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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 61 through 70 of 174


  • Working Paper

    Reservation Employer Establishments: Data from the U.S. Census Longitudinal Business Database

    January 2017

    Working Paper Number:

    CES-17-57

    The presence of employers and jobs on American Indian reservations has been difficult to analyze due to limited data. We are the first to geocode confidential data on employer establishments from the U.S. Census Longitudinal Business Database to identify location on or off American Indian reservations. We identify the per capita establishment count and jobs in reservation-based employer establishments for most federally recognized reservations. Comparisons to nearby non-reservation areas in the lower 48 states across 18 industries reveal that reservations have a similar sectoral distribution of employer establishments but have significantly fewer of them in nearly all sectors, especially when the area population is below 15,000 (as it is on the vast majority of reservations and for the majority of the reservation population). By contrast, the total number of jobs provided by reservation establishments is, on average, at par with or somewhat higher than in nearby county areas but is concentrated among casino-related and government employers. An implication is that average job numbers per establishment are higher in these sectors on reservations, including those with populations below 15,000, while the remaining industries are typically sparser within reservations (in firm count and jobs per capita). Geographic and demographic factors, such as population density and per capita income, statistically account for some but not all of these differences.
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  • Working Paper

    Hours Off the Clock

    January 2017

    Authors: Andrew S. Green

    Working Paper Number:

    CES-17-44

    To what extent do workers work more hours than they are paid for? The relationship between hours worked and hours paid, and the conditions under which employers can demand more hours 'off the clock,' is not well understood. The answer to this question impacts worker welfare, as well as wage and hour regulation. In addition, work off the clock has important implications for the measurement and cyclical movement of productivity and wages. In this paper, I construct a unique administrative dataset of hours paid by employers linked to a survey of workers on their reported hours worked to measure work off the clock. Using cross-sectional variation in local labor markets, I find only a small cyclical component to work off the clock. The results point to labor hoarding rather than efficiency wage theory, indicating work off the clock cannot explain the counter-cyclical movement of productivity. I find workers employed by small firms, and in industries with a high rate of wage and hour violations are associated with larger differences in hours worked than hours paid. These findings suggest the importance of tracking hours of work for enforcement of labor regulations.
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  • Working Paper

    Sorting Between and Within Industries: A Testable Model of Assortative Matching

    January 2017

    Working Paper Number:

    CES-17-43

    We test Shimer's (2005) theory of the sorting of workers between and within industrial sectors based on directed search with coordination frictions, deliberately maintaining its static general equilibrium framework. We fit the model to sector-specific wage, vacancy and output data, including publicly-available statistics that characterize the distribution of worker and employer wage heterogeneity across sectors. Our empirical method is general and can be applied to a broad class of assignment models. The results indicate that industries are the loci of sorting-more productive workers are employed in more productive industries. The evidence confirm that strong assortative matching can be present even when worker and employer components of wage heterogeneity are weakly correlated.
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  • Working Paper

    Developing a Residence Candidate File for Use With Employer-Employee Matched Data

    January 2017

    Working Paper Number:

    CES-17-40

    This paper describes the Longitudinal Employer-Household Dynamics (LEHD) program's ongoing efforts to use administrative records in a predictive model that describes residence locations for workers. This project was motivated by the discontinuation of a residence file produced elsewhere at the U.S. Census Bureau. The goal of the Residence Candidate File (RCF) process is to provide the LEHD Infrastructure Files with residence information that maintains currency with the changing state of administrative sources and represents uncertainty in location as a probability distribution. The discontinued file provided only a single residence per person/year, even when contributing administrative data may have contained multiple residences. This paper describes the motivation for the project, our methodology, the administrative data sources, the model estimation and validation results, and the file specifications. We find that the best prediction of the person-place model provides similar, but superior, accuracy compared with previous methods and performs well for workers in the LEHD jobs frame. We outline possibilities for further improvement in sources and modeling as well as recommendations on how to use the preference weights in downstream processing.
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  • Working Paper

    Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data

    January 2017

    Working Paper Number:

    CES-17-24

    Using earnings data from the U.S. Census Bureau, this paper analyzes the role of the employer in explaining the rise in earnings inequality in the United States. We first establish a consistent frame of analysis appropriate for administrative data used to study earnings inequality. We show that the trends in earnings inequality in the administrative data from the Longitudinal Employer-Household Dynamics Program are inconsistent with other data sources when we do not correct for the presence of misused SSNs. After this correction to the worker frame, we analyze how the earnings distribution has changed in the last decade. We present a decomposition of the year-to-year changes in the earnings distribution from 2004-2013. Even when simplifying these flows to movements between the bottom 20%, the middle 60% and the top 20% of the earnings distribution, about 20.5 million workers undergo a transition each year. Another 19.9 million move between employment and nonemployment. To understand the role of the firm in these transitions, we estimate a model for log earnings with additive fixed worker and firm effects using all jobs held by eligible workers from 2004-2013. We construct a composite log earnings firm component across all jobs for a worker in a given year and a non-firm component. We also construct a skill-type index. We show that, while the difference between working at a low-or middle-paying firm are relatively small, the gains from working at a top-paying firm are large. Specifically, the benefits of working for a high-paying firm are not only realized today, through higher earnings paid to the worker, but also persist through an increase in the probability of upward mobility. High-paying firms facilitate moving workers to the top of the earnings distribution and keeping them there.
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  • Working Paper

    Destructive Creation at Work: How Financial Distress Spurs Entrepreneurship

    January 2017

    Authors: Tania Babina

    Working Paper Number:

    CES-17-19

    Using US Census employer-employee matched data, I show that employer financial distress accelerates the exit of employees to found start-ups. This effect is particularly evident when distressed firms are less able to enforce contracts restricting employee mobility into competing firms. Entrepreneurs exiting financially distressed employers earn higher wages prior to the exit and after founding start-ups, compared to entrepreneurs exiting non-distressed firms. Consistent with distressed firms losing higher-quality workers, their start-ups have higher average employment and payroll growth. The results suggest that the social costs of distress might be lower than the private costs to financially distressed firms.
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  • 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

    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

    Measuring the Effects of the Tipped Minimum Wage Using W-2 Data

    June 2016

    Authors: Maggie R. Jones

    Working Paper Number:

    carra-2016-03

    While an extensive literature exists on the effects of federal and state minimum wages, the minimum wage received by tipped workers has received less attention. Researchers have found it difficult to capture the hourly wages of tipped workers and thus assess the economic effects of the tipped minimum wage. In this paper, I present a new measure of hourly wages for tipped servers (wait staff and bartenders) using linked W-2 and survey data. I estimate the effect of tipped minimum wages on the wages and hourly tips of servers, as well as server employment and hours worked. I find that higher mandatory tipped minimum wages increase that portion of wages paid by employers, but decrease tip income by a similar percentage. I also find evidence that employment increases over lower values of the tipped minimum wage and then decreases at higher values. These results are consistent with a monopsony model of server employment. The wide variance of tipped minimum wages compared to non-tipped minimums provide insight into monopsony effects that may not be discernible over a smaller range of minimum wage values.
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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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