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Papers Containing Keywords(s): 'employee'

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Longitudinal Employer Household Dynamics - 105

Longitudinal Business Database - 68

Bureau of Labor Statistics - 68

North American Industry Classification System - 63

Current Population Survey - 60

Employer Identification Numbers - 52

Internal Revenue Service - 50

National Science Foundation - 49

Center for Economic Studies - 47

Alfred P Sloan Foundation - 44

Ordinary Least Squares - 39

Standard Industrial Classification - 37

Census Bureau Disclosure Review Board - 36

Quarterly Census of Employment and Wages - 36

Quarterly Workforce Indicators - 35

Social Security Administration - 33

American Community Survey - 31

Business Register - 28

Unemployment Insurance - 27

Decennial Census - 26

Metropolitan Statistical Area - 26

National Bureau of Economic Research - 25

Protected Identification Key - 23

Cornell University - 23

Federal Statistical Research Data Center - 22

Social Security - 21

Chicago Census Research Data Center - 21

Annual Survey of Manufactures - 20

Economic Census - 20

LEHD Program - 20

Federal Reserve Bank - 19

Social Security Number - 19

International Trade Research Report - 19

Standard Statistical Establishment List - 19

AKM - 18

Census of Manufactures - 18

Disclosure Review Board - 18

Department of Labor - 18

Research Data Center - 18

Survey of Income and Program Participation - 18

Local Employment Dynamics - 17

Business Dynamics Statistics - 16

Employment History File - 16

Individual Characteristics File - 16

Bureau of Economic Analysis - 16

County Business Patterns - 15

Federal Reserve System - 15

Service Annual Survey - 15

National Institute on Aging - 14

Longitudinal Research Database - 14

Census Bureau Business Register - 13

Total Factor Productivity - 13

University of Chicago - 13

Employer Characteristics File - 12

Census Bureau Longitudinal Business Database - 11

Cornell Institute for Social and Economic Research - 11

Special Sworn Status - 11

American Economic Review - 11

Financial, Insurance and Real Estate Industries - 11

Business Employment Dynamics - 10

Department of Homeland Security - 10

Retail Trade - 10

University of Maryland - 9

National Longitudinal Survey of Youth - 9

Census of Manufacturing Firms - 9

Hypothesis 2 - 9

W-2 - 8

University of Michigan - 8

Successor Predecessor File - 8

Characteristics of Business Owners - 8

Business Register Bridge - 8

Labor Turnover Survey - 8

Occupational Employment Statistics - 8

Employer-Household Dynamics - 8

Office of Personnel Management - 8

PSID - 8

Small Business Administration - 7

Survey of Business Owners - 7

2010 Census - 7

Board of Governors - 7

Columbia University - 7

Technical Services - 7

Census Numident - 7

JOLTS - 7

Journal of Labor Economics - 7

Core Based Statistical Area - 7

Kauffman Foundation - 7

Michigan Institute for Teaching and Research in Economics - 6

Herfindahl Hirschman Index - 6

Educational Services - 6

American Economic Association - 6

Department of Economics - 6

Census Industry Code - 6

Master Address File - 6

Quarterly Journal of Economics - 6

Journal of Political Economy - 6

Company Organization Survey - 5

Business Services - 5

Agriculture, Forestry - 5

Multiple Worksite Report - 5

Securities and Exchange Commission - 5

Office of Management and Budget - 5

Boston College - 5

Standard Occupational Classification - 5

Review of Economics and Statistics - 5

Composite Person Record - 5

Federal Tax Information - 5

Department of Health and Human Services - 5

Urban Institute - 5

North American Industry Classi - 5

Harvard University - 5

Business Master File - 5

Probability Density Function - 5

New York Times - 5

Postal Service - 5

Journal of Economic Literature - 5

Department of Commerce - 5

Russell Sage Foundation - 5

Permanent Plant Number - 5

Council of Economic Advisers - 4

Annual Business Survey - 4

NBER Summer Institute - 4

Center for Research in Security Prices - 4

Person Validation System - 4

Health Care and Social Assistance - 4

Ewing Marion Kauffman Foundation - 4

CDF - 4

Cumulative Density Function - 4

Census Bureau Business Dynamics Statistics - 4

Accommodation and Food Services - 4

MIT Press - 4

Cobb-Douglas - 4

Professional Services - 4

Medical Expenditure Panel Survey - 4

University of Minnesota - 4

Journal of Economic Perspectives - 4

BLS Handbook of Methods - 4

University of Toronto - 4

Organization for Economic Cooperation and Development - 4

Wholesale Trade - 4

Public Administration - 4

Integrated Longitudinal Business Database - 4

Department of Defense - 4

Bureau of Labor - 4

Sloan Foundation - 4

American Housing Survey - 4

Census 2000 - 4

Federal Reserve Bank of Chicago - 4

American Statistical Association - 4

Census of Retail Trade - 4

1940 Census - 4

Sample Edited Detail File - 4

Computer Assisted Telephone Interviews and Computer Assisted Personal Interviews - 4

