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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 141 through 150 of 246


  • Working Paper

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

    September 2015

    Working Paper Number:

    CES-15-29

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

    Business Dynamics of Innovating Firms: Linking U.S. Patents with Administrative Data on Workers and Firms

    July 2015

    Working Paper Number:

    CES-15-19

    This paper discusses the construction of a new longitudinal database tracking inventors and patent-owning firms over time. We match granted patents between 2000 and 2011 to administrative databases of firms and workers housed at the U.S. Census Bureau. We use inventor information in addition to the patent assignee firm name to and improve on previous efforts linking patents to firms. The triangulated database allows us to maximize match rates and provide validation for a large fraction of matches. In this paper, we describe the construction of the database and explore basic features of the data. We find patenting firms, particularly young patenting firms, disproportionally contribute jobs to the U.S. economy. We find patenting is a relatively rare event among small firms but that most patenting firms are nevertheless small, and that patenting is not as rare an event for the youngest firms compared to the oldest firms. While manufacturing firms are more likely to patent than firms in other sectors, we find most patenting firms are in the services and wholesale sectors. These new data are a product of collaboration within the U.S. Department of Commerce, between the U.S. Census Bureau and the U.S. Patent and Trademark Office.
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  • Working Paper

    Modeling Endogenous Mobility in Wage Determiniation

    June 2015

    Working Paper Number:

    CES-15-18

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

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

    June 2015

    Working Paper Number:

    CES-15-14

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

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

    June 2015

    Working Paper Number:

    CES-15-13

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

    Spinout Formation: Do Opportunities and Constraints Benefit High Capital Founders?

    June 2015

    Working Paper Number:

    CES-15-07

    We examine the role of human capital in employees' decisions to leave their parent firms andform spinouts. Using a large sample of individuals who formed spinouts in manufacturing industries between 1992 and 2005, and their co-workers who did not, we find that after controlling for age, education level, gender and alien status, individuals with higher human capital (measured as their earnings or experience) are more likely to form spinouts. We then examine the impact of industry opportunities and constraints on the propensity of high human capital individuals to form spinouts. Counterintuitively, we find that both industry constraints (measured as industry capital intensity) and opportunities (industry R&D intensity) reduce the propensity of higher human capital individuals to form spinouts. We interpret these results as being consistent with the argument that high human capital founders are more likely to choose larger, more capital-intensive projects than low human capital individuals, and thus face greater constraints. On the other side, R&D intensive industries appear to present abundant entrepreneurial opportunities, allowing low human capital individuals to identify their own opportunities thus decreasing the relative advantage of high human capital individuals.
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  • Working Paper

    Co-Working Couples and the Similar Jobs of Dual-Earner Households

    January 2015

    Authors: Henry Hyatt

    Working Paper Number:

    CES-15-23R

    Although an increasing number of studies consider married or cohabiting couples as current, former, or potential co-workers, there is surprisingly little evidence on the extent to which couples work at the same workplace. This study provides benchmark estimates on the frequency with which opposite-sex married and cohabiting couples in the United States share the same occupation, industry, work location, and employer using Census 2000 responses linked with administrative records data. This study contains the first representative estimate of the fraction of couples that share an employer, which is in the range of 11% to 13%. These shared employers can account for much of couples' shared industry, occupation, and location of employment. Longitudinal data on the employment and residency indicates that co-working couples much more likely to have chosen the same employer than to have met at work.
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  • Working Paper

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

    January 2015

    Working Paper Number:

    CES-15-21R

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

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

    January 2015

    Working Paper Number:

    CES-15-08R

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

    Human Capital of Spinouts

    January 2015

    Working Paper Number:

    CES-15-06

    This study examines how the human capital of spinout founders and the performance of parent firms affect the success of spinouts by using a matched employer-employee dataset of new ventures covering 7 SIC 1-digit sectors in the United States. Our data cover 29,100 spinouts and 379,800 new ventures formed by lone entrepreneurs in 23 states between 1992 and 2005. We evaluate several components of human capital: outcomes of human capital investments vs. human capital investments, task-related human capital vs. non-task-related human capital, and individual human capital vs. group capital, and examine whether these types of human capital affect spinout performance differently. We find that spinout founder's earnings (an outcome of human capital investment) and industry experience (task-related human capital) prior to spinout formation have strong positive correlations with spinout performance, as measured by size, wage and growth rate. We also find that group experience of spinout founders prior to spinout formation has a positive correlation with spinout performance, though this effect is slightly weaker and smaller than those of spinout founder's earnings and industry experience. The effects of these three measures of human capital are mostly present after controlling for parent firm establishment fixed effects. We find some evidence that the size of parent firm establishments has a positive correlation with spinout performance, but this effect does not hold after controlling for parent firm fixed effects. Finally, we find that founder's earnings, industry experience, group experience and parent firm size are more important during the early stage of spinout formation.
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