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Papers Containing Tag(s): 'Longitudinal Employer Household Dynamics'

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Bureau of Labor Statistics - 100

Longitudinal Business Database - 96

North American Industry Classification System - 92

National Science Foundation - 92

Alfred P Sloan Foundation - 90

Current Population Survey - 87

Internal Revenue Service - 84

American Community Survey - 83

Census Bureau Disclosure Review Board - 81

Employer Identification Numbers - 77

Social Security Administration - 65

Quarterly Workforce Indicators - 63

Unemployment Insurance - 62

Center for Economic Studies - 59

Decennial Census - 57

Quarterly Census of Employment and Wages - 55

Ordinary Least Squares - 55

Protected Identification Key - 53

Standard Industrial Classification - 53

Disclosure Review Board - 47

Federal Statistical Research Data Center - 46

Business Register - 45

Cornell University - 42

Social Security Number - 41

International Trade Research Report - 40

Survey of Income and Program Participation - 37

Metropolitan Statistical Area - 37

Social Security - 35

Census Bureau Business Register - 33

National Bureau of Economic Research - 33

Research Data Center - 33

LEHD Program - 32

Individual Characteristics File - 31

Economic Census - 31

Employer Characteristics File - 29

Employment History File - 29

National Institute on Aging - 27

Local Employment Dynamics - 26

Federal Reserve Bank - 26

AKM - 25

Business Dynamics Statistics - 23

Department of Labor - 23

Chicago Census Research Data Center - 23

Standard Statistical Establishment List - 23

Bureau of Economic Analysis - 22

W-2 - 21

Service Annual Survey - 20

2010 Census - 20

Cornell Institute for Social and Economic Research - 19

County Business Patterns - 18

Person Validation System - 17

PSID - 17

University of Chicago - 17

University of Maryland - 17

Office of Personnel Management - 16

Census of Manufactures - 16

Core Based Statistical Area - 16

Annual Survey of Manufactures - 16

Employer-Household Dynamics - 15

Master Address File - 15

Special Sworn Status - 15

National Longitudinal Survey of Youth - 14

Census Numident - 14

Business Register Bridge - 14

Business Employment Dynamics - 14

Composite Person Record - 13

University of Michigan - 13

Total Factor Productivity - 13

American Economic Review - 13

American Economic Association - 13

Census Bureau Longitudinal Business Database - 13

Department of Economics - 12

Technical Services - 12

National Center for Health Statistics - 12

Patent and Trademark Office - 11

Integrated Longitudinal Business Database - 11

Office of Management and Budget - 11

Successor Predecessor File - 11

Journal of Labor Economics - 11

Postal Service - 11

Financial, Insurance and Real Estate Industries - 11

Indian Health Service - 10

Retail Trade - 10

Organization for Economic Cooperation and Development - 10

Kauffman Foundation - 10

Labor Turnover Survey - 10

National Institutes of Health - 9

Company Organization Survey - 9

Department of Homeland Security - 9

LODES - 9

COVID-19 - 9

Housing and Urban Development - 9

Sloan Foundation - 9

Quarterly Journal of Economics - 9

Herfindahl Hirschman Index - 8

Center for Research in Security Prices - 8

Michigan Institute for Teaching and Research in Economics - 8

Person Identification Validation System - 8

United States Census Bureau - 8

Occupational Employment Statistics - 8

Columbia University - 8

Federal Reserve System - 8

Integrated Public Use Microdata Series - 8

Disability Insurance - 8

Accommodation and Food Services - 8

New York Times - 8

Journal of Political Economy - 8

Department of Housing and Urban Development - 8

Duke University - 8

Hypothesis 2 - 8

American Housing Survey - 8

North American Industry Classi - 8

Business Master File - 8

Securities and Exchange Commission - 7

LEHD Origin-Destination Employment Statistics - 7

CDF - 7

Agriculture, Forestry - 7

Cumulative Density Function - 7

Multiple Worksite Report - 7

Stanford University - 7

Educational Services - 7

NBER Summer Institute - 7

Urban Institute - 7

Review of Economics and Statistics - 7

Journal of Economic Literature - 7

New York University - 7

Data Management System - 7

Survey of Business Owners - 7

