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Papers Containing Tag(s): 'Department of Labor'

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Bureau of Labor Statistics - 35

Longitudinal Employer Household Dynamics - 26

Current Population Survey - 25

Longitudinal Business Database - 21

North American Industry Classification System - 20

Internal Revenue Service - 20

American Community Survey - 19

Center for Economic Studies - 19

Employer Identification Numbers - 19

National Science Foundation - 18

Social Security Administration - 16

Census Bureau Disclosure Review Board - 15

Ordinary Least Squares - 13

Alfred P Sloan Foundation - 12

Business Register - 11

Social Security - 10

Survey of Income and Program Participation - 10

National Bureau of Economic Research - 10

Bureau of Economic Analysis - 10

Standard Industrial Classification - 10

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Economic Census - 9

Cornell University - 9

Federal Reserve Bank - 8

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Quarterly Census of Employment and Wages - 7

Decennial Census - 7

Cornell Institute for Social and Economic Research - 7

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Annual Survey of Manufactures - 6

Department of Economics - 6

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National Institute on Aging - 6

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Disclosure Review Board - 5

Total Factor Productivity - 5

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Office of Management and Budget - 5

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University of Maryland - 5

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Standard Statistical Establishment List - 5

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World Trade Organization - 4

Census of Manufactures - 4

Organization for Economic Cooperation and Development - 4

General Accounting Office - 4

Earned Income Tax Credit - 4

Department of Agriculture - 4

Economic Research Service - 4

Person Validation System - 4

Detailed Earnings Records - 4

Census Bureau Longitudinal Business Database - 4

North American Free Trade Agreement - 4

Research Data Center - 4

AKM - 4

University of Chicago - 4

Medical Expenditure Panel Survey - 4

University of Michigan - 4

BLS Handbook of Methods - 4

Chicago Census Research Data Center - 4

LEHD Program - 4

Annual Business Survey - 3

Board of Governors - 3

W-2 - 3

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Federal Insurance Contribution Act - 3

Business Dynamics Statistics - 3

New York University - 3

Housing and Urban Development - 3

Department of Housing and Urban Development - 3

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National Income and Product Accounts - 3

Securities and Exchange Commission - 3

Boston College - 3

Individual Characteristics File - 3

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Small Business Administration - 3

Service Annual Survey - 3

United Nations - 3

Journal of Labor Economics - 3

Agency for Healthcare Research and Quality - 3

Integrated Longitudinal Business Database - 3

Department of Commerce - 3

Employer-Household Dynamics - 3

Journal of Economic Literature - 3

Census of Manufacturing Firms - 3

Urban Institute - 3

National Longitudinal Survey of Youth - 3

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surveys censuses - 3

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Viewing papers 51 through 56 of 56


  • Working Paper

    Escaping poverty for low-wage workers The role of employer characteristics and changes

    June 2001

    Working Paper Number:

    tp-2001-02

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  • Working Paper

    An Economist's Primer on Survey Samples

    September 2000

    Working Paper Number:

    CES-00-15

    Survey data underlie most empirical work in economics, yet economists typically have little familiarity with survey sample design and its effects on inference. This paper describes how sample designs depart from the simple random sampling model implicit in most econometrics textbooks, points out where the effects of this departure are likely to be greatest, and describes the relationship between design-based estimators developed by survey statisticians and related econometric methods for regression. Its intent is to provide empirical economists with enough background in survey methods to make informed use of design-based estimators. It emphasizes surveys of households (the source of most public-use files), but also considers how surveys of businesses differ. Examples from the National Longitudinal Survey of Youth of 1979 and the Current Population Survey illustrate practical aspects of design-based estimation.
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  • Working Paper

    Technology Use and Worker Outcomes: Direct Evidence from Linked Employee-Employer Data

    August 2000

    Working Paper Number:

    CES-00-13

    We investigate the impact of technology adoption on workers' wages and mobility in U.S. manufacturing plants by constructing and exploiting a unique Linked Employee-Employer data set containing longitudinal worker and plant information. We first examine the effect of technology use on wage determination, and find that technology adoption does not have a significant effect on high-skill workers, but negatively affects the earnings of low-skill workers after controlling for worker-plant fixed effects. This result seems to support the skill-biased technological change hypothesis. We next explore the impact of technology use on worker mobility, and find that mobility rates are higher in high-technology plants, and that high-skill workers are more mobile than their low and medium-skill counterparts. However, our technology-skill interaction term indicates that as the number of adopted technologies increases, the probability of exit of skilled workers decreases while that of unskilled workers increases.
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  • Working Paper

    PRODUCTIVITY AND ACQUISITIONS IN U.S. COAL MINING

    December 1999

    Authors: David R Merrell

    Working Paper Number:

    CES-99-17

    This paper extends the literature on the productivity incentives for mergers and acquisitions. We develop a stochastic matching model that describes the conditions under which a coal mine will change owners. This model suggests two empirically testable hypotheses: i. acquired mines will exhibit low productivity prior to being acquired relative to non-acquired mines and ii. extant acquired mines will show post-acquisition productivity improvements over their pre-acquisition productivity levels. Using a unique micro data set on the universe of U.S. coal mines observed from 1978 to 1996, it is estimated that acquired coal mines are significantly less productive than non-acquired mines prior to having been acquired. Additionally, there is observable and significant evidence of post-acquisition productivity improvements. Finally, it is found that having been acquired positively and significantly influences the likelihood that a coal mine fails.
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  • Working Paper

    Large Plant Data in the LRD: Selection of a Sample for Estimation

    March 1999

    Working Paper Number:

    CES-99-06

    This paper describes preliminary work with the LRD during our tenure at the Census Bureau as participants in the ASA/NSF/Census Research Program. The objective of the work described here were two-fold. First, we wanted to examine the suitableness of these data for the calculation of plant-level productivity indexes, following procedures typically implemented with time series data. Second, we wanted to select a small number of 2-digit industry groups that would be well suited to the estimation of production functions and systems of factor share equations and factor demand forecasting equations with system-wide techniques. This description of our initial work may be useful to other researchers who are interested in the LRD for the analysis of productivity growth and/or the estimation of systems of factor equations, because the specific results reported in this memo suggest that the data are of good quality, or because the nature of the tasks undertaken provides insight into issues that arise in the analysis of longitudinal establishment data.
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  • Working Paper

    THE MANUFACTURING PLANT OWNERSHIP CHANGE DATABASE: ITS CONSTRUCTION AND USEFULNESS

    September 1998

    Authors: Sang V Nguyen

    Working Paper Number:

    CES-98-16

    The Center for Economic Studies, U. S. Bureau of the Census, has constructed the "Manufacturing Plant Ownership Change Database" (OCD)using plant-level data taken from the Census Bureau's Longitudinal Research Database (LRD). The OCD contains data on all manufacturing establishments that have experienced ownership change at least once during the period 1963-1992 . This is a unique data set which, together with the LRD, can be used to conduct a variety of economic studies that were not possible before. This paper describes how the OCD was constructed and discusses the usefulness of these data for economic research.
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