CATI - 4

WECD - 4

National Employer Survey - 4

National Establishment Time Series - 3

Federal Trade Commission - 3

National Center for Science and Engineering Statistics - 3

Data Management System - 3

Management and Organizational Practices Survey - 3

DOB - 3

Arts, Entertainment - 3

Agency for Healthcare Research and Quality - 3

United States Census Bureau - 3

Federal Insurance Contribution Act - 3

Disability Insurance - 3

Health and Retirement Study - 3

UC Berkeley - 3

Federal Reserve Board of Governors - 3

National Income and Product Accounts - 3

Information and Communication Technology Survey - 3

LEHD Origin-Destination Employment Statistics - 3

Initial Public Offering - 3

Indian Health Service - 3

HHS - 3

Ohio State University - 3

Current Employment Statistics - 3

Society of Labor Economists - 3

Housing and Urban Development - 3

Journal of Econometrics - 3

Kauffman Firm Survey - 3

Generalized Method of Moments - 3

National Research Council - 3

Computer Assisted Personal Interview - 3

Consolidated Metropolitan Statistical Areas - 3

Survey of Manufacturing Technology - 3

employed - 121

employ - 108

workforce - 103

labor - 82

worker - 69

payroll - 60

earnings - 59

job - 38

hiring - 37

workplace - 33

hire - 30

salary - 30

establishment - 29

tenure - 29

economist - 29

recession - 28

employing - 27

earner - 26

survey - 26

organizational - 25

econometric - 25

employment dynamics - 25

occupation - 24

census employment - 23

entrepreneurship - 23

entrepreneur - 22

agency - 21

longitudinal employer - 20

quarterly - 19

company - 19

industrial - 19

enterprise - 18

venture - 18

longitudinal - 18

employment statistics - 18

turnover - 17

earn - 17

employment growth - 17

employee data - 17

layoff - 16

employment data - 16

labor statistics - 15

entrepreneurial - 15

census bureau - 15

incentive - 15

manufacturing - 15

employer household - 15

corporate - 13

heterogeneity - 13

production - 13

corporation - 12

unemployed - 12

employment estimates - 12

growth - 12

bias - 12

proprietorship - 12

discrimination - 11

employment count - 11

revenue - 11

employment earnings - 11

shift - 11

employment wages - 11

compensation - 11

ownership - 11

profit - 10

earnings employees - 10

earnings workers - 10

founder - 10

disclosure - 10

acquisition - 10

endogeneity - 10

workers earnings - 10

estimating - 10

manager - 10

report - 10

data - 10

unemployment rates - 9

proprietor - 9

wage variation - 9

effect wages - 9

work census - 9

immigrant - 9

wage industries - 9

wage data - 9

workforce indicators - 9

estimates employment - 9

data census - 9

wages employment - 9

clerical - 9

economic census - 9

employment flows - 9

statistical - 9

census data - 8

executive - 8

department - 8

labor markets - 8

finance - 8

opportunity - 8

matching - 8

associate - 8

sale - 8

aging - 8

minority - 7

sector - 7

irs - 7

startup - 7

startups employees - 7

merger - 7

incorporated - 7

investment - 7

employment effects - 7

worker demographics - 7

worker wages - 7

gdp - 7

woman - 7

microdata - 7

productive - 7

owner - 7

macroeconomic - 7

research census - 7

segregation - 7

expenditure - 6

wage earnings - 6

retirement - 6

record - 6

shareholder - 6

trend - 6

rent - 6

earnings growth - 6

estimation - 6

wage effects - 6

respondent - 6

employment measures - 6

union - 6

labor productivity - 6

prospect - 6

ethnicity - 6

measures employment - 6

recessionary - 6

decline - 5

aggregate - 5

federal - 5

population - 5

tax - 5

socioeconomic - 5

employment firms - 5

effects employment - 5

takeover - 5

investor - 5

employment trends - 5

imputation - 5

leverage - 5

earnings age - 5

statistician - 5

industry wages - 5

wage differences - 5

earnings inequality - 5

wage changes - 5

insurance - 5

metropolitan - 5

