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Papers Containing Tag(s): 'Employer Identification Numbers'

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Longitudinal Business Database - 113

Internal Revenue Service - 104

North American Industry Classification System - 101

Bureau of Labor Statistics - 85

Longitudinal Employer Household Dynamics - 82

Center for Economic Studies - 69

Business Register - 69

Census Bureau Disclosure Review Board - 65

Census Bureau Business Register - 57

Social Security Administration - 53

American Community Survey - 46

Standard Industrial Classification - 45

Ordinary Least Squares - 45

Current Population Survey - 45

Protected Identification Key - 44

National Science Foundation - 43

Economic Census - 41

Social Security Number - 41

Business Dynamics Statistics - 37

Federal Statistical Research Data Center - 35

Disclosure Review Board - 34

Social Security - 33

Decennial Census - 33

Alfred P Sloan Foundation - 33

County Business Patterns - 32

Standard Statistical Establishment List - 32

National Bureau of Economic Research - 31

Quarterly Census of Employment and Wages - 30

W-2 - 28

Annual Survey of Manufactures - 28

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Metropolitan Statistical Area - 28

Bureau of Economic Analysis - 28

Service Annual Survey - 27

Survey of Income and Program Participation - 25

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Federal Reserve Bank - 24

Total Factor Productivity - 22

Census Bureau Longitudinal Business Database - 21

Unemployment Insurance - 21

Small Business Administration - 20

Department of Labor - 20

Individual Characteristics File - 19

Cornell University - 19

Retail Trade - 18

Employer Characteristics File - 17

Department of Homeland Security - 17

University of Maryland - 17

University of Chicago - 17

Employment History File - 16

Master Address File - 16

Census of Manufactures - 16

Company Organization Survey - 15

Longitudinal Research Database - 15

Business Employment Dynamics - 14

Person Validation System - 14

Office of Management and Budget - 14

Postal Service - 14

Local Employment Dynamics - 13

Integrated Longitudinal Business Database - 13

Financial, Insurance and Real Estate Industries - 13

Chicago Census Research Data Center - 13

Annual Business Survey - 12

Census of Manufacturing Firms - 12

LEHD Program - 12

Survey of Business Owners - 11

2010 Census - 11

Federal Reserve System - 11

Business Formation Statistics - 11

COVID-19 - 11

Technical Services - 11

Successor Predecessor File - 11

Accommodation and Food Services - 11

Core Based Statistical Area - 11

Longitudinal Firm Trade Transactions Database - 11

Cornell Institute for Social and Economic Research - 10

Initial Public Offering - 10

International Trade Research Report - 10

Kauffman Foundation - 10

American Economic Review - 10

AKM - 9

Securities and Exchange Commission - 9

Census Numident - 9

National Institute on Aging - 9

Medical Expenditure Panel Survey - 9

Business Master File - 9

Business Register Bridge - 9

Linear Probability Models - 8

Department of Economics - 8

Employer-Household Dynamics - 8

Herfindahl Hirschman Index - 8

Office of Personnel Management - 8

Legal Form of Organization - 8

Educational Services - 8

Arts, Entertainment - 8

American Economic Association - 8

Characteristics of Business Owners - 8

Data Management System - 8

