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Papers Containing Keywords(s): 'employee'

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Longitudinal Employer Household Dynamics - 102

Bureau of Labor Statistics - 67

Longitudinal Business Database - 65

Current Population Survey - 60

North American Industry Classification System - 59

Employer Identification Numbers - 49

National Science Foundation - 49

Internal Revenue Service - 47

Center for Economic Studies - 47

Alfred P Sloan Foundation - 44

Ordinary Least Squares - 39

Standard Industrial Classification - 36

Quarterly Workforce Indicators - 35

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American Community Survey - 30

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Decennial Census - 26

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Chicago Census Research Data Center - 21

Annual Survey of Manufactures - 20

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LEHD Program - 20

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International Trade Research Report - 19

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Disclosure Review Board - 18

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Survey of Income and Program Participation - 18

AKM - 17

Local Employment Dynamics - 17

Bureau of Economic Analysis - 16

Service Annual Survey - 15

Individual Characteristics File - 15

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Employment History File - 15

Federal Reserve System - 14

County Business Patterns - 14

National Institute on Aging - 14

Longitudinal Research Database - 14

Total Factor Productivity - 13

University of Chicago - 13

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Employer Characteristics File - 11

Cornell Institute for Social and Economic Research - 11

Special Sworn Status - 11

American Economic Review - 11

Financial, Insurance and Real Estate Industries - 11

Census Bureau Longitudinal Business Database - 10

Department of Homeland Security - 10

Retail Trade - 10

National Longitudinal Survey of Youth - 9

Census of Manufacturing Firms - 9

Business Employment Dynamics - 9

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

University of Maryland - 8

PSID - 8

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Journal of Labor Economics - 7

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American Economic Association - 6

Survey of Business Owners - 6

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2010 Census - 6

Quarterly Journal of Economics - 6

Journal of Political Economy - 6

Small Business Administration - 6

Securities and Exchange Commission - 5

Office of Management and Budget - 5

Michigan Institute for Teaching and Research in Economics - 5

Boston College - 5

Standard Occupational Classification - 5

Review of Economics and Statistics - 5

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Department of Health and Human Services - 5

Urban Institute - 5

North American Industry Classi - 5

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New York Times - 5

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Journal of Economic Literature - 5

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Center for Research in Security Prices - 4

Person Validation System - 4

Agriculture, Forestry - 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

Business Services - 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

Federal Trade Commission - 3

NBER Summer Institute - 3

National Center for Science and Engineering Statistics - 3

Annual Business Survey - 3

Data Management System - 3

Council of Economic Advisers - 3

Management and Organizational Practices Survey - 3

DOB - 3

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Agency for Healthcare Research and Quality - 3

United States Census Bureau - 3

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Health and Retirement Study - 3

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Information and Communication Technology Survey - 3

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Current Employment Statistics - 3

Society of Labor Economists - 3

Housing and Urban Development - 3

Journal of Econometrics - 3

Kauffman Firm Survey - 3

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National Research Council - 3

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Survey of Manufacturing Technology - 3

