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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

Quarterly Census of Employment and Wages - 35

Census Bureau Disclosure Review Board - 33

Social Security Administration - 32

American Community Survey - 30

Business Register - 27

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 - 21

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

Census of Manufactures - 18

Disclosure Review Board - 18

Department of Labor - 18

Research Data Center - 18

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

Business Dynamics Statistics - 15

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

Census Bureau Business Register - 12

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

Hypothesis 2 - 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

Technical Services - 7

W-2 - 7

Census Numident - 7

JOLTS - 7

Journal of Labor Economics - 7

Core Based Statistical Area - 7

Kauffman Foundation - 7

Herfindahl Hirschman Index - 6

Educational Services - 6

American Economic Association - 6

Survey of Business Owners - 6

Department of Economics - 6

Census Industry Code - 6

Columbia University - 6

Master Address File - 6

Board of Governors - 6

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

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

Company Organization Survey - 4

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

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

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 - 119

employ - 106

workforce - 101

labor - 80

worker - 69

payroll - 59

earnings - 58

job - 38

hiring - 37

workplace - 33

hire - 30

salary - 30

economist - 29

recession - 28

establishment - 28

tenure - 28

employing - 27

survey - 26

earner - 25

econometric - 25

employment dynamics - 25

occupation - 24

organizational - 23

entrepreneurship - 22

census employment - 22

entrepreneur - 21

longitudinal employer - 20

company - 19

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

entrepreneurial - 14

heterogeneity - 13

production - 13

corporation - 12

corporate - 12

unemployed - 12

employment estimates - 12

growth - 12

bias - 12

proprietorship - 12

employment earnings - 11

shift - 11

employment wages - 11

compensation - 11

ownership - 11

disclosure - 10

acquisition - 10

revenue - 10

endogeneity - 10

workers earnings - 10

estimating - 10

discrimination - 10

manager - 10

employment count - 10

report - 10

data - 10

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

employment flows - 9

statistical - 9

census data - 8

executive - 8

proprietor - 8

department - 8

labor markets - 8

finance - 8

unemployment rates - 8

opportunity - 8

matching - 8

associate - 8

wage variation - 8

sale - 8

aging - 8

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

record - 6

shareholder - 6

trend - 6

irs - 6

rent - 6

earnings growth - 6

estimation - 6

wage effects - 6

respondent - 6

employment measures - 6

union - 6

labor productivity - 6

startup - 6

prospect - 6

startups employees - 6

ethnicity - 6

measures employment - 6

sector - 6

recessionary - 6

minority - 6

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 131 through 140 of 170


  • Working Paper

    Wage Dispersion, Compensation Policy and the Role of Firms

    November 2005

    Authors: Bryce Stephens

    Working Paper Number:

    tp-2005-04

    Empirical work in economics stresses the importance of unobserved firm- and person-level characteristics in the determination of wages, finding that these unobserved components account for the overwhelming majority of variation in wages. However, little is known about the mechanisms sustaining these wage di'er- entials. This paper attempts to demystify the firm-side of the puzzle by developing a statistical model that enriches the role that firms play in wage determination, allowing firms to influence both average wages as well as the returns to observable worker characteristics. I exploit the hierarchical nature of a unique employer-employee linked dataset for the United States, estimating a multilevel statistical model of earnings that accounts for firm-specific deviations in average wages as well as the returns to components of human capital - race, gender, education, and experience - while also controlling for person-level heterogeneity in earnings. These idiosyncratic prices reflect one aspect of firm compensation policy; another, and more novel aspect, is the unstructured characterization of the covariance of these prices across firms. I estimate the model's variance parameters using Restricted (or Residual) Maximum Likelihood tech- niques. Results suggest that there is significant variation in the returns to worker characteristics across firms. First, estimates of the parameters of the covariance matrix of firm-specific returns are statistically significant. Firms that tend to pay higher average wages also tend to pay higher than average returns to worker characteristics; firms that tend to reward highly the human capital of men also highly reward the human capital of women. For instance, the correlation between the firm-specific returns to education for men and women is 0.57. Second, the firm-specific returns account for roughly 9% of the variation in wages - approximately 50% of the variation in wages explained by firm-specific intercepts alone. The inclusion of firm-specific returns ties variation in wages, otherwise attributable to firm-specific intercepts, to observable components of human capital.
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  • Working Paper

    Where Do Manufacturing Firms Locate Their Headquarters?