accounting - 5

startup firms - 5

employment changes - 5

industry employment - 5

regression - 5

wage regressions - 5

rates employment - 5

residential - 5

hispanic - 5

specialization - 5

managerial - 5

employment production - 5

technological - 5

racial - 4

employment declines - 4

market - 4

establishments data - 4

funding - 4

unobserved - 4

relocation - 4

trends employment - 4

export - 4

financial - 4

exogeneity - 4

impact employment - 4

transition - 4

immigration - 4

outsourcing - 4

analysis - 4

productivity differences - 4

efficiency - 4

medicaid - 4

ssa - 4

census research - 4

state employment - 4

gender - 4

job growth - 4

rural - 4

censuses surveys - 4

researcher - 4

unemployment insurance - 4

owned businesses - 4

business data - 4

endogenous - 4

employees startups - 4

employment entrepreneurship - 4

wages productivity - 4

segregated - 4

technology - 4

declining - 3

census business - 3

disparity - 3

information census - 3

database - 3

subsidiary - 3

firm data - 3

wage gap - 3

earnings gap - 3

spillover - 3

employment distribution - 3

younger firms - 3

firms employment - 3

firms age - 3

firms size - 3

migrant - 3

immigrant workers - 3

expense - 3

outsourced - 3

econometrician - 3

women earnings - 3

wage growth - 3

reporting - 3

stock - 3

coverage employer - 3

linked census - 3

household surveys - 3

datasets - 3

housing - 3

regress - 3

recession employment - 3

innovation - 3

competitor - 3

firms young - 3

demand - 3

growth employment - 3

profitability - 3

use census - 3

nonemployer businesses - 3

career - 3

contract - 3

business owners - 3

heterogeneous - 3

residence - 3

business startups - 3

ethnic - 3

partnership - 3

customer - 3

management - 3

performance - 3

pension - 3

network - 3

insured - 3

insurance employer - 3

white - 3

surveys censuses - 3

citizen - 3

educated - 3

franchising - 3

econometrically - 3

model - 3

poverty - 3

paper census - 3

firm growth - 3

firms plants - 3

Viewing papers 31 through 40 of 174


  • Working Paper

    Location, Location, Location

    October 2021

    Working Paper Number:

    CES-21-32R

    We use data from the Longitudinal Employer-Household Dynamics program to study the causal effects of location on earnings. Starting from a model with employer and employee fixed effects, we estimate the average earnings premiums associated with jobs in different commuting zones (CZs) and different CZ-industry pairs. About half of the variation in mean wages across CZs is attributable to differences in worker ability (as measured by their fixed effects); the other half is attributable to place effects. We show that the place effects from a richly specified cross sectional wage model overstate the causal effects of place (due to unobserved worker ability), while those from a model that simply adds person fixed effects understate the causal effects (due to unobserved heterogeneity in the premiums paid by different firms in the same CZ). Local industry agglomerations are associated with higher wages, but overall differences in industry composition and in CZ-specific returns to industries explain only a small fraction of average place effects. Estimating separate place effects for college and non-college workers, we find that the college wage gap is bigger in larger and higher-wage places, but that two-thirds of this variation is attributable to differences in the relative skills of the two groups in different places. Most of the remaining variation reflects the enhanced sorting of more educated workers to higher-paying industries in larger and higher-wage CZs. Finally, we find that local housing costs at least fully offset local pay premiums, implying that workers who move to larger CZs have no higher net-of-housing consumption.
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  • Working Paper

