IDEAS home Printed from https://ideas.repec.org/a/oup/jecgeo/v23y2023i5p1121-1144..html

The long-term effects of mass layoffs: do local economies (ever) recover?

Author

Listed:
  • Viviana Celli
  • Augusto Cerqua
  • Guido Pellegrini

Abstract

This article investigates the long-term reaction of local labor markets (LLMs) to a mass layoff in a manufacturing plant. We adopt a non-parametric generalization of the difference-in-differences estimator expressly developed for time-series cross-sectional data and a new comprehensive dataset. Our results suggest that, on average, a mass layoff abruptly decreases industry employment by 22%; this negative impact is persistent even 9 years later. The shock has a negative and statistically significant effect only on the same industry of the affected LLM, while the rest of the local economy is, at most, mildly negatively affected. These findings depend on the initial level of development and call for the policymakers’ intervention to design efficient employment policies aimed at reducing the long-lasting social costs of a mass layoff at least for the less developed and less dynamic local economies.

Suggested Citation

  • Viviana Celli & Augusto Cerqua & Guido Pellegrini, 2023. "The long-term effects of mass layoffs: do local economies (ever) recover?," Journal of Economic Geography, Oxford University Press, vol. 23(5), pages 1121-1144.
  • Handle: RePEc:oup:jecgeo:v:23:y:2023:i:5:p:1121-1144.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/jeg/lbad012
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Robert Kelchen & Dubravka Ritter & Douglas A. Webber, 2024. "Predicting College Closures and Financial Distress," NBER Chapters, in: Financing Institutions of Higher Education, pages 103-162, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • H53 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Welfare Programs
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    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:oup:jecgeo:v:23:y:2023:i:5:p:1121-1144.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/joeg .

    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.