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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 141 through 150 of 254


  • Working Paper

    It's Where You Work: Increases In Earnings Dispersion Across Establishments And Individuals In The U.S.

    September 2014

    Working Paper Number:

    CES-14-33

    This paper links data on establishments and individuals to analyze the role of establishments in the increase in inequality that has become a central topic in economic analysis and policy debate. It decomposes changes in the variance of ln earnings among individuals into the part due to changes in earnings among establishments and the part due to changes in earnings within-establishments and finds that much of the 1970s-2010s increase in earnings inequality results from increased dispersion of the earnings among the establishments where individuals work. It also shows that the divergence of establishment earnings occurred within and across industries and was associated with increased variance of revenues per worker. Our results direct attention to the fundamental role of establishment-level pay setting and economic adjustments in earnings inequality.
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  • Working Paper

    HIRES, SEPARATIONS, AND THE JOB TENURE DISTRIBUTION IN ADMINISTRATIVE EARNINGS RECORDS

    September 2014

    Working Paper Number:

    CES-14-29

    Statistics on hires, separations, and job tenure have historically been tabulated from survey data. In recent years, these statistics are increasingly being produced from administrative records. In this paper, we discuss the calculation of hires, separations, and job tenure from quarterly administrative records, and we present these labor market statistics calculated from the U.S. Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) program. We pay special attention to a phenomenon that survey data is ill-suited to analyze: single quarter jobs, which we define as jobs in which the hire and separation occur in the same quarter. We explore the trends of hires, separations, tenure, and single quarter jobs in the United States for the years 1998-2010. We discuss issues associated with creating these statistics from quarterly earnings records, and we identify the challenges that remain.
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  • Working Paper

    LEHD Infrastructure files in the Census RDC - Overview

    June 2014

    Working Paper Number:

    CES-14-26

    The Longitudinal Employer-Household Dynamics (LEHD) Program at the U.S. Census Bureau, with the support of several national research agencies, maintains a set of infrastructure files using administrative data provided by state agencies, enhanced with information from other administrative data sources, demographic and economic (business) surveys and censuses. The LEHD Infrastructure Files provide a detailed and comprehensive picture of workers, employers, and their interaction in the U.S. economy. This document describes the structure and content of the 2011 Snapshot of the LEHD Infrastructure files as they are made available in the Census Bureaus secure and restricted-access Research Data Center network. The document attempts to provide a comprehensive description of all researcher-accessible files, of their creation, and of any modifcations made to the files to facilitate researcher access.
    View Full Paper PDF
  • Working Paper

    Firm Dynamics and Assortative Matching

    May 2014

    Authors: Leland D. Crane

    Working Paper Number:

    CES-14-25

    I study the relationship between firm growth and the characteristics of newly hired workers. Using Census microdata I obtain a novel empirical result: when a given firm grows faster it hires workers with higher past wages. These results suggest that productive, fast-growing firms tend to hire more productive workers, a form of positive assortative matching. This contrasts with prior research that has found negligible or negative sorting between workers and firms. I present evidence that this difference arises because previous studies have focused on cross-sectional comparisons across firms and industries, while my results condition on firm characteristics (e.g. size, industry, or firm fixed effects). Motivated by the empirical findings I develop a search model with heterogeneous workers and firms. The model is the first to study worker-firm sorting in an environment with worker heterogeneity, firm productivity shocks, multi-worker firms, and search frictions. Despite this richness the model is tractable, allowing me to characterize assortative matching, compositional dynamics and other properties analytically. I show that the model reproduces the positive firm growth-quality of hires correlation when worker and firm types are strong complements in production (i.e. the production function is strictly log-supermodular).
    View Full Paper PDF
  • Working Paper

    FIRM AGE AND SIZE IN THE LONGITUDINAL EMPLOYER-HOUSEHOLD DYNAMICS DATA

    March 2014

    Working Paper Number:

    CES-14-16

    The Census Bureau's Quarterly Workforce Dynamics (QWI) and OnTheMap now provide detailed workforce statistics by employer age and size. These data allow a first look at the demographics of workers at small and young businesses as well as detailed analysis of how hiring, turnover, job creation/destruction vary throughout a firm's lifespan. Both the QWI and OnTheMap are tabulated from the Longitudinal Employer-Household Dynamics (LEHD) linked employer-employee data. Firm age and size information was added to the LEHD data through integration of Business Dynamics Statistics (BDS) microdata into the LEHD jobs frame. This paper describes how these two new firm characteristics were added to the microdata and how they are tabulated in QWI and OnTheMap
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  • Working Paper

    A FIRST STEP TOWARDS A GERMAN SYNLBD: CONSTRUCTING A GERMAN LONGITUDINAL BUSINESS DATABASE

    February 2014

    Working Paper Number:

    CES-14-13

    One major criticism against the use of synthetic data has been that the efforts necessary to generate useful synthetic data are so in- tense that many statistical agencies cannot afford them. We argue many lessons in this evolving field have been learned in the early years of synthetic data generation, and can be used in the development of new synthetic data products, considerably reducing the required in- vestments. The final goal of the project described in this paper will be to evaluate whether synthetic data algorithms developed in the U.S. to generate a synthetic version of the Longitudinal Business Database (LBD) can easily be transferred to generate a similar data product for other countries. We construct a German data product with infor- mation comparable to the LBD - the German Longitudinal Business Database (GLBD) - that is generated from different administrative sources at the Institute for Employment Research, Germany. In a fu- ture step, the algorithms developed for the synthesis of the LBD will be applied to the GLBD. Extensive evaluations will illustrate whether the algorithms provide useful synthetic data without further adjustment. The ultimate goal of the project is to provide access to multiple synthetic datasets similar to the SynLBD at Cornell to enable comparative studies between countries. The Synthetic GLBD is a first step towards that goal.
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  • Working Paper

    GLOBALIZATION AND TOP INCOME SHARES

    February 2014

    Authors: Lin Ma

    Working Paper Number:

    CES-14-07

    How does globalization affect the income gaps between the rich and the poor? This paper presents a new piece of empirical evidence showing that access to the global market, either through exporting or through multinational production, is associated with a higher executive-to-worker pay ratio within the firm. It then builds a model with heterogeneous firms, occupational choice, and executive compensation to model analytically and assess quantitatively the impact of globalization on the income gaps between the rich and the poor. The key mechanism is that the 'gains from trade' are not distributed evenly within the same firm. The compensation of an executive is positively linked to the size of the firm, while the wage paid to the workers is determined in a country- wide labor market. Any extra profit earned in the foreign markets benefits the executives more than the average worker. Counterfactual exercises suggest that this new channel is quantitatively important for the observed surge in top income shares in the data. Using the changes in the volume of trade and multinational firm sales, the model can explain around 33 percent of the surge in top income shares over the past two decades in the United States.
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  • Working Paper

    When It Rains It Pours: Under What Circumstances Does Job Loss Lead to Divorce

    December 2013

    Working Paper Number:

    CES-13-62

    Much of the previous research that has examined the effect of job loss on the probability of divorce rely on data from the 1970s-80s, a period of dramatic change in marital formation and dissolution. It is unclear how well this research pertains to more recent trends in marriage, divorce, and female labor force participation. This study uses data from the Survey of Income and Program Participation (SIPP) from 2000 to 2012 (thus including effects of the Great Recession) to examine how displacement (i.e., exogenous job loss) affects the probability of divorce. The author finds clear evidence that the effects of displacement appear to be asymmetric depending upon the gender of the job loser. Specifically, displacement significantly increases the probability of divorce but only if the husband is the spouse that is displaced and his earnings represented approximately half of the household's earnings prior to displacement. Similarly, results show that the probability of divorce increases if the wife is employed and as her earnings increase. While the mechanism behind these asymmetric results remains unclear, these results are consistent with recent research that finds a destabilizing effect on marriages when a wife earns more than her husband.
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  • Working Paper

    Disentangling Labor Supply and Demand Shifts Using Spatial Wage Dispersion: The Case of Oil Price Shocks

    November 2013

    Working Paper Number:

    CES-13-57

    We separate changes in labor supply and demand through changes in higher-order moments of the wage distribution. We illustrate this idea in a study of the effects of oil price shocks, which generate a predictable labor demand adjustment across regions. Empirically, oil price shocks decrease average wages, particularly skilled wages, and increase wage dispersion, particularly unskilled wage dispersion. In a model with spatial energy intensity differences and nontradables, labor demand shifts, while explaining the response of average wages to oil price shocks, have counterfactual implications for the response of wage dispersion. Only shifts in labor supply can explain this latter fact.
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  • Working Paper

    FALLING HOUSE PRICES AND LABOR MOBILITY: EVIDENCE FROM MATCHED EMPLOYER-EMPLOYEE DATA

    August 2013

    Working Paper Number:

    CES-13-43

    This study uses worker-level employment data from the U.S. Census Bureau to test whether falling home prices affect a worker's propensity to take a job in a different metropolitan area from where he is currently located. Using a sample of workers from the American Community Survey, I employ a within-MSA-time estimation that compares homeowners to renters in their propensities to relocate for jobs according to data from the Longitudinal Employer Household Dynamics database. This strategy allows me to disentangle the influence of house prices from that of other time-varying, location-specific shocks. Estimates show that homeowners who have experienced declines in the nominal value of their home are approximately 20% less likely to take a new job in a location outside of the metropolitan area that they currently live and work in, relative to an equivalent renter. This evidence is consistent with the hypothesis that housing lock-in has contributed to the decreased labor mobility of homeowners during the recent housing bust.
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