employed - 119

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tenure - 28

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earner - 25

econometric - 25

employment dynamics - 25

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entrepreneurship - 22

census employment - 22

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longitudinal employer - 20

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agency - 19

industrial - 19

employment statistics - 18

enterprise - 17

earn - 17

longitudinal - 17

employment growth - 17

quarterly - 17

employee data - 17

venture - 17

layoff - 16

turnover - 16

employment data - 16

census bureau - 15

incentive - 15

manufacturing - 15

employer household - 15

labor statistics - 14

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heterogeneity - 13

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corporation - 12

corporate - 12

unemployed - 12

employment estimates - 12

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bias - 12

proprietorship - 12

employment earnings - 11

shift - 11

employment wages - 11

compensation - 11

ownership - 11

disclosure - 10

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revenue - 10

endogeneity - 10

workers earnings - 10

estimating - 10

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manager - 10

employment count - 10

report - 10

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effect wages - 9

earnings employees - 9

profit - 9

work census - 9

immigrant - 9

earnings workers - 9

wage industries - 9

wage data - 9

workforce indicators - 9

estimates employment - 9

data census - 9

founder - 9

wages employment - 9

clerical - 9

economic census - 9

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earnings growth - 6

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employment measures - 6

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startup - 6

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startups employees - 6

ethnicity - 6

measures employment - 6

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recessionary - 6

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effects employment - 5

wage earnings - 5

takeover - 5

investor - 5

employment trends - 5

imputation - 5

leverage - 5

earnings age - 5

expenditure - 5

statistician - 5

industry wages - 5

wage differences - 5

earnings inequality - 5

wage changes - 5

insurance - 5

retirement - 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

unobserved - 4

relocation - 4

trends employment - 4

export - 4

financial - 4

exogeneity - 4

tax - 4

impact employment - 4

transition - 4

immigration - 4

outsourcing - 4

analysis - 4

aggregate - 4

productivity differences - 4

efficiency - 4

federal - 4

medicaid - 4

ssa - 4

census research - 4

decline - 4

state employment - 4

gender - 4

job growth - 4

rural - 4

population - 4

censuses surveys - 4

researcher - 4

unemployment insurance - 4

owned businesses - 4

business data - 4

endogenous - 4

employees startups - 4

employment entrepreneurship - 4

socioeconomic - 4

wages productivity - 4

segregated - 4

technology - 4

information census - 3

database - 3

subsidiary - 3

firm data - 3

wage gap - 3

earnings gap - 3

market - 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

funding - 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

establishments data - 3

management - 3

performance - 3

pension - 3

network - 3

insured - 3

insurance employer - 3

white - 3

racial - 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 170


  • 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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  • Working Paper

    Taking the Leap: The Determinants of Entrepreneurs Hiring their First Employee

    January 2016

    Working Paper Number:

    CES-16-48

    Job creation is one of the most important aspects of entrepreneurship, but we know relatively little about the hiring patterns and decisions of startups. Longitudinal data from the Integrated Longitudinal Business Database (iLBD), Kauffman Firm Survey (KFS), and the Growing America through Entrepreneurship (GATE) experiment are used to provide some of the first evidence in the literature on the determinants of taking the leap from a non-employer to employer firm among startups. Several interesting patterns emerge regarding the dynamics of non-employer startups hiring their first employee. Hiring rates among the universe of non-employer startups are very low, but increase when the population of non-employers is focused on more growth-oriented businesses such as incorporated and EIN businesses. If non-employer startups hire, the bulk of hiring occurs in the first few years of existence. After this point in time relatively few non-employer startups hire an employee. Focusing on more growth- and employment-oriented startups in the KFS, we find that Asian-owned and Hispanic-owned startups have higher rates of hiring their first employee than white-owned startups. Female-owned startups are roughly 10 percentage points less likely to hire their first employee by the first, second and seventh years after startup. The education level of the owner, however, is not found to be associated with the probability of hiring an employee. Among business characteristics, we find evidence that business assets and intellectual property are associated with hiring the first employee. Using data from the largest random experiment providing entrepreneurship training in the United States ever conducted, we do not find evidence that entrepreneurship training increases the likelihood that non-employers hire their first employee.
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  • Working Paper

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

    January 2016

    Working Paper Number:

    CES-16-45

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

    The Shifting Job Tenure Distribution

    January 2016

    Working Paper Number:

    CES-16-12R

    There has been a shift in the U.S. job tenure distribution toward longer-duration jobs since 2000. This change is apparent both in the tenure supplements to the Current Population Survey and in matched employer-employee data. A substantial portion of this shift can be accounted for by the ageing of the workforce and the decline in the entry rate of new employer businesses. This shift is accounted for more by declines in the hiring rate, which are concentrated in the labor market downturns associated with the 2001 and 2007-2009 recessions, rather than declines in separation rates. The increase in average real earnings since 2007 is less than what would be predicted by the shift toward longer-tenure jobs because of declines in tenure-held-constant real earnings. Regression estimates of the returns to job tenure provide no evidence that the shift in the job tenure distribution is being driven by better matches between workers and employers.
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  • Working Paper

    Immigrant Diversity and Complex Problem Solving

    January 2016

    Working Paper Number:

    CES-16-04

    In the growing literature exploring the links between immigrant diversity and worker productivity, recent evidence strongly suggests that diversity generates productivity improvements. However, even the most careful extant empirical work remains at some remove from the mechanisms that theory says underlie this relationship: interpersonal interaction in the service of complex problem solving. This paper aims to `stress-test' these theoretical foundations, by observing how the relationship between diversity and productivity varies across workers differently engaged in complex problem solving and interaction. Using a uniquely comprehensive matched employer-employee dataset for the United States between 1991 and 2008, this paper shows that growing immigrant diversity inside cities and workplaces offers much stronger benefits for workers intensively engaged in various forms of complex problem solving, including tasks involving high levels of innovation, creativity, and STEM. Moreover, such effects are considerably stronger for those whose work requires high levels of both problem solving and interaction.
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