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Papers Containing Tag(s): 'Employer Characteristics File'

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Frequently Occurring Concepts within this Search

Longitudinal Employer Household Dynamics - 27

Employment History File - 19

North American Industry Classification System - 18

Bureau of Labor Statistics - 16

Alfred P Sloan Foundation - 16

Employer Identification Numbers - 15

Quarterly Workforce Indicators - 15

Individual Characteristics File - 14

Protected Identification Key - 13

Internal Revenue Service - 13

Longitudinal Business Database - 13

American Community Survey - 12

Quarterly Census of Employment and Wages - 12

Unemployment Insurance - 11

Social Security Number - 10

Center for Economic Studies - 10

Core Based Statistical Area - 9

National Science Foundation - 9

Business Register - 9

Standard Industrial Classification - 8

Decennial Census - 8

Disclosure Review Board - 8

Research Data Center - 8

Local Employment Dynamics - 8

Successor Predecessor File - 8

Current Population Survey - 8

International Trade Research Report - 7

Metropolitan Statistical Area - 7

Service Annual Survey - 7

Master Address File - 7

Survey of Income and Program Participation - 7

Cornell University - 7

Business Employment Dynamics - 7

Census Bureau Disclosure Review Board - 6

University of Chicago - 6

Standard Statistical Establishment List - 6

Composite Person Record - 6

Office of Personnel Management - 6

American Housing Survey - 6

Business Register Bridge - 6

Federal Statistical Research Data Center - 5

CDF - 5

Cumulative Density Function - 5

Social Security Administration - 5

Federal Tax Information - 5

Social Security - 5

Business Master File - 5

Review of Economics and Statistics - 4

North American Industry Classi - 4

Agriculture, Forestry - 4

American Economic Review - 4

Probability Density Function - 4

MIT Press - 4

Economic Census - 4

Census Bureau Business Register - 4

Establishment Micro Properties - 4

County Business Patterns - 3

Person Validation System - 3

Census Numident - 3

National Institute on Aging - 3

Employer-Household Dynamics - 3

DOB - 3

Ordinary Least Squares - 3

Department of Defense - 3

LEHD Program - 3

Journal of Labor Economics - 3

Department of Homeland Security - 3

HHS - 3

Business Dynamics Statistics - 3

Viewing papers 21 through 28 of 28


  • Working Paper

    FALLING HOUSE PRICES AND LABOR MOBILITY: EVIDENCE FROM MATCHED EMPLOYER-EMPLOYEE DATA

    August 2013

    Working Paper Number:

    CES-13-43

    This study uses worker-level employment data from the U.S. Census Bureau to test whether falling home prices affect a worker's propensity to take a job in a different metropolitan area from where he is currently located. Using a sample of workers from the American Community Survey, I employ a within-MSA-time estimation that compares homeowners to renters in their propensities to relocate for jobs according to data from the Longitudinal Employer Household Dynamics database. This strategy allows me to disentangle the influence of house prices from that of other time-varying, location-specific shocks. Estimates show that homeowners who have experienced declines in the nominal value of their home are approximately 20% less likely to take a new job in a location outside of the metropolitan area that they currently live and work in, relative to an equivalent renter. This evidence is consistent with the hypothesis that housing lock-in has contributed to the decreased labor mobility of homeowners during the recent housing bust.
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  • Working Paper

    Do EPA Regulations Affect Labor Demand? Evidence From the Pulp and Paper Industry

    August 2013

    Working Paper Number:

    CES-13-39

    The popular belief is that environmental regulation must reduce employment, since suchregulations are expected to increase production costs, which would raise prices and thus reducedemand for output, at least in a competitive market. Although this effect might seem obvious, a careful microeconomic analysis shows that it is not guaranteed. Even if environmental regulation reduces output in the regulated industry, abating pollution could require additional labor (e.g. to monitor the abatement capital and meet EPA reporting requirements). It is also possible for pollution abatement technologies to be labor enhancing. In this paper we analyze how a particular EPA regulation, the so-called 'Cluster Rule' (CR) imposed on the pulp and paper industry in 2001, affected employment in that sector. Using establishment level data from the Census of Manufacturers and Annual Survey of Manufacturers at the U.S. Census Bureau from 1992-2007 we find evidence of small employment declines (on the order of 3%-7%), which are sometimes statistically significant, at a subset of the plants covered by the CR.
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  • Working Paper

    Do Labor Market Networks Have An Important Spatial Dimension?

