Abstract
Confidentiality-protected and integrated employer-employee microdata - including worker and firm demographics, worker attachments to firms, earnings, and precise coding of location of place of work and place of residence - have been used to investigate a variety of questions in economics and demography. The rich geographic dimension of these integrated microdata, however, has yet to be fully exploited by the regional science community. This article describes the structure, applications, and confidentiality protections of integrated employer-employee microdata housed at the Longitudinal Employer-Household Dynamics (LEHD) Program at the U.S. Census Bureau. The LEHD Program makes use of administrative records from nearly the entire universe of existing firms and workers for forty participating states. The broad coverage of economic agents in conjunction with the precise coding of geography makes the data particularly suitable for addressing issues in urban and rural economic development, agglomeration and growth, economic geography, and spatial econometrics.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 264-277 |
| Number of pages | 14 |
| Journal | International Regional Science Review |
| Volume | 29 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jul 2006 |
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Keywords
- Matched employer employee data
- Place of work information
- Regional science
ASJC Scopus subject areas
- Environmental Science (miscellaneous)
Cite this
Integrated employer-employee data : New resources for regional data analysis. / Lane, Julia; Stephens, Bryce.
In: International Regional Science Review, Vol. 29, No. 3, 07.2006, p. 264-277.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Integrated employer-employee data
T2 - New resources for regional data analysis
AU - Lane, Julia
AU - Stephens, Bryce
PY - 2006/7
Y1 - 2006/7
N2 - Confidentiality-protected and integrated employer-employee microdata - including worker and firm demographics, worker attachments to firms, earnings, and precise coding of location of place of work and place of residence - have been used to investigate a variety of questions in economics and demography. The rich geographic dimension of these integrated microdata, however, has yet to be fully exploited by the regional science community. This article describes the structure, applications, and confidentiality protections of integrated employer-employee microdata housed at the Longitudinal Employer-Household Dynamics (LEHD) Program at the U.S. Census Bureau. The LEHD Program makes use of administrative records from nearly the entire universe of existing firms and workers for forty participating states. The broad coverage of economic agents in conjunction with the precise coding of geography makes the data particularly suitable for addressing issues in urban and rural economic development, agglomeration and growth, economic geography, and spatial econometrics.
AB - Confidentiality-protected and integrated employer-employee microdata - including worker and firm demographics, worker attachments to firms, earnings, and precise coding of location of place of work and place of residence - have been used to investigate a variety of questions in economics and demography. The rich geographic dimension of these integrated microdata, however, has yet to be fully exploited by the regional science community. This article describes the structure, applications, and confidentiality protections of integrated employer-employee microdata housed at the Longitudinal Employer-Household Dynamics (LEHD) Program at the U.S. Census Bureau. The LEHD Program makes use of administrative records from nearly the entire universe of existing firms and workers for forty participating states. The broad coverage of economic agents in conjunction with the precise coding of geography makes the data particularly suitable for addressing issues in urban and rural economic development, agglomeration and growth, economic geography, and spatial econometrics.
KW - Matched employer employee data
KW - Place of work information
KW - Regional science
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UR - http://www.scopus.com/inward/citedby.url?scp=33745324557&partnerID=8YFLogxK
U2 - 10.1177/0160017606289897
DO - 10.1177/0160017606289897
M3 - Article
AN - SCOPUS:33745324557
VL - 29
SP - 264
EP - 277
JO - International Regional Science Review
JF - International Regional Science Review
SN - 0160-0176
IS - 3
ER -