    Pay, Productivity and Management

    September 2021

    Working Paper Number:

    CES-21-31

    Using confidential Census matched employer-employee earnings data we find that employees at more productive firms, and firms with more structured management practices, have substantially higher pay, both on average and across every percentile of the pay distribution. This pay-performance relationship is particularly strong amongst higher paid employees, with a doubling of firm productivity associated with 11% more pay for the highest-paid employee (likely the CEO) compared to 4.7% for the median worker. This pay-performance link holds in public and private firms, although it is almost twice as strong in public firms for the highest-paid employees. Top pay volatility is also strongly related to productivity and structured management, suggesting this performance-pay relationship arises from more aggressive monitoring and incentive practices for top earners.
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  • Working Paper

    Cyclical Worker Flows: Cleansing vs. Sullying

    May 2021

    Working Paper Number:

    CES-21-10

    Do recessions speed up or impede productivity-enhancing reallocation? To investigate this question, we use U.S. linked employer-employee data to examine how worker flows contribute to productivity growth over the business cycle. We find that in expansions high-productivity firms grow faster primarily by hiring workers away from lower-productivity firms. The rate at which job-to-job flows move workers up the productivity ladder is highly procyclical. Productivity growth slows during recessions when this job ladder collapses. In contrast, flows into nonemployment from low productivity firms disproportionately increase in recessions, which leads to an increase in productivity growth. We thus find evidence of both sullying and cleansing effects of recessions, but the timing of these effects differs. The cleansing effect dominates early in downturns but the sullying effect lingers well into the economic recovery.
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  • Working Paper

    Female Executives and the Motherhood Penalty

    January 2021

    Working Paper Number:

    CES-21-03

    Childbirth and subsequent breaks from the labor market are a primary reason why the average earnings of women is lower than that of men. This paper uses linked survey and administrative data from the United States to investigate whether the sex composition of executives at the firm, defined as the top earners, affects the earnings and employment outcomes of new mothers. We begin by documenting that (i) the male-female earnings gap is smaller in industries in which a larger share of executives are women, and (ii) the male-female earnings gap has declined more in industries that have experienced larger increases in the share of executives who are female. Despite these cross-sectional and longitudinal correlations, we find no evidence that the sex composition of the executives at the firm has a causal effect on the childbirth and motherhood penalties that impact women's earnings and employment.
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  • Working Paper

    Business Formation: A Tale of Two Recessions

    January 2021

    Working Paper Number:

    CES-21-01

    The trajectory of new business applications and transitions to employer businesses differ markedly during the Great Recession and COVID-19 Recession. Both applications and transitions to employer startups decreased slowly but persistently in the post-Lehman crisis period of the Great Recession. In contrast, during the COVID-19 Recession new applications initially declined but have since sharply rebounded, resulting in a surge in applications during 2020. Projected transitions to employer businesses also rise but this is dampened by a change in the composition of applications in 2020 towards applications that are more likely to be nonemployers.
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  • Working Paper

    Entrepreneurial Teams: Diversity of Skills and Early-Stage Growth

    December 2020

    Working Paper Number:

    CES-20-45

    We use employer-employee linked data to track the employment histories of team members prior to startup formation for a full cohort of new firms in the U.S. Using pre-startup industry experience to measure skillsets, we find that startups that have founding teams with more diverse collective skillsets grow faster than peer firms in the same industries and local economies. A one standard deviation increase in teams' skill diversity is associated with an increase in five-year employment (sales) growth of 16% (10%) from the mean. The effects are stronger among startups in innovative industries and among startups facing greater ex-ante uncertainty. Moreover, the results are robust to a variety of approaches to address the endogeneity of team composition. Overall, our results suggest that teams with more diverse collective skillsets adapt their strategies more successfully in the uncertain environments faced by (innovative) startup firms.
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  • Working Paper