MIT Press - 7

Harvard University - 7

Census Bureau Business Dynamics Statistics - 7

Small Business Administration - 7

Federal Tax Information - 7

Census of Manufacturing Firms - 7

Longitudinal Research Database - 7

BLS Handbook of Methods - 7

Census 2000 - 7

JOLTS - 7

Environmental Protection Agency - 6

Annual Survey of Entrepreneurs - 6

Department of Education - 6

MAF-ARF - 6

Department of Health and Human Services - 6

Ohio State University - 6

Standard Occupational Classification - 6

Health Care and Social Assistance - 6

University of Toronto - 6

Generalized Method of Moments - 6

IZA - 6

North American Free Trade Agreement - 6

Personally Identifiable Information - 6

Society of Labor Economists - 6

Council of Economic Advisers - 6

Survey of Industrial Research and Development - 6

Probability Density Function - 6

Agency for Healthcare Research and Quality - 6

Characteristics of Business Owners - 6

Health and Retirement Study - 6

University of California Los Angeles - 6

Journal of Econometrics - 6

Initial Public Offering - 6

Census Bureau Center for Economic Studies - 6

Oil and Gas Extraction - 5

Social and Economic Supplement - 5

National Employer Survey - 5

Nonemployer Statistics - 5

Board of Governors - 5

Earned Income Tax Credit - 5

Survey of Consumer Finances - 5

Boston College - 5

Wholesale Trade - 5

Public Administration - 5

2SLS - 5

Department of Defense - 5

ASEC - 5

Bureau of Labor - 5

Business Services - 5

University of Minnesota - 5

UC Berkeley - 5

Cobb-Douglas - 5

Information and Communication Technology Survey - 5

Russell Sage Foundation - 5

CAAA - 5

Ewing Marion Kauffman Foundation - 5

American Statistical Association - 5

Sample Edited Detail File - 5

Consolidated Metropolitan Statistical Areas - 5

Department of Energy - 4

IQR - 4

Herfindahl-Hirschman - 4

University of California - 4

Citizenship and Immigration Services - 4

General Accounting Office - 4

Professional Services - 4

World Trade Organization - 4

Federal Insurance Contribution Act - 4

Individual Taxpayer Identification Numbers - 4

SSA Numident - 4

Pew Research Center - 4

George Mason University - 4

Federal Emergency Management Agency - 4

Centers for Disease Control and Prevention - 4

Census Industry Code - 4

Detailed Earnings Records - 4

HHS - 4

Arts, Entertainment - 4

Medical Expenditure Panel Survey - 4

Center for Administrative Records Research - 4

Journal of Economic Perspectives - 4

Georgetown University - 4

National Ambient Air Quality Standards - 4

Current Employment Statistics - 4

Center for Administrative Records Research and Applications - 4

Kauffman Firm Survey - 4

Statistics Canada - 4

Public Use Micro Sample - 4

National Research Council - 4

WECD - 4

J16 - 3

Research and Development - 3

Adjusted Gross Income - 3

MTO - 3

J23 - 3

Economic Research Service - 3

PIKed - 3

COVID - 3

Review of Economic Studies - 3

Geographic Information Systems - 3

Net Present Value - 3

Princeton University - 3

University of Virginia - 3

Medicaid Services - 3

Social Science Research Institute - 3

Master Beneficiary Record - 3

Computer Assisted Personal Interview - 3

Supplemental Nutrition Assistance Program - 3

World Bank - 3

1940 Census - 3

Yale University - 3

National Income and Product Accounts - 3

Temporary Assistance for Needy Families - 3

Harvard Business School - 3

National Opinion Research Center - 3

DOB - 3

Business Research and Development and Innovation Survey - 3

Federal Government - 3

Federal Reserve Board of Governors - 3

American Immigration Council - 3

Business R&D and Innovation Survey - 3

European Union - 3

Commodity Flow Survey - 3

United Nations - 3

NUMIDENT - 3

Department of State - 3

Securities Data Company - 3

Labor Productivity - 3

Establishment Micro Properties - 3

Foreign Direct Investment - 3

Permanent Plant Number - 3

employ - 126

employed - 125

workforce - 121

employee - 102

labor - 100

earnings - 80

payroll - 61

recession - 56

worker - 54

hiring - 45

job - 42

salary - 41

economist - 41

survey - 37

entrepreneurship - 35

entrepreneur - 34

econometric - 34

quarterly - 34

unemployed - 33

earner - 32

census employment - 32

hire - 31

endogeneity - 30

heterogeneity - 30

tenure - 30

census bureau - 29

