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Papers Containing Keywords(s): 'workplace'

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Longitudinal Employer Household Dynamics - 26

North American Industry Classification System - 22

Center for Economic Studies - 20

Bureau of Labor Statistics - 19

Current Population Survey - 15

Decennial Census - 14

American Community Survey - 14

Quarterly Workforce Indicators - 14

Ordinary Least Squares - 13

National Science Foundation - 13

Quarterly Census of Employment and Wages - 13

Unemployment Insurance - 11

Standard Industrial Classification - 11

Metropolitan Statistical Area - 11

Business Register - 10

Standard Statistical Establishment List - 10

Longitudinal Business Database - 9

Employer Identification Numbers - 9

Internal Revenue Service - 8

Alfred P Sloan Foundation - 8

Local Employment Dynamics - 8

Protected Identification Key - 7

WECD - 7

Social Security Number - 6

Individual Characteristics File - 6

Census Bureau Disclosure Review Board - 6

American Economic Review - 6

Cornell University - 6

Employment History File - 6

LEHD Program - 6

Sample Edited Detail File - 6

University of Chicago - 5

Research Data Center - 5

Employer Characteristics File - 5

Composite Person Record - 5

Office of Personnel Management - 5

Master Address File - 5

Survey of Income and Program Participation - 5

Department of Labor - 5

National Bureau of Economic Research - 5

Employer-Household Dynamics - 5

Postal Service - 5

Economic Census - 5

Business Dynamics Statistics - 4

AKM - 4

Disclosure Review Board - 4

Social Security Administration - 4

Social Security - 4

Core Based Statistical Area - 4

Business Employment Dynamics - 4

Successor Predecessor File - 4

Census of Manufactures - 4

Annual Survey of Manufactures - 4

Cornell Institute for Social and Economic Research - 4

National Employer Survey - 4

Census Industry Code - 3

Office of Management and Budget - 3

National Institute on Aging - 3

International Trade Research Report - 3

Service Annual Survey - 3

University of Maryland - 3

Journal of Labor Economics - 3

Business Master File - 3

Sloan Foundation - 3

American Housing Survey - 3

Business Register Bridge - 3

Financial, Insurance and Real Estate Industries - 3

New York Times - 3

Bureau of Economic Analysis - 3

Labor Turnover Survey - 3

JOLTS - 3

Total Factor Productivity - 3

Standard Occupational Classification - 3

Computer Assisted Telephone Interviews and Computer Assisted Personal Interviews - 3

CATI - 3

Longitudinal Research Database - 3

Viewing papers 41 through 44 of 44


  • Working Paper

    Sex Segregation in U.S. Manufacturing

    June 1996

    Working Paper Number:

    CES-96-04

    This paper studies interplant sex segregation in the U.S. manufacturing industry. The study differs from previous work in that we have detailed information on the characteristics of both workers and firms, and because we measure segregation in a new and better way. We report three main findings. First, there is a substantial amount of interplant sex segregation in the U.S. manufacturing industry, although segregation is far from complete. Second, we find that female managers tend to work in the same plants as female supervisees, even once we control for other plant characteristics. And finally, we find that interplant segregation can account for a substantial fraction of the male/female wage gap in the manufacturing industry, particularly among blue-collar workers.
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  • Working Paper

    The Worker-Establishment Characteristics Database

    June 1995

    Authors: Kenneth R Troske

    Working Paper Number:

    CES-95-10

    A data set combining information on the characteristics of both workers and their employers has long been a grail for labor economists. The reason for this interest is that while a number of theoretical models in labor economics stress the importance of employer-employee matching in determining labor market outcomes, almost all empirical work relies on either worker surveys with little information about employers or establishment surveys with little information about workers. The Worker-Establishment Characteristic Database (WECD) represents just such an employer-employee-matched database. Containing 199,557 manufacturing workers matched to 16,144 manufacturing establishments, the WECD is the largest worker-firm matched data set available for the U.S. This paper describes how this data set was constructed and assesses the usefulness of these data for economic research. In addition, I discuss some of the issues that can be addressed using employer-employee-matched data and plans for creating future versions of the WECD.
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  • Working Paper

    Evidence on the Employer Size-Wage Premium From Worker-Establishment Matched Data

    August 1994

    Authors: Kenneth R Troske

    Working Paper Number:

    CES-94-10

    In spite of the large and growing importance of the employer size-wage premium, previous attempts to account for this phenomenon using observable worker or employer characteristics have met with limited success. The primary reason for this lack of success has been the lack of suitable data. While most theoretical explanations for the size-wage premium are based on the matching of employer and employee characteristics, previous empirical work has relied on either worker surveys with little information about a worker's employer, or establishment surveys with little information about workers. In contrast, this study uses the newly created Worker-Establishment Characteristic Database, which contains linked employer-employee data for a large sample of manufacturing workers and establishments, to examine the employer size-wage premium. The main results are: 1) Examining the cross-plant distribution of the skill of workers shows that managers with larger observable measures of skill work in large plants and firms with production workers with larger observable measures of skill. 2) Results from reduced form wage regressions show that including measures of the amount or type of capital in a worker's plant eliminates the establishment size-wage premium. 3) These results are robust to efforts at correcting for possible bias in the parameter estimates due to sample selection. While these findings are consistent with neoclassical explanations for the size-wage premium that hypothesize that large employers employ more skilled workers, their primary importance is that they show that the employer size-wage premium can be accounted for with employer-employee matched data. As such, these data lend support to models which emphasize the role of employer-employee matching in accounting for both cross-sectional and dynamic aspects of the wage distribution.
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  • Working Paper

    Gender Segregation Small Firms

    October 1992

    Working Paper Number:

    CES-92-13

    This paper studies interfirm gender segregation in a unique sample of small employers. We focus on small firms because previous research on interfirm segregation has studied only large firms and because it is easier to link the demographic characteristics of employers and employees in small firms. This latter feature permits an assessment of the role of employer discrimination in creating gender segregation. Our first finding is that interfirm segregation is prevalent among small employers. Indeed men and women rarely work in fully integrated firms. Our second finding is that the education and gender of the business owner strongly influence the gender composition of a firm's workforce. This suggests that employer discrimination may be an important cause of workplace gender segregation. Finally, we estimate that interfirm segregation can account for up to 50% of the gender gap in annual earnings.
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