    Immigration and Entrepreneurship in the United States

    December 2020

    Working Paper Number:

    CES-20-44

    Immigrants can expand labor supply and compete for jobs with native-born workers. But immigrants may also start new firms, expanding labor demand. This paper uses U.S. administrative data and other data sources to study the role of immigrants in entrepreneurship. We ask how often immigrants start companies, how many jobs these firms create, and how firms founded by native-born individuals compare. A simple model provides a measurement framework for addressing the dual roles of immigrants as founders and workers. The findings suggest that immigrants act more as 'job creators' than 'job takers' and play outsized roles in U.S. high-growth entrepreneurship.
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  • Working Paper

    Twisting the Demand Curve: Digitalization and the Older Workforce

    November 2020

    Working Paper Number:

    CES-20-37

    This paper uses U.S. Census Bureau panel data that link firm software investment to worker earnings. We regress the log of earnings of workers by age group on the software investment by their employing firm. To unpack the potential causal factors for differential software effects by age group we extend the AKM framework by including job-spell fixed effects that allow for a correlation between the worker-firm match and age and by including time-varying firm effects that allow for a correlation between wage-enhancing productivity shocks and software investments. Within job-spell, software capital raises earnings at a rate that declines post age 50 to about zero after age 65. By contrast, the effects of non-IT equipment investment on earnings increase for workers post age 50. The difference between the software and non-IT equipment effects suggests that our results are attributable to the technology rather than to age-related bargaining power. Our data further show that software capital increases the earnings of high-wage workers relative to low-wage workers and the earnings in high-wage firms relative to low-wage firms, and may thus widen earnings inequality within and across firms.
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  • Working Paper

    Male Earnings Volatility in LEHD before, during, and after the Great Recession

    September 2020

    Working Paper Number:

    CES-20-31

    This paper is part of a coordinated collection of papers on prime-age male earnings volatility. Each paper produces a similar set of statistics for the same reference population using a different primary data source. Our primary data source is the Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) infrastructure files. Using LEHD data from 1998 to 2016, we create a well-defined population frame to facilitate accurate estimation of temporal changes comparable to designed longitudinal samples of people. We show that earnings volatility, excluding increases during recessions, has declined over the analysis period, a finding robust to various sensitivity analyses. Although we find volatility is declining, the effect is not homogeneous, particularly for workers with tenuous labor force attachment for whom volatility is increasing. These 'not stable' workers have earnings volatility approximately 30 times larger than stable workers, but more important for earnings volatility trends we observe a large increase in the share of stable employment from 60% in 1998 to 67% in 2016, which we show to largely be responsible for the decline in overall earnings volatility. To further emphasize the importance of not stable and/or low earning workers we also conduct comparisons with the PSID and show how changes over time in the share of workers at the bottom tail of the cross-sectional earnings distributions can produce either declining or increasing earnings volatility trends.
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  • Working Paper

    Total Error and Variability Measures for the Quarterly Workforce Indicators and LEHD Origin Destination Employment Statistics in OnTheMap

    September 2020

    Working Paper Number:

    CES-20-30

    We report results from the first comprehensive total quality evaluation of five major indicators in the U.S. Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) Program Quarterly Workforce Indicators (QWI): total flow-employment, beginning-of-quarter employment, full quarter employment, average monthly earnings of full-quarter employees, and total quarterly payroll. Beginning-of-quarter employment is also the main tabulation variable in the LEHD Origin-Destination Employment Statistics (LODES) workplace reports as displayed in On-TheMap (OTM), including OnTheMap for Emergency Management. We account for errors due to coverage; record-level non response; edit and imputation of item missing data; and statistical disclosure limitation. The analysis reveals that the five publication variables under study are estimated very accurately for tabulations involving at least 10 jobs. Tabulations involving three to nine jobs are a transition zone, where cells may be fit for use with caution. Tabulations involving one or two jobs, which are generally suppressed on fitness-for-use criteria in the QWI and synthesized in LODES, have substantial total variability but can still be used to estimate statistics for untabulated aggregates as long as the job count in the aggregate is more than 10.
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