workplace - 26

employment dynamics - 26

earn - 25

estimating - 25

occupation - 24

agency - 24

employment statistics - 24

venture - 24

layoff - 23

longitudinal - 23

employing - 23

employment data - 22

employee data - 22

longitudinal employer - 22

respondent - 21

entrepreneurial - 21

statistical - 21

employer household - 21

census data - 20

data - 20

report - 18

acquisition - 18

turnover - 18

data census - 18

enterprise - 17

company - 17

research census - 17

employment estimates - 17

employment growth - 17

revenue - 17

macroeconomic - 16

shift - 16

incentive - 16

immigrant - 16

residential - 16

residence - 16

economic census - 16

discrimination - 15

population - 14

ethnicity - 14

disadvantaged - 14

employment earnings - 14

innovation - 14

aging - 14

unemployment rates - 13

opportunity - 13

work census - 13

housing - 13

industrial - 13

employment count - 13

metropolitan - 13

socioeconomic - 12

migration - 12

disclosure - 12

minority - 12

finance - 12

investment - 12

bias - 12

segregation - 12

researcher - 12

establishment - 12

ethnic - 12

migrant - 12

rent - 12

estimation - 12

analysis - 12

workforce indicators - 12

labor statistics - 12

economically - 11

regress - 11

disparity - 11

labor markets - 11

neighborhood - 11

growth - 11

patent - 11

compensation - 11

immigration - 11

organizational - 11

employment wages - 11

workers earnings - 11

econometrician - 11

wage data - 11

estimates employment - 11

founder - 11

employment flows - 10

relocation - 10

proprietor - 10

department - 10

sector - 10

welfare - 10

earnings employees - 10

endogenous - 10

unobserved - 10

trend - 10

worker demographics - 10

prospect - 10

mobility - 10

state - 10

retirement - 10

accounting - 10

microdata - 10

earnings workers - 10

clerical - 10

relocate - 9

corporate - 9

record - 9

irs - 9

spillover - 9

hispanic - 9

expenditure - 9

employment trends - 9

poverty - 9

imputation - 9

resident - 9

insurance - 9

wealth - 9

matching - 9

datasets - 9

information census - 8

database - 8

proprietorship - 8

censuses surveys - 8

debt - 8

race - 8

investor - 8

profit - 8

funding - 8

patenting - 8

innovative - 8

wages employment - 8

wage growth - 8

employment unemployment - 8

migrate - 8

tax - 8

use census - 8

innovate - 8

statistician - 8

bankruptcy - 8

employment measures - 8

census survey - 8

associate - 7

merger - 7

racial - 7

effect wages - 7

effects employment - 7

black - 7

inventory - 7

trends employment - 7

migrating - 7

manufacturing - 7

filing - 7

moving - 7

intergenerational - 7

leverage - 7

earnings age - 7

study - 7

research - 7

recession employment - 7

startup - 7

state employment - 7

employment declines - 6

corporation - 6

executive - 6

incorporated - 6

coverage - 6

employed census - 6

recessionary - 6

wage earnings - 6

market - 6

ssa - 6

home - 6

earnings growth - 6

refugee - 6

medicaid - 6

earnings inequality - 6

gdp - 6

household surveys - 6

pension - 6

federal - 6

unemployment insurance - 6

wages productivity - 6

census research - 6

linked census - 6

census business - 6

competitor - 6

earnings mobility - 6

measures employment - 6

privacy - 6

wage changes - 6

wage variation - 6

paper census - 6

exogeneity - 5

graduate - 5

institutional - 5

earnings gap - 5

assessed - 5

employment effects - 5

financial - 5

financing - 5

impact - 5

family - 5

maternal - 5

commute - 5

invention - 5

innovator - 5

younger firms - 5

firms young - 5

immigrant workers - 5

export - 5

woman - 5

renter - 5

worker wages - 5

transition - 5

native - 5

regressing - 5

aggregate - 5

saving - 5

model - 5

union - 5

startups employees - 5

industry employment - 5

rates employment - 5

citizen - 5

confidentiality - 5

decline - 5

restructuring - 5

employment entrepreneurship - 5

wage gap - 4

educated - 4

university - 4

earns - 4

academic - 4

career - 4

nonemployer businesses - 4

2010 census - 4

loan - 4

lender - 4

creditor - 4

shareholder - 4

enrollment - 4

wage effects - 4

urban - 4

city - 4

technological - 4

employment distribution - 4

immigrated - 4

relocating - 4

exporter - 4

multinational - 4

segregated - 4

neighbor - 4

geographically - 4

fund - 4

gender - 4

insured - 4

