IDEAS home Printed from https://ideas.repec.org/p/cen/wpaper/12-29.html
   My bibliography  Save this paper

Estimation of Job-to-Job Flow Rates under Partially Missing Geography

Author

Listed:
  • Cody Henderson
  • Henry Hyatt

Abstract

Integration of data from different regions presents challenges for the calculation of entitylevel longitudinal statistics with a strong geographic component: for example, movements between employers, migration, business dynamics, and health statistics. In this paper, we consider the estimation of worker-level employment statistics when the geographies (in our application, US states) over which such measures are defined are partially missing. We focus on the recent pilot set of job-to-job flow statistics produced by the US Census Bureau’s Longitudinal Employer- Household Dynamics (LEHD) program, which measure the frequency of worker movements between jobs and into and out of nonemployment. LEHD’s coverage of the labor force gradually increases during the 1990s and 2000s because some states have a longer time series than others, so employment transitions involving missing states are only partially or not at all observed. We propose and implement a method for estimating national-level job-to-job flow statistics that involves dropping observed states to recover the relationship between missing states and directly tabulated job-to-job flow rates. Using the estimated relationship between the observable characteristics of the missing states and changes in the employment measures, we provide estimates of the rates of job-to-job, and job-to-nonemployment, job-to-nonemploymentto- job flows were all states uniformly available.

Suggested Citation

  • Cody Henderson & Henry Hyatt, 2012. "Estimation of Job-to-Job Flow Rates under Partially Missing Geography," Working Papers 12-29, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:wpaper:12-29
    as

    Download full text from publisher

    File URL: https://www2.census.gov/ces/wp/2012/CES-WP-12-29.pdf
    File Function: First version, 2012
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. John C. Haltiwanger & Henry R. Hyatt & Lisa B. Kahn & Erika McEntarfer, 2018. "Cyclical Job Ladders by Firm Size and Firm Wage," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(2), pages 52-85, April.
    2. Emin Dinlersoz & Henry Hyatt & Hubert Janicki, 2019. "Who Works for Whom? Worker Sorting in a Model of Entrepreneurship with Heterogeneous Labor Markets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 34, pages 244-266, October.
    3. Emin Dinlersoz & Henry Hyatt & Hubert Janicki, 2019. "Who Works for Whom? Worker Sorting in a Model of Entrepreneurship with Heterogeneous Labor Markets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 34, pages 244-266, October.
    4. Ufuk Akcigit & Nathan Goldschlag, 2022. "Measuring the Characteristics and Employment Dynamics of U.S. Inventors," Working Papers 22-43, Center for Economic Studies, U.S. Census Bureau.
    5. Henry Hyatt & Erika McEntarfer & John Haltiwanger, 2014. "Cyclical Reallocation of Workers Across Large and Small Employers," 2014 Meeting Papers 735, Society for Economic Dynamics.
    6. Henry Hyatt & Erika McEntarfer & Kevin McKinney & Stephen Tibbets & Doug Walton, 2014. "JOB-TO-JOB (J2J) Flows: New Labor Market Statistics From Linked Employer-Employee Data," Working Papers 14-34, Center for Economic Studies, U.S. Census Bureau.
    7. John Haltiwanger & Henry Hyatt & Erika McEntarfer, 2015. "Cyclical Reallocation of Workers Across Employers by Firm Size and Firm Wage," Working Papers 15-13, Center for Economic Studies, U.S. Census Bureau.
    8. 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.
    9. 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.
    10. Jaewon Lim & Jae Hong Kim, 2019. "Joint Determination of Residential Relocation and Commuting: A Forecasting Experiment for Sustainable Land Use and Transportation Planning," Sustainability, MDPI, vol. 11(1), pages 1-24, January.
    11. Leland Crane & Henry Hyatt & Seth Murray, 2018. "Cyclical Labor Market Sorting," 2018 Meeting Papers 939, Society for Economic Dynamics.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cen:wpaper:12-29. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dawn Anderson (email available below). General contact details of provider: https://edirc.repec.org/data/cesgvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.