IDEAS home Printed from https://ideas.repec.org/a/aea/aecrev/v115y2025i2p491-524.html
   My bibliography  Save this article

Sticky Wages on the Layoff Margin

Author

Listed:
  • Steven J. Davis
  • Pawel M. Krolikowski

Abstract

We design and field an innovative survey of unemployment insurance (UI) recipients that yields new insights about wage stickiness on the layoff margin. A majority of UI recipients would accept pay cuts of 5–10 percent to save their jobs, and one-third would accept a 25 percent cut. Yet worker-employer discussions about cuts in pay, benefits, or hours in lieu of layoffs are exceedingly rare. Roughly one-quarter of the layoffs in our sample violate the theoretical condition for bilaterally efficient separations. We draw on our findings and other evidence to assess theories of wage stickiness and its role in layoffs.

Suggested Citation

  • Steven J. Davis & Pawel M. Krolikowski, 2025. "Sticky Wages on the Layoff Margin," American Economic Review, American Economic Association, vol. 115(2), pages 491-524, February.
  • Handle: RePEc:aea:aecrev:v:115:y:2025:i:2:p:491-524
    DOI: 10.1257/aer.20240309
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/aer.20240309
    Download Restriction: no

    File URL: https://doi.org/10.3886/E209426V1
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/aer.20240309.appx
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/aer.20240309.ds
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.

    File URL: https://libkey.io/10.1257/aer.20240309?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings

    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:aea:aecrev:v:115:y:2025:i:2:p:491-524. 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.