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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 111 through 120 of 254


  • Working Paper

    Public-Use vs. Restricted-Use: An Analysis Using the American Community Survey

    January 2017

    Working Paper Number:

    CES-17-12

    Statistical agencies frequently publish microdata that have been altered to protect confidentiality. Such data retain utility for many types of broad analyses but can yield biased or Insufficiently precise results in others. Research access to de-identified versions of the restricted-use data with little or no alteration is often possible, albeit costly and time-consuming. We investigate the the advantages and disadvantages of public-use and restricted-use data from the American Community Survey (ACS) in constructing a wage index. The public-use data used were Public Use Microdata Samples, while the restricted-use data were accessed via a Federal Statistical Research Data Center. We discuss the advantages and disadvantages of each data source and compare estimated CWIs and standard errors at the state and labor market levels.
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  • Working Paper

    Labor Reallocation, Employment, and Earnings: Vector Autoregression Evidence

    January 2017

    Working Paper Number:

    CES-17-11R

    Analysis of the labor market has given increasing attention to the reallocation of jobs across employers and workers across jobs. However, whether and how job reallocation and labor market 'churn' affects the health of the labor market remains an open question. In this paper, we present time series evidence for the U.S. 1993-2013 and consider the relationship between labor reallocation, employment, and earnings using a vector autoregression (VAR) framework. We find that an increase in labor market churn by 1 percentage point predicts that, in the next quarter, employment will increase by 100 to 560 thousand jobs, lowering the unemployment rate by 0.05 to 0.25 percentage points. Job destruction does not predict future changes in employment but a 1 percentage point increase in job destruction leads to an increase in future unemployment 0.14 to 0.42 percentage points. We find mixed results on the relationship between labor reallocation rates and earnings: we nd that, especially for earnings derived from administrative records data, a 1 percentage point increase to either job destruction or churn leads to increased earnings of less than 2 percent. Results vary substantially depending on the earnings measure we use, and so the evidence inconsistent on whether productivity-enhancing aspects of churn and job destruction provide earnings gains for workers in aggregate. Our findings on churn leading to increased employment and a lower unemployment rate are consistent with models of replacement hiring and vacancy chains.
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  • Working Paper

    Job-to-Job Flows and Earnings Growth*

    January 2017

    Working Paper Number:

    CES-17-08

    The U.S. workforce has had little change in real wages, income, or earnings since the year 2000. However, even when there is little change in the average rate at which workers are compensated, individual workers experienced a distribution of wage and earnings changes. In this paper, we demonstrate how earnings evolve in the U.S. economy in the years 2001-2014 on a forthcoming dataset on earnings for stayers and transitioners from the U.S. Census Bureau's Job-to-Job Flows data product to account for the role of on-the-job earnings growth, job-to-job flows, and nonemployment in the growth of U.S. earnings.
    View Full Paper PDF
  • Working Paper

    Differences in Self-employment Duration by Year of Entry & Pre-entry

    November 2016

    Working Paper Number:

    carra-2016-09

    Self-employment is associated with entrepreneurship and a motivation to pursue an opportunity. Previous research indicates that people also become self-employed because of limited opportunities in the wage sector. Using a unique set of data that links the American Community Survey to Form 1040 and W-2 records, this paper extends the existing literature by examining self-employment duration for five consecutive entry cohorts, including two cohorts who entered self-employment during the Great Recession. Severely limited labor market opportunities may have driven many in the recession cohorts to enter self-employment, while those entering self-employment during the boom may have been pursuing opportunities under favorable market conditions. To more explicitly test the concept of "necessity" versus "opportunity" self-employment, we also examine the pre-entry wage labor attachment of entrants. Specifically, we ask whether an association exists between wage labor attachment and the duration of self-employment. We also explore whether the demographic/socio-economic characteristics and self-employment exit behavior of the cohorts are different, and if so, how. We find evidence consistent with the existence of "necessity" vs. "opportunity" self-employment types.
    View Full Paper PDF
  • Working Paper

    The New Lifecycle of Women's Employment: Disappearing Humps, Sagging Middle, Expanding Tops

    November 2016

    Working Paper Number:

    carra-2016-07

    The new lifecycle of women's employment is initially high and flat, there is a dip in the middle and a phasing out that is more prolonged than for previous cohorts. The hump is gone, the middle is a bit sagging and the top has greatly expanded. We explore the increase in cumulative work experience for women from the 1930s to the 1970s birth cohorts using the SIPP and the HRS. We investigate the changing labor force impact of a birth event across cohorts and by education and also the impact of taking leave or quitting. We find greatly increased labor force experience across cohorts, far less time out after a birth and greater labor force recovery for those who take paid or unpaid leave. More work experience across the lifecycle is related to the increased employment of women in their older ages.
    View Full Paper PDF
  • Working Paper