Department of Housing and Urban Development - 8

Patent and Trademark Office - 8

Detailed Earnings Records - 8

Review of Economics and Statistics - 8

Permanent Plant Number - 8

Board of Governors - 7

Multiple Worksite Report - 7

General Accounting Office - 7

Establishment Micro Properties - 7

MAF-ARF - 7

SSA Numident - 7

Cumulative Density Function - 7

Michigan Institute for Teaching and Research in Economics - 7

Standard Occupational Classification - 7

Occupational Employment Statistics - 7

National Employer Survey - 7

Nonemployer Statistics - 7

Organization for Economic Cooperation and Development - 7

Housing and Urban Development - 7

Paycheck Protection Program - 7

Wholesale Trade - 7

Computer Assisted Personal Interview - 7

American Housing Survey - 7

New York University - 7

National Center for Health Statistics - 7

Federal Tax Information - 7

MIT Press - 7

Public Administration - 7

Disability Insurance - 6

Form W-2 - 6

Agriculture, Forestry - 6

PSID - 6

Limited Liability Company - 6

Guzman and Stern - 6

COVID - 6

Annual Survey of Entrepreneurs - 6

Health Care and Social Assistance - 6

Cobb-Douglas - 6

Department of Defense - 6

CDF - 6

Journal of Labor Economics - 6

Customs and Border Protection - 6

Council of Economic Advisers - 5

Federal Insurance Contribution Act - 5

NBER Summer Institute - 5

Quarterly Journal of Economics - 5

2SLS - 5

University of Michigan - 5

Professional Services - 5

Bureau of Labor - 5

Person Identification Validation System - 5

IQR - 5

Oil and Gas Extraction - 5

Adjusted Gross Income - 5

HHS - 5

National Center for Science and Engineering Statistics - 5

Generalized Method of Moments - 5

Economic Research Service - 5

Kauffman Firm Survey - 5

Sloan Foundation - 5

Ohio State University - 5

Personally Identifiable Information - 5

Composite Person Record - 5

North American Industry Classi - 5

Statistics Canada - 5

University of California Los Angeles - 5

Journal of Political Economy - 5

Department of Commerce - 5

Department of Agriculture - 4

Federal Register - 4

Earned Income Tax Credit - 4

National Establishment Time Series - 4

Population Estimates Program - 4

Boston College - 4

World Trade Organization - 4

Brookings Institution - 4

Individual Taxpayer Identification Numbers - 4

Temporary Assistance for Needy Families - 4

Supplemental Nutrition Assistance Program - 4

Census Bureau Person Identification Validation System - 4

Social Science Research Institute - 4

Columbia University - 4

Master Earnings File - 4

Society of Labor Economists - 4

DOB - 4

TFPQ - 4

Probability Density Function - 4

Agency for Healthcare Research and Quality - 4

Information and Communication Technology Survey - 4

VAR - 4

United Nations - 4

Harmonized System - 4

Census 2000 - 4

Net Present Value - 4

State Energy Data System - 4

COMPUSTAT - 4

Special Sworn Status - 4

Journal of Economic Literature - 4

Business Services - 3

Harvard Business School - 3

Russell Sage Foundation - 3

Energy Information Administration - 3

Department of Energy - 3

Environmental Protection Agency - 3

Health and Retirement Study - 3

Center for Research in Security Prices - 3

Federal Trade Commission - 3

Supreme Court - 3

Department of Health and Human Services - 3

IZA - 3

Administrative Records - 3

Master Beneficiary Record - 3

Workforce Information Council Administrative Wage Record Enhancement Study Group - 3

