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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

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

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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

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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 161 through 170 of 170


  • Working Paper

    LOCALIZED EFFECTS OF CALIFORNIA'S MILITARY BASE REALIGNMENTS: EVIDENCE FROM MULTI-SECTOR LONGITUDINAL MICRODATA

    December 1998

    Authors: C.J. Krizan

    Working Paper Number:

    CES-98-19

    Cuts in U.S. Department of Defense budgets have led to changes in the personnel levels at military bases throughout the United States. Because these bases are often significant sources of civilian and military employment and also provide customers for local businesses, closing them distresses local citizens, business leaders and politicians. In, Defense Secretary William Cohen launched a new drive to close dozens more military bases. Given the timeliness and magnitude of these actions, and in light of the predictions of hardship surrounding them, it is important to realistically assess the impact of substantial personnel changes at military bases on employment at neighboring businesses. This study utilizes a new and uniquely well-suited confidential dataset to analyze this issue at the level closures' impact are thought to occur: individual establishments and their employees. Using an establishment-level panel dataset that covers all private establishments in California with positive employment from 1989 to 1996, I examine how the employment dynamics of establishments across the full spectrum of industries are affected by personnel changes at nearby military bases and find that despite establishments' growth rates declining, more establishments going out of business and fewer new ones starting, when bases close workers' employment prospects actually improve.
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  • Working Paper

    The Structure of Firm R&D and the Factor Intensity of Production

    October 1997

    Authors: James D Adams

    Working Paper Number:

    CES-97-15

    This paper studies the influence of the structure of firm R&D, industry R&D spillovers, and plant level physical capital on the factor intensity of production. By the structure of firm R&D we mean its distribution across states and products. By factor intensity we mean the cost shares of variable factors, which in this paper are blue collar labor, white collar labor, and materials. We characterize the effect of the structure of firm R&D on factor intensity using a Translog cost function with quasi-fixed factors. This cost function gives rise to a system of variable cost shares that depends on factor prices, firm and industry R&D, and physical capital.
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  • Working Paper

    Understanding Selection Processes: Organization Determinants and Performance Outcomes

    October 1997

    Working Paper Number:

    CES-97-14

    We use an establishment-level survey to examine the predictors of different types of selection practices as well as the relationship of different selection practices to organizational performance. We find that a wide range of contingencies in the organization, including job requirements, organizational size, union status, salary, and training, predict the intensity and the types of selection practices used. Further, we find that selection intensity has a significant and negative relationship with organizational sales, other things equal, that is driven by the use of less valid selection techniques.
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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

    Decomposing Learning By Doing in New Plants

    December 1992

    Working Paper Number:

    CES-92-16

    The paper examines learning by doing in the context of a production function in which the other arguments are labor, human capital, physical capital, and vintage as a proxy for embodied technical change in physical capital. Learning is further decomposed into organization learning, capital learning, and manual task learning. The model is tested with time series and cross section data for various samples of up to 2,150 plants over a 14 year period. Word Perfect Version
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  • Working Paper

    Wages, Employer Size-Wage Premia and Employment Structure: Their Relationship to Advanced-Technology Usage at U.S. Manufacturing Establishments

    December 1992

    Working Paper Number:

    CES-92-15

    We study wages, size-wage premia and the employment structure (measured as the fraction of production workers in an establishment) and their relationship to the extent of advanced-technology usage at U.S, manufacturing plants. We begin by sketching a model of technology adoption based on Lucas (1978) that provides a framework for interpreting the data analysis. We then study a new Census Bureau survey of technology use at manufacturing plants. Workers in establishments that are classified as the most technology intensive earn a premium of 16 percent as compared to those in plants that are the least premium earned by workers in all but the very largest plants. The inclusion of the technology classification variables in standard wage regressions reduced the size-wage premia by as much as 60 percent for some size categories.
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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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  • Working Paper

    The Effects Of Leveraged Buyouts On Productivity And Related Aspects Of Firm Behavior

    July 1989

    Working Paper Number:

    CES-89-05

    We investigate the economic effects of leveraged buyouts (LBOs) using large longitudinal establishment and firm-level Census Bureau data sets linked to a list of LBOs compiled from public data sources. About 5 percent, or 1100, of the manufacturing plants in the sample were involved in LBOs during 1981-1986. We find that plants involved in LBOs had significantly higher rates of total-factor productivity (TFP) growth than other plants in the same industry. The productivity impact of LBOs is much larger than our previous estimates of the productivity impact of ownership changes in general. Management buyouts appear to have a particularly strong positive effect on TFP. Labor and capital employed tend to decline (relative to the industry average) after the buyout, but at a slower rate than they did before the buyout. The ratio of nonproduction to production labor cost declines sharply, and production worker wage rates increase, following LBOs. LBOs are production-labor-using, nonproduction-labor-saving, organizational innovations. Plants involved in management buyouts (but not in other LBOs) are less likely to subsequently close than other plants. The average R&D- intensity of firms involved in LBOs increased at least as much from 1978 to 1986 as did the average R&D-intensity of all firms responding to the NSF/Census survey of industrial R&D.
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  • Working Paper

    The Effect Of Takeovers On The Employment And Wages Of Central-Office And Other Personnel

    June 1989

    Working Paper Number:

    CES-89-03

    Recent high rates of takeover activity have stimulated considerable interest and concern among policymakers and the public about changes in corporate ownership, but relatively little evidence about the "read" (as opposed to financial) effects of takeovers has been available. This paper presents evidence concerning the effects of ownership change on the employment and wages of central-office workers -- according to some views, those likely to be most affected by takeovers -- and contracts them with the effects on manufacturing plant employees. The evidence is based on a large, longitudinal, plant-level data set derived from Census Bureau surveys of both administrative and production establishments. The major findings of the analysis are as follows. Central offices that changed owners between 1977 and 1982 had substantially lower -- about 16 percent lower -- employment growth during that period than central offices not changing owners. (There was, however, no significant difference in the growth of R&D employment.) They also had slower growth in wages -- about 9 percent lower. Changing owners had a much more negative effect on employment growth in central offices than it did in manufacturing plants: 16 percent compared to 5 percent. This implies that the ratio of central-office to plant employees declines about 11 percent in firms changing owners: about 7.2 administrators per 10-00 plant employees are eliminated. These findings are consistent with the view that reduction of administrative overhead is an important motive for changes in ownership. Failure to account for reductions in central-office employment results in a substantial (about 40 percent) underestimate of the productivity gains associated with ownership change. We also provide evidence concerning the relationship between firm size and administrative-intensity.
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