increase employment - 4

impact employment - 4

estimator - 4

income data - 4

wage industries - 4

contract - 4

demand - 4

productivity wage - 4

coverage employer - 4

labor productivity - 4

yearly - 4

startup firms - 4

emission - 4

pollution - 4

indicator - 4

statistical disclosure - 4

information - 4

heterogeneous - 4

statistical agencies - 4

college - 3

subsidiary - 3

consolidated - 3

firm data - 3

residing - 3

borrower - 3

takeover - 3

equity - 3

subsidy - 3

parental - 3

mother - 3

suburb - 3

innovating - 3

firms patents - 3

patents firms - 3

patenting firms - 3

specialization - 3

wage regressions - 3

katrina - 3

mexican - 3

generation - 3

homeowner - 3

taxation - 3

medicare - 3

birth - 3

parent - 3

advancement - 3

analyst - 3

industry wages - 3

wage differences - 3

percentile - 3

manager - 3

mortality - 3

enforcement - 3

policy - 3

reporting - 3

econometrically - 3

diversification - 3

strategic - 3

business data - 3

businesses census - 3

census years - 3

sale - 3

pollutant - 3

pollution exposure - 3

regional - 3

employment changes - 3

profitability - 3

ownership - 3

empirical - 3

acquirer - 3

census file - 3

bankrupt - 3

productivity growth - 3

enrollee - 3

average - 3

discrepancy - 3

employees startups - 3

regression - 3

employment recession - 3

decade - 3

sociology - 3

corp - 3

network - 3

exemption - 3

regressors - 3

retiree - 3

measure - 3

uninsured - 3

Viewing papers 231 through 240 of 246


  • Working Paper

    The 1990 Decennial Employer-Employee Dataset

    October 2002

    Working Paper Number:

    CES-02-23

    We describe the construction and assessment of a new matched employer-employee data set, the 1990 Decennial Employer-Employee Dataset (1990 DEED). By using place of work name and address, we link workers from the 1990 Long Form Sample to their place of work in the 1990 Standard Statistical Establishment List. The resulting data set is much larger and more representative across regional and industry dimensions than previous matched data sets for the United States. The known strengths and limitations of the data set are discussed in detail.
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  • Working Paper

    Agent Heterogeneity and Learning: An Application to Labor Markets

    October 2002

    Authors: Simon Woodcock

    Working Paper Number:

    tp-2002-20

    I develop a matching model with heterogeneous workers, rms, and worker-firm matches, and apply it to longitudinal linked data on employers and employees. Workers vary in their marginal product when employed and their value of leisure when unemployed. Firms vary in their marginal product and cost of maintaining a vacancy. The marginal product of a worker-firm match also depends on a match-specific interaction between worker and rm that I call match quality. Agents have complete information about worker and rm heterogeneity, and symmetric but incomplete information about match quality. They learn its value slowly by observing production outcomes. There are two key results. First, under a Nash bargain, the equilibrium wage is linear in a person-specific component, a firm-specific component, and the posterior mean of beliefs about match quality. Second, in each period the separation decision depends only on the posterior mean of beliefs and person and rm characteristics. These results have several implications for an empirical model of earnings with person and rm e ects. The rst implies that residuals within a worker-firm match are a martingale; the second implies the distribution of earnings is truncated. I test predictions from the matching model using data from the Longitudinal Employer-Household Dynamics (LEHD) Program at the US Census Bureau. I present both xed and mixed model specifications of the equilibrium wage function, taking account of structural aspects implied by the learning process. In the most general specification, earnings residuals have a completely unstructured covariance within a worker-firm match. I estimate and test a variety of more parsimonious error structures, including the martingale structure implied by the learning process. I nd considerable support for the matching model in these data.
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  • Working Paper