Indian Health Service - 3

Federal Emergency Management Agency - 3

IBM - 3

National Institutes of Health - 3

Georgetown University - 3

Retirement History Survey - 3

National Income and Product Accounts - 3

Foreign Direct Investment - 3

European Union - 3

Center for Administrative Records Research - 3

Journal of Human Resources - 3

Wal-Mart - 3

Federal Reserve Board of Governors - 3

Business R&D and Innovation Survey - 3

George Mason University - 3

Stanford University - 3

Harvard University - 3

Journal of Economic Perspectives - 3

Labor Productivity - 3

Census Bureau Business Dynamics Statistics - 3

Northwestern University - 3

Fabricated Metal Products - 3

World Bank - 3

Journal of International Economics - 3

National Longitudinal Survey of Youth - 3

Computer Aided Design - 3

employed - 66

employ - 61

employee - 52

workforce - 52

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labor - 43

earnings - 39

recession - 39

survey - 36

entrepreneur - 34

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quarterly - 32

entrepreneurship - 30

sector - 28

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agency - 27

worker - 25

market - 24

company - 24

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proprietor - 23

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census bureau - 22

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estimating - 20

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econometric - 19

occupation - 19

proprietorship - 19

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sale - 18

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earner - 18

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longitudinal - 18

report - 18

establishment - 17

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data census - 17

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incorporated - 17

employment data - 17

gdp - 17

manufacturing - 17

statistical - 16

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job - 15

startup - 15

unemployed - 15

endogeneity - 15

economic census - 15

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data - 14

industrial - 14

export - 14

irs - 13

economically - 13

layoff - 13

salary - 13

leverage - 13

heterogeneity - 12

hire - 12

microdata - 12

incentive - 11

labor statistics - 11

financial - 11

bankruptcy - 11

debt - 11

employment statistics - 11

employing - 11

employee data - 11

exporter - 11

econometrician - 10

earn - 10

investment - 10

investor - 10

longitudinal employer - 10

loan - 10

bank - 10

immigrant - 10

matching - 10

employer household - 10

production - 10

import - 10

census business - 9

aggregate - 9

expenditure - 9

socioeconomic - 9

record - 9

business startups - 9

work census - 9

trend - 9

employment estimates - 9

workplace - 9

employment dynamics - 9

prospect - 9

wage data - 9

importer - 9

research census - 9

decline - 8

lender - 8

department - 8

nonemployer businesses - 8

equity - 8

lending - 8

coverage - 8

assessed - 8

patent - 8

innovation - 8

insurance - 8

multinational - 8

business data - 8

tenure - 8

discrimination - 7

corporate - 7

federal - 7

filing - 7

creditor - 7

neighborhood - 7

researcher - 7

statistician - 7

migration - 7

state - 7

merger - 7

spillover - 7

banking - 7

younger firms - 7

funding - 7

residential - 7

startup firms - 7

inventory - 7

clerical - 7

minority - 6

declining - 6

tax - 6

employment count - 6

employment firms - 6

bankrupt - 6

housing - 6

research - 6

yearly - 6

census survey - 6

regress - 6

information census - 6

wholesale - 6

startups employees - 6

turnover - 6

worker demographics - 6

financing - 6

borrowing - 6

migrant - 6

survey income - 6

shock - 6

patenting - 6

corp - 6

ethnicity - 6

workforce indicators - 6

demand - 6

importing - 6

custom - 6

exporting - 6

accounting - 6

censuses surveys - 6

businesses census - 6

census years - 6

measures employment - 6

manufacturer - 6

wage variation - 5

liquidation - 5

segregation - 5

poverty - 5

intergenerational - 5

neighbor - 5

study - 5

relocation - 5

disclosure - 5

executive - 5

subsidiary - 5

identifier - 5

monopolistic - 5

employees startups - 5

opportunity - 5

employment trends - 5

borrower - 5

credit - 5

firms employment - 5

firms young - 5

tariff - 5

immigration - 5

migrate - 5

household surveys - 5

medicaid - 5

pandemic - 5

bias - 5

rent - 5

graduate - 5

healthcare - 5

metropolitan - 5

matched - 5

datasets - 5

imputation - 5

warehousing - 5

downturn - 5

foreign - 5

imported - 5

employment measures - 5

shipment - 5

firms export - 5

trading - 5

linked census - 5

employment earnings - 5

estimation - 5

employment wages - 5

founder - 5

firm growth - 5

firms grow - 5

fluctuation - 5

employed census - 5

productivity growth - 5

aging - 5

endogenous - 5

estimates employment - 5

2010 census - 4

establishments data - 4

profit - 4

earnings employees - 4

debtor - 4

unobserved - 4

applicant - 4

analysis - 4

paper census - 4

exogeneity - 4

shift - 4

employment flows - 4

relocate - 4

retirement - 4

pension - 4

database - 4

firm data - 4

percentile - 4

businesses grow - 4

shareholder - 4

trends employment - 4

wage regressions - 4

mortgage - 4

hispanic - 4

migrating - 4

sampling - 4

income data - 4

ethnic - 4

transition - 4

borrow - 4

impact - 4