    September 2012

    Working Paper Number:

    CES-12-30

    We test for evidence of spatial, residence-based labor market networks. Turnover is lower for workers more connected to their neighbors generally and more connected to neighbors of the same race or ethnic group. Both results are consistent with networks producing better job matches, while the latter could also reflect preferences for working with neighbors of the same race or ethnicity. For earnings, we find a robust positive effect of the overall residence-based network measure, whereas we usually find a negative effect of the same-group measure, suggesting that the overall network measure reflects productivity enhancing positive network effects, while the same-group measure captures a non-wage amenity.
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  • Working Paper

    LEHD Data Documentation LEHD-OVERVIEW-S2008-rev1

    December 2011

    Working Paper Number:

    CES-11-43

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  • Working Paper

    LEHD Infrastructure Files in the Census RDC: Overview of S2004 Snapshot

    April 2011

    Working Paper Number:

    CES-11-13

    The Longitudinal Employer-Household Dynamics (LEHD) Program at the U.S. Census Bureau, with the support of several national research agencies, has built a set of infrastructure files using administrative data provided by state agencies, enhanced with information from other administrative data sources, demographic and economic (business) surveys and censuses. The LEHD Infrastructure Files provide a detailed and comprehensive picture of workers, employers, and their interaction in the U.S. economy. This document describes the structure and content of the 2004 Snapshot of the LEHD Infrastructure files as they are made available in the Census Bureau's Research Data Center network.
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  • Working Paper

    National Estimates of Gross Employment and Job Flows from the Quarterly Workforce Indicators with Demographic and Industry Detail

    June 2010

    Working Paper Number:

    CES-10-11

    The Quarterly Workforce Indicators (QWI) are local labor market data produced and released every quarter by the United States Census Bureau. Unlike any other local labor market series produced in the U.S. or the rest of the world, the QWI measure employment flows for workers (accession and separations), jobs (creations and destructions) and earnings for demographic subgroups (age and gender), economic industry (NAICS industry groups), detailed geography (block (experimental), county, Core- Based Statistical Area, and Workforce Investment Area), and ownership (private, all) with fully interacted publication tables. The current QWI data cover 47 states, about 98% of the private workforce in those states, and about 92% of all private employment in the entire economy. State participation is sufficiently extensive to permit us to present the first national estimates constructed from these data. We focus on worker, job, and excess (churning) reallocation rates, rather than on levels of the basic variables. This permits comparison to existing series from the Job Openings and Labor Turnover Survey and the Business Employment Dynamics Series from the Bureau of Labor Statistics. The national estimates from the QWI are an important enhancement to existing series because they include demographic and industry detail for both worker and job flow data compiled from underlying micro-data that have been integrated at the job and establishment levels by the Longitudinal Employer-Household Dynamics Program at the Census Bureau. The estimates presented herein were compiled exclusively from public-use data series and are available for download.
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  • Working Paper

    The LEHD Infrastructure Files and the Creation of the Quarterly Workforce Indicators

    January 2006

    Working Paper Number:

    tp-2006-01

    The Longitudinal Employer-Household Dynamics (LEHD) Program at the U.S. Census Bureau, with the support of several national research agencies, has built a set of infrastructure files using administrative data provided by state agencies, enhanced with information from other administrative data sources, demographic and economic (business) surveys and censuses. The LEHD Infrastructure Files provide a detailed and comprehensive picture of workers, employers, and their interaction in the U.S. economy. Beginning in 2003 and building on this infrastructure, the Census Bureau has published the Quarterly Workforce Indicators (QWI), a new collection of data series that offers unprecedented detail on the local dynamics of labor markets. Despite the fine detail, confidentiality is maintained due to the application of state-of-the-art confidentiality protection methods. This article describes how the input files are compiled and combined to create the infrastructure files. We describe the multiple imputation methods used to impute in missing data and the statistical matching techniques used to combine and edit data when a direct identifier match requires improvement. Both of these innovations are crucial to the success of the final product. Finally, we pay special attention to the details of the confidentiality protection system used to protect the identity and micro data values of the underlying entities used to form the published estimates. We provide a brief description of public-use and restricted-access data files with pointers to further documentation for researchers interested in using these data.
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  • Working Paper

    The Creation of the Employment Dynamics Estimates

    July 2002

    Working Paper Number:

    tp-2002-13

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