    The Sensitivity of Economic Statistics to Coding Errors in Personal Identifiers

    October 2002

    Working Paper Number:

    tp-2002-17

    In this paper, we describe the sensitivity of small-cell flow statistics to coding errors in the identity of the underlying entities. Specifically, we present results based on a comparison of the U.S. Census Bureau's Quarterly Workforce Indicators (QWI) before and after correcting for such errors in SSN-based identifiers in the underlying individual wage records. The correction used involves a novel application of existing statistical matching techniques. It is found that even a very conservative correction procedure has a sizable impact on the statistics. The average bias ranges from 0.25 percent up to 15 percent for flow statistics, and up to 5 percent for payroll aggregates.
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  • Working Paper

    Estimating the Relationship between Employer-Provided Health Insurance, Worker Mobility, and Wages

    September 2002

    Authors: Martha Stinson

    Working Paper Number:

    tp-2002-23

    In this paper, a joint model of wages, hazard of a job ending, and probability of holding employer-provided health insurance is estimated, taking account of unobservable person and job characteristics. A unique data source, the 1990 and 1996 SIPP Panels linked to SSA administrative job histories, enables the identification of random person and job effects and the correlation of these effects across the three equations. The explicit modeling of this correlation produces consistent estimates of the effect of tenure on wages and the effect of health insurance on mobility. Substantial levels of job-lock and significant annual returns to seniority are found. Increasing the job-specific probability of obtaining employerprovided health insurance from 60% to 63%, or increasing the job-specific hourly wage rate by $.80, are both associated with an equivalent decrease in the hazard of the job ending. However, the dollar value of the wage benefit is substantially higher.
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  • Working Paper

    The interactions of workers and firms in the low-wage labor market

    August 2002

    Working Paper Number:

    tp-2002-12

    This paper presents an analysis of workers who persistently have low earnings in the labor market over a period of three or more years. Some of these workers manage to escape from this low-earning status over subsequent years, while many do not. Using data from the Longitudinal Employer Household Dynamics (LEHD) project at the U.S. Census Bureau, we analyze the characteristics of persons and especially of their firms and jobs that enable some to improve their earnings status over time.
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  • Working Paper

    Abandoning the Sinking Ship: The Composition of Worker Flows Prior to Displacement

    August 2002

    Working Paper Number:

    tp-2002-11

    declines experienced by workers several years before displacement occurs. Little attention, however, has been paid to other changes in compensation and employment in firms prior to the actual displacement event. This paper examines changes in the composition of job and worker flows before displacement, and compares the "quality" distribution of workers leaving distressed firms to that of all movers in general. More specifically, we exploit a unique dataset that contains observations on all workers over an extended period of time in a number of US states, combined with survey data, to decompose different jobflow statistics according to skill group and number of periods before displacement. Furthermore, we use quantile regression techniques to analyze changes in the skill profile of workers leaving distressed firms. Throughout the paper, our measure for worker skill is derived from person fixed effects estimated using the wage regression techniques pioneered by Abowd, Kramarz, and Margolis (1999) in conjunction with the standard specification for displaced worker studies (Jacobson, LaLonde, and Sullivan 1993). We find that there are significant changes to all measures of job and worker flows prior to displacement. In particular, churning rates increase for all skill groups, but retention rates drop for high-skilled workers. The quantile regressions reveal a right-shift in the distribution of worker quality at the time of displacement as compared to average firm exit flows. In the periods prior to displacement, the patterns are consistent with both discouraged high-skilled workers leaving the firm, and management actions to layoff low-skilled workers.
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  • Working Paper

    The Creation of the Employment Dynamics Estimates

    July 2002

    Working Paper Number:

    tp-2002-13

    View Full Paper PDF
  • Working Paper

    Is it Who You Are, Where You Work, or With Whom You Work? Reassessing the Relationship Between Skill Segregation and Wage Inequality