career - 4

use census - 4

health insurance - 4

geographically - 4

retail - 4

industry productivity - 4

buyer - 4

exported - 4

census research - 4

linkage - 4

invention - 4

collateral - 4

census use - 4

surveys censuses - 4

exporting firms - 4

ownership - 4

innovative - 4

growth firms - 4

acquirer - 4

census file - 4

growth productivity - 4

technological - 4

contract - 4

regression - 4

restructuring - 4

empirical - 4

assessing - 4

racial - 3

unemployment rates - 3

disparity - 3

employment declines - 3

average - 3

restaurant - 3

taxpayer - 3

wage earnings - 3

segregated - 3

parent - 3

family - 3

parents income - 3

parental - 3

estimates intergenerational - 3

wealth - 3

consolidated - 3

measures productivity - 3

employment effects - 3

firms productivity - 3

area - 3

region - 3

native - 3

labor markets - 3

employment distribution - 3

wages employment - 3

wage growth - 3

firms age - 3

fund - 3

employment entrepreneurship - 3

citizen - 3

survey households - 3

population survey - 3

propensity - 3

provided census - 3

income survey - 3

disadvantaged - 3

earnings growth - 3

estimator - 3

welfare - 3

resident - 3

patented - 3

subsidy - 3

medicare - 3

insured - 3

discrepancy - 3

international trade - 3

country - 3

supplier - 3

firms trade - 3

associate - 3

regressing - 3

compensation - 3

retailer - 3

trade models - 3

recession employment - 3

autoregressive - 3

customer - 3

enrollment - 3

commodity - 3

regional - 3

industry employment - 3

diversification - 3

firms patents - 3

profitability - 3

partnership - 3

classification - 3

wages productivity - 3

heterogeneous - 3

recessionary - 3

stock - 3

volatility - 3

state employment - 3

rates employment - 3

prevalence - 3

technology - 3

measure - 3

firms census - 3

Viewing papers 131 through 140 of 191


  • Working Paper

    Evaluating the Long-Term Effect of NIST MEP Services on Establishment Performance

    March 2015

    Working Paper Number:

    CES-15-09

    This work examines the effects of receipt of business assistance services from the Manufacturing Extension Partnership (MEP) on manufacturing establishment performance. Several measures of performance are considered: (1) change in value-added per employee (a measure of productivity); (2) change in sales per worker; (3) change in employment; and (4) establishment survival. To analyze these relationships, we merged program records from the MEP's client and project information files with administrative records from the Census of Manufacturers and other Census databases over the periods 1997'2002 and 2002'2007 to compare the outcomes and performance of 'served' and 'unserved' manufacturing establishments. The approach builds on, updates, and expands upon earlier studies comparing matched MEP client and non-client performance over time periods ending in 1992 and 2002. Our results generally indicate that MEP services had positive and significant impacts on establishment productivity and sales per worker for the 2002'2007 period with some exceptions based on employment size, industry, and type of service provided. MEP services also increased the probability of establishment survival for the 1997'2007 period. Regardless of econometric model specification, MEP clients with 1'19 employees have statistically significant and higher levels of labor productivity growth. We also observed significant productivity differences associated with MEP services by broad sector, with higher impacts over the 2002'2007 time period in the durable goods manufacturing sector. The study further finds that establishments receiving MEP assistance are more likely to survive than those that do not receive MEP assistance. Detailed findings of the study, as well as caveats and limitations, are discussed in the paper.
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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

    Multiregional Firms and Region Switching in the US Manufacturing Sector

    January 2015

    Authors: Antoine Gervais

    Working Paper Number:

    CES-15-22

    This paper uses data on US manufacturing firms to study a new extensive margin, the reallocation of resources that takes place within surviving firms as they open and close establishments in different regions. To motivate the empirical analysis, I extend existing models of industry dynamics to include production-location decisions within firms. The empirical results provide support for the mechanisms emphasized by the theoretical model. In the data, only about 3 percent of firms make the same product in more than one region, but these multiregional firms are more productive on average compared to single-region firms, and they account for about two-thirds of output. The results also show that "region-switching" is pervasive among multiregional firms, is correlated with changes in firm characteristics, and leads to a more efficient allocation of resources within firms.
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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.
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  • 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).
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  • 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

    THE OPTION TO QUIT: THE EFFECT OF EMPLOYEE STOCK OPTIONS ON TURNOVER

    January 2014

    Working Paper Number:

