unique subset of jobs and its decline using matched employer-employee data for the years 1996-2012. We characterize the worker demographics and employer characteristics of single quarter jobs, and demonstrate that changes over time in workforce and employer composition explain little of the decline in these jobs. We find that the decline in these jobs accounts for about a third of the decline in the fraction of the population that holds a job in the private sector that occurred from the mid 2000s to the early 2010s. We also find little evidence that single quarter jobs are stepping stones into longer-term employment. Finally, we show that the inclusion or exclusion of these single quarter jobs creates divergent trends in average earnings and the dispersion of earnings for the years 1996-2012. To the extent that administrative records measure the volatile tail of the employment distribution better thanconventional household surveys, these findings show that measurement of short duration jobs matters for economic analysis.
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  • Working Paper

    Slow to Hire, Quick to Fire: Employment Dynamics with Asymmetric Responses to News

    January 2015

    Working Paper Number:

    CES-15-02

    We study the distribution of employment growth when hiring responds more to bad shocks than to good shocks. Such a concave hiring rule endogenously generates higher moments observed in establishment-level Census data for both the cross section and the time series. In particular, both aggregate conditional volatility ("macro-volatility") and the cross-sectional dispersion of employment growth ("micro-volatility") are countercyclical. Moreover, employment growth is negatively skewed in the cross section and time series, while TFP is not. The estimated response of employment growth to TFP innovations is su ciently concave to induce signi cant skewness as well as movements in volatility of employment growth.
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  • Working Paper

    UNEMPLOYMENT DURATION AND GEOGRAPHIC MOBILITY: DO MOVERS FARE BETTER THAN STAYERS?

    October 2014

    Working Paper Number:

    CES-14-41

    This study uses a sample of unemployed workers constructed from the American Community Survey and the LEHD database, to compare the unemployment durations of those who find subsequent employment by relocating to a metropolitan area outside of their originally observed residence, versus those who find employment in their original location. Results from a hazard analysis confirm the importance of many of the determinants of migration posited in the literature, such as age, education, and local labor market conditions. While simple averages and OLS estimates indicate that migrating for a new job reduces the probability of re-employment within a given time frame and lengthens the spell of unemployment in the aggregate, after controlling for selection into migration using an IV approach based on local house price changes, the results suggest that out-migrating for employment actually has a large and significant beneficial effect of shortening the time to re-employment. This implies that those who migrate for jobs in the data may be particularly disadvantaged in their ability to find employment and thus have a strong short-term incentive to relocate.
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