    June 2002

    Working Paper Number:

    tp-2002-10

    In a recent paper, Kremer & Maskin (QJE, forthcoming) develop an assignment model in which increases in the dispersion and mean of the skill distribution can lead simultaneously to increases in wage inequality and skill segregation. They then present evidence that, concurrent with rising wage inequality, wage segregation increased for production workers in the United States between 1975 and 1986. My paper argues that relying on wages as a proxy for skill may be problematic. Using a newly developed longitudinal dataset linking virtually the entire universe of workers in the state of Illinois to their employers, I decompose wages into components due, not only to person and firm heterogeneity, but also to the characteristics of their co-workers. Such "co-worker effects" capture the impact of a weighted sum of the characteristics of all workers in a firm on each individual employee's wage. While rising wage segregation can result from greater skill segregation, it may also be due to changes in the variance of co-worker effects in the economy, or to changes in the covariance between the person, firm, and co-worker components of wages. Due to the limited availability of demographic information on workers, I rely on the person specific component of wages to proxy for co-worker "skills." Because these person effects are unknown ex ante, I implement an iterative estimation approach where they are first obtained from a preliminary regression that excludes any role for co-workers. Because virtually all person and firm effects are identified, the approach yields consistent estimates of the co-worker parameters. My estimates imply that a one standard deviation increase in both a firm's average person effect and experience level is associated, on average, with wage increases of 3% to 5%. Firms that increase the wage premia they pay workers appear to do so in conjunction with upgrading worker quality. Interestingly, the average effect masks considerable variation in the relative importance of co-workers across industries. After allowing the co-worker parameters to vary across 2 digit industries, I find that industry average co-worker effects explain 26% of observed inter-industry wage differentials. Finally, I decompose the overall distribution of wages into components due to persons, firms, and coworkers. While co-worker effects do indeed serve to exacerbate wage inequality, the tendency for high and low skilled workers to sort non-randomly into firms plays a considerably more prominent role.
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  • Working Paper

    Modeling Labor Markets with Heterogeneous Agents and Matches

    May 2002

    Authors: Simon Woodcock

    Working Paper Number:

    tp-2002-19

    I present a matching model with heterogeneous workers, firms, and worker-fim matches. The model generalizes the seminal Jovanovic (1979) model to the case of heterogeneous agents. The equilibrium wage is linear in a person-specific component, a firm-specific component, and a match specific component that varies with tenure. Under certain conditions, the equilibrium wage takes a simpler structure where the match specific component does not vary with tenure. I discuss fixed- and mixedeffect methods for estimating wage models with this structure on longitudinal linked employer-employee data. The fixed effect specification relies on restrictive identification conditions, but is feasible for very large databases. The mixed model requires less restrictive identification conditions, but is feasible only on relatively small databases. Both the fixed and mixed models generate empirical person, firm, and match effects with characteristics that are consistent with predictions from the matching model; the mixed model moreso than the fixed model. Shortcomings of the fixed model appear to be artifacts of the identification conditions.
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  • Working Paper

    The Measurement of Human Capital in the U.S. Economy

    April 2002

    Working Paper Number:

    tp-2002-09

    We develop a new approach to measuring human capital that permits the distinction of both observable and unobservable dimensions of skill by associating human capital with the portable part of an individual's wage rate. Using new large-scale, integrated employer-employee data containing information on 68 million individuals and 3.6 million firms, we explain a very large proportion (84%) of the total variation in wages rates and attribute substantial variation to both individual and employer heterogeneity. While the wage distribution remained largely unchanged between 1992-1997, we document a pronounced right shift in the overall distribution of human capital. Most workers entering our sample, while less experienced, were otherwise more highly skilled, a difference which can be attributed almost exclusively to unobservables. Nevertheless, compared to exiters and continuers, entrants exhibited a greater tendency to match to firms paying below average internal wages. Firms reduced employment shares of low skilled workers and increased employment shares of high skilled workers in virtually every industry. Our results strongly suggest that the distribution of human capital will continue to shift to the right, implying a continuing up-skilling of the employed labor force.
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