    CES-14-06

    We show that in the years following a large broad-based employee stock option (BBSO) grant, employee turnover falls at the granting firm. We find evidence consistent with a causal relation by exploiting unexpected changes in the value of unvested options. A large fraction of the reduction in turnover appears to be temporary with turnover increasing in the 3rd year following the year of the adoption of the BBSO plan. We also find that the effect of BBSO plans is larger at market leaders, identified as firms with high industry-adjusted market-to-book ratios, market share or industry-adjusted profit margins, as measured at the time of the grant.
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  • Working Paper

    A COMPARISON OF PERSON-REPORTED INDUSTRY TO EMPLOYER-REPORTED INDUSTRY IN SURVEY AND ADMINISTRATIVE DATA

    September 2013

    Working Paper Number:

    CES-13-47

    The Census Bureau collects industry information through surveys and administrative data and creates associated public-use statistics. In this paper, we compare person-reported industry in the American Community Survey (ACS) to employer-reported industry from the Quarterly Census of Employment and Wages (QCEW) that is part of the Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) program. This research provides necessary information on the use of administrative data as a supplement to survey data industry information, and the findings will be useful for anyone using industry information from either source. Our project is part of a larger effort to compare information on jobs from household survey data to employer-reported information. This research is the first to compare ACS job data to firm-based administrative data. We find an overall industry sector match rate of 75 percent, and a 61 percent match rate at the 4-digit Census Industry Code (CIC) level. Industry match rates vary by sector and by whether industry sector is classified using ACS or LEHD industry information. The educational services and health care and social assistance sectors have among the highest match rates. The management of companies and enterprises sector has the lowest match rate, using either ACS-reported or LEHD-reported sector. For individuals with imputed industry data, the industry sector match rate is only 14 percent. Our findings suggest that the industry distribution and the sample in a particular industry sector will differ depending on whether ACS or LEHD data are used.
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  • Working Paper

    Don't Quit Your Day Job: Using Wage and Salary Earnings to Support a New Business

    September 2013

    Working Paper Number:

    CES-13-45

    This paper makes use of a newly constructed Census Bureau dataset that follows the universe of sole proprietors, employers and non-employers, over 10 years and links their transitions to their activity as employees earning wage and salary income. By combining administrative data on sole proprietors and their businesses with quarterly administrative data on wage and salary jobs held by the same individuals both preceding and concurrent with business startup, we create the unique opportunity to quantify significant workforce dynamics that have up to now remained unobserved. The data allow us to take a first glimpse at these business owners as they initiate business ventures and make the transition from wage and salary work to business ownership and back. We find that the barrier between wage and salary work and self-employment is extremely fluid, with large flows occurring in both directions. We also observe that a large fraction of business owners takeon both roles simultaneously and find that this labor market diversification does have implications for the success of the businesses these owners create. The results for employer transitions to exit and non-employer suggest that there is a 'don't quit your day job' effect that is present for new businesses. Employers are more likely to stay employers if they have a wage and salary job in the year just prior to the transitions that we are tracking. It is especially important to have a stable wage and salary job but there is also evidence that higher earnings from the wage and salary job makes transition less likely. For nonemployers we find roughly similar patterns but there are some key differences. We find that having recent wage and salary income (and having higher earnings from such wage and salary activity) increases the likelihood of survival. Having recent stable wage and salary income decreases the likelihood of a complete exit but increases the likelihood of transiting to be an employer. Having recent wage and salary income in the same industry as the non-employer business has a large and positive impact on the likelihood of transiting to being a non-employer business.
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  • Working Paper

    THE BRIGHT SIDE OF CORPORATE DIVERSIFICATION: EVIDENCE FROM INTERNAL LABOR MARKETS

    August 2013

    Working Paper Number:

    CES-13-40

    We estimate the labor market consequences of corporate diversification using worker-firm matched data from the U.S. Census Bureau. We find evidence that workers in diversified firms have greater cross-industry mobility. Displaced workers experience significantly smaller losses when they move to a firm in a new industry in which their former firm alsooperates. We also find more active internal labor markets in diversified firms. Diversified firms exploit the option to redeploy workers internally from declining to expanding industries. Though diversified firms pay higher wages to retain workers, their labor is also more productive than focused firms of the same size, age, and industry. Overall, internal labor markets provide a bright side to corporate diversification.
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