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The US Census Longitudinal Employer-Household Dynamics Datasets

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  • Robert Manduca

Abstract

Over the last several years, the Longitudinal Employer-Household Dynamics program at the US Census Bureau has partnered with state labor market information offices to produce a collection of extremely rich datasets based on linked employer-employee records. These datasets, available free for download from the program website, offer exceptionally detailed information on a number of topics of interest to regional scientists, including migration, local labor market dynamics, and the spatial distribution of employment. This article describes the process by which these data are generated, the different publicly available datasets, and examples of research in regional science that is already using these data.

Suggested Citation

  • Robert Manduca, 2018. "The US Census Longitudinal Employer-Household Dynamics Datasets," REGION, European Regional Science Association, vol. 5, pages 5-12.
    • Handle: RePEc:wiw:wiwreg:region_5_3_251
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    File URL: https://openjournals.wu.ac.at/ojs/index.php/region/article/view/251/version/187
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    References listed on IDEAS

    as
    1. Manduca, Robert, 2018. "The Spatial Structure of US Metropolitan Employment: New Insights from LODES Data," SocArXiv 6sxv5, Center for Open Science.
    2. John Haltiwanger & Henry Hyatt & Erika McEntarfer, 2018. "Who Moves Up the Job Ladder?," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 301-336.
    3. Christopher Goetz & Henry Hyatt & Erika McEntarfer & Kristin Sandusky, 2016. "The Promise and Potential of Linked Employer-Employee Data for Entrepreneurship Research," NBER Chapters, in: Measuring Entrepreneurial Businesses: Current Knowledge and Challenges, pages 433-462, National Bureau of Economic Research, Inc.
    4. Abowd, John M. & Vilhuber, Lars, 2011. "National estimates of gross employment and job flows from the Quarterly Workforce Indicators with demographic and industry detail," Journal of Econometrics, Elsevier, vol. 161(1), pages 82-99, March.
    5. Kermanshah, A. & Derrible, S., 2016. "A geographical and multi-criteria vulnerability assessment of transportation networks against extreme earthquakes," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 39-49.
    6. Owen, Andrew & Levinson, David M., 2015. "Modeling the commute mode share of transit using continuous accessibility to jobs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 110-122.
    7. Abowd, John M. & Haltiwanger, John C. & Lane, Julia & McKinney, Kevin Lee & Sandusky, L. Kristin, 2007. "Technology and the Demand for Skill: An Analysis of Within and Between Firm Differences," IZA Discussion Papers 2707, Institute of Labor Economics (IZA).
    8. Fredrik Andersson & John C. Haltiwanger & Mark J. Kutzbach & Henry O. Pollakowski & Daniel H. Weinberg, 2018. "Job Displacement and the Duration of Joblessness: The Role of Spatial Mismatch," The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 203-218, May.
    9. Arindrajit Dube & T. William Lester & Michael Reich, 2016. "Minimum Wage Shocks, Employment Flows, and Labor Market Frictions," Journal of Labor Economics, University of Chicago Press, vol. 34(3), pages 663-704.
    10. Henry Hyatt & Erika McEntarfer & Ken Ueda & Alexandria Zhang, 2016. "Interstate Migration and Employer-to-Employer Transitions in the U.S.: New Evidence from Administrative Records Data," Working Papers 16-44, Center for Economic Studies, U.S. Census Bureau.
    11. David W. Stevens, 2007. "Employment that is not covered by state unemployment insurance Laws," Longitudinal Employer-Household Dynamics Technical Papers 2007-04, Center for Economic Studies, U.S. Census Bureau.
    12. John M. Abowd & Kevin L. McKinney & Nellie L. Zhao, 2018. "Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 183-300.
    13. 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.
    14. John M. Abowd & Kaj Gittings & Kevin L. McKinney & Bryce E. Stephens & Lars Vilhuber & Simon Woodcock, 2012. "Dynamically Consistent Noise Infusion and Partially Synthetic Data as Confidentiality Protection Measures for Related Time Series," Working Papers 12-13, Center for Economic Studies, U.S. Census Bureau.
    15. Andrew S. Green & Mark J. Kutzbach & Lars Vilhuber, 2017. "Two Perspectives on Commuting: A Comparison of Home to Work Flows Across Job-Linked Survey and Administrative Files," Working Papers 17-34, Center for Economic Studies, U.S. Census Bureau.
    16. Freedman, Matthew L., 2008. "Job hopping, earnings dynamics, and industrial agglomeration in the software publishing industry," Journal of Urban Economics, Elsevier, vol. 64(3), pages 590-600, November.
    17. Matthew R. Graham & Mark J. Kutzbach & Brian McKenzie, 2014. "Design Comparison of LODES and ACS Commuting Data Products," Working Papers 14-38, Center for Economic Studies, U.S. Census Bureau.
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    Cited by:

    1. Anzhelika Antipova, 2020. "Analysis of Commuting Distances of Low-Income Workers in Memphis Metropolitan Area, TN," Sustainability, MDPI, vol. 12(3), pages 1-21, February.

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