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Papers Containing Tag(s): 'Business Register Bridge'

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Frequently Occurring Concepts within this Search

Alfred P Sloan Foundation - 14

Longitudinal Employer Household Dynamics - 14

Standard Industrial Classification - 11

Employment History File - 10

Longitudinal Business Database - 9

Individual Characteristics File - 9

North American Industry Classification System - 9

Employer Identification Numbers - 9

Bureau of Labor Statistics - 8

National Science Foundation - 7

Center for Economic Studies - 7

Cornell University - 7

Research Data Center - 7

Current Population Survey - 6

International Trade Research Report - 6

Standard Statistical Establishment List - 6

Employer Characteristics File - 6

Quarterly Workforce Indicators - 6

Quarterly Census of Employment and Wages - 6

Master Address File - 6

Disclosure Review Board - 5

Internal Revenue Service - 5

Service Annual Survey - 5

Business Master File - 5

Social Security Number - 5

Business Register - 5

Protected Identification Key - 5

American Housing Survey - 5

Business Employment Dynamics - 5

Local Employment Dynamics - 5

Successor Predecessor File - 5

Chicago Census Research Data Center - 5

American Community Survey - 4

Ordinary Least Squares - 4

Social Security Administration - 4

Core Based Statistical Area - 4

Composite Person Record - 4

North American Industry Classi - 4

Federal Tax Information - 4

Metropolitan Statistical Area - 4

Survey of Income and Program Participation - 4

Unemployment Insurance - 4

CDF - 4

Cumulative Density Function - 4

Federal Statistical Research Data Center - 3

LEHD Program - 3

American Economic Review - 3

Decennial Census - 3

Office of Personnel Management - 3

Establishment Micro Properties - 3

Annual Survey of Manufactures - 3

Viewing papers 11 through 15 of 15


  • Working Paper

    LEHD Data Documentation LEHD-OVERVIEW-S2008-rev1

    December 2011

    Working Paper Number:

    CES-11-43

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  • Working Paper

    Who Works for Startups? The Relation between Firm Age, Employee Age, and Growth

    October 2011

    Working Paper Number:

    CES-11-31

    We present evidence that young employees are an important ingredient in the creation and growth of firms. Our results suggest that young employees possess attributes or skills, such as willingness to take risk or innovativeness, which make them relatively more valuable in young, high growth, firms. Young firms disproportionately hire young employees, controlling for firm size, industry, geography and time. Young employees in young firms command higher wages than young employees in older firms and earn wages that are relatively more equal to older employees within the same firm. Moreover, young employees disproportionately join young firms that subsequently exhibit higher growth and raise venture capital financing. Finally, we show that an increase in the regional supply of young workers increases the rate of new firm creation. Our results are relevant for investors and executives in young, high growth, firms, as well as policymakers interested in fostering entrepreneurship.
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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

    Using linked employer-employee data to investigate the speed of adjustments in downsizing firms

    May 2006

    Working Paper Number:

    tp-2006-03

    When firms are faced with a demand shock, adjustment can take many forms. Firms can adjust physical capital, human capital, or both. The speed of adjustment may differ as well: costs of adjustment, the type of shock, the legal and economic enviroment all matter. In this paper, we focus on firms that downsized between 1992 and 1997, but ultimately survive, and investigate how the human capital distribution within a firm influences the speed of adjustment, ceteris paribus. In other words, when do firms use mass layoffs instead of attrition to adjust the level of employment. We combine worker-level wage records and measures of human capital with firm-level characteristics of the production function, and use levels and changes in these variables to characterize the choice of adjustment method and speed. Firms are described/compared up to 9 years prior to death. We also consider how workers fare after leaving downsizing firms, and analyze if observed differences in post-separation outcomes of workers provide clues to the choice of adjustment speed.
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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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