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Integrated Employer-Employee Data: New Resources for Regional Data Analysis

Author

Listed:
  • Julia Lane

    (National Organization for Research at the University of Chicago (NORC), Chicago, IL, lane-julia@norc.uchicago.edu)

  • Bryce Stephens

    (University of Maryland, College Park, MD, stephens@econ.umd.edu)

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.

Suggested Citation

  • Julia Lane & Bryce Stephens, 2006. "Integrated Employer-Employee Data: New Resources for Regional Data Analysis," International Regional Science Review, , vol. 29(3), pages 264-277, July.
    • Handle: RePEc:sae:inrsre:v:29:y:2006:i:3:p:264-277
    DOI: 10.1177/0160017606289897
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    References listed on IDEAS

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    6. David W. Stevens, 2002. "Employment that is not covered by state unemployment," Longitudinal Employer-Household Dynamics Technical Papers 2002-16, Center for Economic Studies, U.S. Census Bureau.
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    Cited by:

    1. Paul H. Jensen, 2010. "Exploring the Uses of Matched Employer–Employee Datasets," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 43(2), pages 209-216, June.
    2. Davidson, Joshua H. & Ryerson, Megan S., 2021. "Modeling regional disparity and the reverse commute," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 124-139.
    3. Yu, Haitao & Jiao, Junfeng & Houston, Eric & Peng, Zhong-Ren, 2018. "Evaluating the relationship between rail transit and industrial agglomeration: An observation from the Dallas-fort worth region, TX," Journal of Transport Geography, Elsevier, vol. 67(C), pages 33-52.
    4. Schleith, Daniel & Widener, Michael & Kim, Changjoo, 2016. "An examination of the jobs-housing balance of different categories of workers across 26 metropolitan regions," Journal of Transport Geography, Elsevier, vol. 57(C), pages 145-160.

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