IDEAS home Printed from https://ideas.repec.org/p/cen/tnotes/26-11.html

Unemployment Insurance Extensions, Labor Market Concentration, and Match Quality

Author

Listed:
  • David Wasser

Abstract

I investigate whether the effects of UI extensions are different for workers exposed to higher levels of local labor market concentration, a potential source of employer market power. I exploit measurement error in state unemployment rates that led to quasi-random assignment of UI durations in the U.S. during the Great Recession. Using matched employer-employee data from the Longitudinal Employer-Household Dynamics (LEHD) program, I find that UI extensions lengthen nonemployment durations by one week and cause economically meaningful but not statistically significant increases in earnings. The UI-earnings effect is significantly smaller at higher levels of concentration, while there is no difference in the UI-duration effect. The lower UI-earnings effect is driven by the extremes of the distribution of concentration. My results suggest that match improvements from UI are attenuated at higher levels of concentration. This technical report summarizes the code and data workflow and provides a short summary of the findings. A full write-up of the results can be found in CES Working Paper 26-24. The Census Bureau’s Disclosure Review Board and Disclosure Avoidance Officers have reviewed this information product for unauthorized disclosure of confidential information and have approved the disclosure avoidance practices applied to this release (Project co02564: CBDRB-FY22-P2564-R9730, CBDRB-FY22-P2564-R9765, CBDRB-FY22-P2564-R10066, CBDRB-FY23-P2564-R10107, CBDRB-FY23-P2564-R10207, CBDRB-FY24-P2564-R11080).

Suggested Citation

  • David Wasser, 2026. "Unemployment Insurance Extensions, Labor Market Concentration, and Match Quality," CES Technical Notes Series 26-11, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:tnotes:26-11
    as

    Download full text from publisher

    File URL: https://www2.census.gov/ces/tn/CES-TN-2026-11.pdf
    File Function: Abstract
    Download Restriction: CES Technical Notes may contain confidential data and, thereby, disclosure is prohibited. Researchers on approved projects (to apply for access, please see https://www.census.gov/ces/rdcresearch/howtoapply.html) with the correct permissions can request full text notes from CES.Technical.Notes.List@census.gov.

    File URL: https://www.census.gov/about/adrm/ced/apply-for-access.html?CES-TN-2026-11
    File Function: First version, 2026
    Download Restriction: CES Technical Notes may contain confidential data and, thereby, disclosure is prohibited. Researchers on approved projects (to apply for access, please see https://www.census.gov/ces/rdcresearch/howtoapply.html) with the correct permissions can request full text notes from CES.Technical.Notes.List@census.gov.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:tnotes:26-11. 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: Danielle H. Sandler (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.