    Measuring the Effects of the Tipped Minimum Wage Using W-2 Data

    June 2016

    Authors: Maggie R. Jones

    Working Paper Number:

    carra-2016-03

    While an extensive literature exists on the effects of federal and state minimum wages, the minimum wage received by tipped workers has received less attention. Researchers have found it difficult to capture the hourly wages of tipped workers and thus assess the economic effects of the tipped minimum wage. In this paper, I present a new measure of hourly wages for tipped servers (wait staff and bartenders) using linked W-2 and survey data. I estimate the effect of tipped minimum wages on the wages and hourly tips of servers, as well as server employment and hours worked. I find that higher mandatory tipped minimum wages increase that portion of wages paid by employers, but decrease tip income by a similar percentage. I also find evidence that employment increases over lower values of the tipped minimum wage and then decreases at higher values. These results are consistent with a monopsony model of server employment. The wide variance of tipped minimum wages compared to non-tipped minimums provide insight into monopsony effects that may not be discernible over a smaller range of minimum wage values.
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  • Working Paper

    State and Local Determinants of Employment Outcomes among Individuals with Disabilities

    March 2016

    Working Paper Number:

    CES-16-21

    In the United States, employment rates among individuals with disabilities are persistently low but vary substantially. In this study, we examine the relationship between employment outcomes and features of the state and county physical, economic, and policy environment among a national sample of individuals with disabilities. To do so, we merge a set of state- and county-level environmental variables with data from the 2009'2011 American Community Survey accessed in a U.S. Census Research Data Center. We estimate regression models of employment, work hours, and earnings as a function of health conditions, personal characteristics, and these environmental features. We find that certain environmental variables are significantly associated with employment outcomes. Although the estimated importance of environmental variables is small relative to individual health and personal characteristics, our results suggest that these variables may present barriers or facilitators to employment that can explain some geographic variation in employment outcomes across the United States.
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  • Working Paper

    Hires and Separations in Equilibrium

    January 2016

    Working Paper Number:

    CES-16-57

    Hiring occurs primarily to fill vacant slots that occur when workers separate. Equivalently, separation occurs to move workers to better alternatives. A model of efficient separations yields several specific predictions. Labor market churn is most likely when mean wages are low and the variance in wages is high. Additionally, over the business cycle, churn decreases during recessions, with hires falling at the beginning of recessions and separations declining later to match hiring. Furthermore, the young disproportionately bear the brunt of employment declines. More generally, hires and separations are positively correlated over time as well as across industry and firm. These predictions are borne out in the LEHD microdata at the economy and firm level.
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  • Working Paper

    The Impact of Immigration on the Labor Market Outcomes of Native Workers: Evidence using Longitudinal Data from the LEHD

    January 2016

    Authors: Ted Mouw

    Working Paper Number:

    CES-16-56

    Empirical estimates of the effect of immigration on native workers that rely on spatial comparisons have generally found small effects, but have been subject to the criticism that out-migration by native workers dampens the observed effect by spreading it over a larger area. In contrast, studies that rely on variation in immigration across industries, occupations, or education-based skill-levels often report large negative effects, but rely primarily on repeated cross-sectional data sets which also cannot account for the adjustment of native workers over time. In this paper, we use a newly available data set, the Longitudinal Employer Household Data (LEHD), which provides quarterly earnings records, geographic location, and firm and industry identifiers for 97% of all privately employed workers in 29 states. We use this data to analyze the impact of immigration on earnings changes and the mobility response of native workers. Overall, we find that although immigration has a negative effect on the earnings and employment of native workers, and positive effects on their firm, industry, and cross-state mobility, the overall size of the effects is small.
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  • Working Paper

    Wage Determination in Social Occupations: the Role of Individual Social Capital

    January 2016

    Working Paper Number:

    CES-16-46

    We make use of predicted social and civic activities (social capital) to account for selection into "social" occupations. Individual selection accounts for more than the total difference in wages observed between social and non-social occupations. The role that individual social capital plays in selecting into these occupations and the importance of selection in explaining wage differences across occupations is similar for both men and women. We make use of restricted 2000 Decennial Census and 2000 Social Capital Community Benchmark Survey. Individual social capital is instrumented by distance weighted surrounding census tract characteristics.
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