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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

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

American Housing Survey - 8

North American Industry Classi - 8

Business Master File - 8

Securities and Exchange Commission - 7

CDF - 7

Agriculture, Forestry - 7

Cumulative Density Function - 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

Hypothesis 2 - 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

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

Research and Development - 3

Adjusted Gross Income - 3

MTO - 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

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

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

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

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

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 121 through 130 of 246


  • Working Paper

    Going Entrepreneurial? IPOs and New Firm Creation

    January 2017

    Working Paper Number:

    CES-17-18

    Using matched employee-employer US Census data, we examine the effect of a successful initial public offering (IPO) on employee departures to startups. Accounting for the endogeneity of a firm's choice to go public, we find strong evidence that going public induces employees to leave for start-ups. Moreover, we document that the increase in turnover following an IPO is driven by employees departing to start-ups; we find no change in the rate of employee departures for established firms. We present evidence that, following an IPO, many employees who received stock grants experience a positive shock to their wealth which allows them to better tolerate the risks associated with joining a startup or to obtain funding. Our results suggest that the recent declines in IPO activity and new firm creation in the US may be causally linked. The recent decline in IPOs means fewer workers may move to startups, decreasing overall new firm creation in the economy.
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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

    Locked In? The Enforceability of Covenants Not to Compete and the Careers of High-Tech Workers

    January 2017

    Working Paper Number:

    CES-17-09

    We examine how the enforceability of covenants not to compete (CNCs) affects employee mobility and wages of high-tech workers. We expect CNC enforceability to lengthen job spells and constrain mobility, but its impact on wages is ambiguous. Using a matched employer-employee dataset covering the universe of jobs in thirty U.S states, we find that higher CNC enforceability is associated with longer job spells (fewer jobs over time), and a greater chance of leaving the state for technology workers. Consistent with a 'lock-in' effect of CNCs, we find persistent wage-suppressing effects that last throughout a worker's job and employment history.
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  • Working Paper

    Documenting the Business Register and Related Economic Business Data

    March 2016

    Working Paper Number:

    CES-16-17

    The Business Register (BR) is a comprehensive database of business establishments in the United States and provides resources for the U.S. Census Bureau's economic programs for sample selection, research, and survey operations. It is maintained using information from several federal agencies including the Census Bureau, Internal Revenue Service, Bureau of Labor Statistics, and the Social Security Administration. This paper provides a detailed description of the sources and functions of the BR. An overview of the BR as a linking tool and bridge to other Census Bureau data for additional business characteristics is also given.
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  • Working Paper

    Revisiting the Effects of Unemployment Insurance Extensions on Unemployment: A Measurement Error-Corrected Regression Discontinuity Approach

    March 2016

    Working Paper Number:

    carra-2016-01

    The extension of Unemployment Insurance (UI) benefits was a key policy response to the Great Recession. However, these benefit extensions may have had detrimental labor market effects. While evidence on the individual labor supply response indicates small effects on unemployment, recent work by Hagedorn et al. (2015) uses a county border pair identification strategy to find that the total effects inclusive of effects on labor demand are substantially larger. By focusing on variation within border county pairs, this identification strategy requires counties in the pairs to be similar in terms of unobservable factors. We explore this assumption using an alternative regression discontinuity approach that controls for changes in unobservables by distance to the border. To do so, we must account for measurement error induced by using county-level aggregates. These new results provide no evidence of a large change in unemployment induced by differences in UI generosity across state boundaries. Further analysis suggests that individuals respond to UI benefit differences across boundaries by targeting job search in high-benefit states, thereby raising concerns of treatment spillovers in this setting. Taken together, these two results suggest that the effect of UI benefit extensions on unemployment remains an open question.
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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

    Entrepreneurial teams' acquisition of talent: a two-sided approach

    January 2016

    Working Paper Number:

    CES-16-45

    While it is crucial for startups to hire high human capital employees, little is known about what drives the hiring decisions. Considering the stakes for both startups and their hires (i.e., joiners), we examine the phenomenon using a two-sided matching model that explicitly reveals the preferences of each side. We apply the model to a sample of startups from five technological manufacturing industries while examining a range of variables grounded in prior work on startup human capital. The analysis is based on the Longitudinal Employer Household dynamics from the U.S. Census Bureau. Our findings indicate that, in the context of entrepreneurship, both startups and joiners rely heavily on signals of quality. Further, quality considerations that are important for the match play a minimal role in determining earnings. Our approach refines our understanding of how entrepreneurial human capital evolves.
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  • Working Paper

    Interstate Migration and Employer-to-Employer Transitions in the U.S.: New Evidence from Administrative Records Data

    January 2016

    Working Paper Number:

    CES-16-44R

    Declines in migration across labor markets have prompted concerns that the U.S. economy is becoming less dynamic. In this paper we examine the relationship between residential migration and employer-to-employer transitions using both survey and administrative records data. We first note strong disagreement between the Current Population Survey (CPS) and other migration statistics on the timing and severity of any decline in interstate migration. Despite these divergent patterns for overall residential migration, we find consistent evidence of a substantial decline in economic migration between 2000 and 2010. We find that composition and the returns to migration have limited ability to explain recent changes in interstate migration.
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  • Working Paper

    A Portrait of Firms that Invest in R&D

    January 2016

    Working Paper Number:

    CES-16-41

    We focus on the evolution and behavior of firms that invest in research and development (R&D). We build upon the cross-sectional analysis in Foster and Grim (2010) that identified the characteristics of top R&D spending firms and follow up by charting the behavior of these firms over time. Our focus is dynamic in nature as we merge micro-level cross-sectional data from the Survey of Industrial Research and Development (SIRD) and the Business Research & Development and Innovation Survey (BRDIS) with the Longitudinal Business Database (LBD). The result is a panel firm-level data set from 1992 to 2011 that tracks firms' performances as they enter and exit the R&D surveys. Using R&D expenditures to proxy R&D performance, we find the top R&D performing firms in the U.S. across all years to be large, old, multinational enterprises. However, we also find that the composition of R&D performing firms is gradually shifting more towards smaller domestic firms with expenditures being less sensitive to scale effects. We find a high degree of persistence for these firms over time. We chart the history of R&D performing firms and compare them to all firms in the economy and find substantial differences in terms of age, size, firm structure and international activity; these differences persist when looking at future firm outcomes.
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