    October 2005

    Working Paper Number:

    CES-05-17

    Firms' headquarters [HQ] support their production activity, by gathering information and outsourcing business services, as well as, managing, evaluating, and coordinating internal firm activities. In search of locations for these functions, firms often separate the HQ function physically from their production facilities and construct stand-alone HQs. By locating its HQ in a large, service oriented metro area away from its production facilities, a firm may be better able to out-source service functions in that local metro market and also to gather information about market conditions for their products. However if the firm locates the HQ away from its production activity, that increases the coordination costs in managing plant activities. In this paper we empirically analyze the trade-off of these two considerations.
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  • Working Paper

    The Dynamics of Worker Reallocation Within and Across Industries

    June 2005

    Working Paper Number:

    tp-2005-02

    This paper uses an integrated employer-employee data set to answer two key questions: 1. What is the "equilibrium" amount of worker reallocation in the economy - both within and across industries? 2. How much does firm-level job reallocation affect the separation probabilities of workers? Consistent with other work, we find that there is a great deal of reallocation in the economy, although this varies substantially across demographic group. Much worker reallocation is within the economy, roughly evenly split between within and across broadly defined industries. An important new finding is that much of this reallocation is confined to a relatively small subset of workers that is shuffled across jobs - both within and across industries - in the economy. However, we also find that even for the most stable group of workers, firm level job reallocation substantially increases the probability of transition for even the most stable group of workers. Finally, workers who are employed in industries that provide low returns to tenure are much more likely to reallocate both within and across industries.
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  • Working Paper

    Integrated Longitudinal Employee-Employer Data for the United States

    May 2004

    Working Paper Number:

    tp-2004-02

    View Full Paper PDF
  • Working Paper

    The Agglomeration of Headquarters

    February 2004

    Working Paper Number:

    CES-04-02

    This paper uses a micro data set on auxiliary establishments from 1977 to 1997 in order to investigate the determinants of headquarter agglomerations and the underlying economic base of many larger metro areas. The significance of headquarters in large urban settings is their ability to facilitate the spatial separation of their white collar activities from remote production plants. The results show that separation benefits headquarters in two main ways: the availability of di?erentiated local service input suppliers and the scale of other headquarter activity nearby. A wide diversity of local service options allows the headquarters to better match their various needs with specific experts producing service inputs from whom they learn, which improves their productivity. Headquarters also benefit from other headquarter neighbors, although such marginal scale benefits seem to diminish as local scale rises.
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  • Working Paper

    Worker Advancement in the Low-Wage Labor Market: The Importance of Good Jobs

    July 2003

    Working Paper Number:

    tp-2003-08

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  • Working Paper

    How Workers Fare When Employers Innovate

    May 2003

    Working Paper Number:

    CES-03-11

    Complementing existing work on firm organizational structure and productivity, this paper examines the impact of organizational change on workers. We find evidence that employers do appear to compensate at least some of their workers for engaging in high performance workplace practices. We also find a significant association between high performance workplace practices and increased wage inequality. Finally, we examine the relationship between organizational structure and employment changes and find that some practices, such as self-managed teams, are associated with greater employment reductions, while other practices, such as the percentage of workers involved in job rotation, are associated with lower employment reductions.
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  • Working Paper

    Firms and Layoffs: The Impact of Unionization on Involuntary Job Loss

    March 2003

    Working Paper Number:

    CES-03-09

    This paper focuses on the impact of unionization on involuntary job loss using establishment data from the 1997 National Employer Survey (NES-II) and merging those data with contextual data at the industry level as well as with local labor market data. The estimated logit models included information on unionization rates and employment security provisions present in collective bargaining agreements as factors influencing layoff rates for individual establishments, controlling for establishment size, firm structure, use of non-regular employees, product/service demand and local employment. Results show that the impact of unionization is not significant except for (1) establishments that operate in the non-manufacturing sector; and (2) establishments operating in industries that have major collective bargaining agreements which contain moderate employment security provisions. Under those conditions, unionization decreases layoff rates; otherwise, unionization has no effect on layoff rates. These results provide some evidence that unions may have placed increased emphasis on employment security in order to protect members against involuntary job loss. This is in contrast to earlier studies which found a positive relationship between unionization and layoffs. In addition, establishments in Right-to-Work states have higher rates of involuntary job loss.
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  • Working Paper

    The Impact of Minimum Wages on Job Training: An Empirical Exploration with Establishment Data

    February 2003

    Working Paper Number:

    CES-03-04

    Human capital theory suggests that workers may finance on-the-job training by accepting lower wages during the training period. Minimum wage laws could reduce job training, then, to the extent they prevent low-wage workers from offering sufficient wage cuts to finance training. Empirical findings on the relationship between minimum wages and job training have failed to reach a consensus. Previous research has relied primarily on survey data from individual workers, which typically lack both detailed measures of job training and important information about the characteristics of firms. This study addresses the issue of minimum wages and on-the-job training with a unique employer survey. We find no evidence indicating that minimum wages reduce the average hours of training of trained employees, and little to suggest that minimum wages reduce the percentage of workers receiving training.
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  • Working Paper

    The 1990 Decennial Employer-Employee Dataset

    October 2002

    Working Paper Number:

    CES-02-23

    We describe the construction and assessment of a new matched employer-employee data set, the 1990 Decennial Employer-Employee Dataset (1990 DEED). By using place of work name and address, we link workers from the 1990 Long Form Sample to their place of work in the 1990 Standard Statistical Establishment List. The resulting data set is much larger and more representative across regional and industry dimensions than previous matched data sets for the United States. The known strengths and limitations of the data set are discussed in detail.
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