IDEAS home Printed from https://ideas.repec.org/a/eee/jeeman/v130y2025ics009506962500004x.html
   My bibliography  Save this article

Measuring job risks when hedonic wage models do not do the job

Author

Listed:
  • Ferreira, Susana
  • de Morentin, Sara Martínez
  • Erro-Garcés, Amaya

Abstract

The theory of compensating differentials predicts that wages should compensate for differences in job characteristics, including the risk of death on the job. Empirically estimating these compensating differentials in real-world labor markets has, however, proven difficult. This paper explores the potential of job satisfaction regressions as an additional valuation approach to estimate the tradeoffs between wages and job amenities along the wage-amenity frontier. In this approach, job satisfaction scores act as a proxy for utility at work, and can be used to directly estimate the tradeoffs between wages and amenities at the job taken by the worker. Conventional hedonic wage regressions with data on thirty-five thousand workers across thirty European countries show limited evidence that European workers facing larger job risks and other workplace disamenities receive higher wages. On the other hand, using the same data, workers who perceive their jobs to be riskier, are absent more days from work due to work accidents, or are exposed to worse conditions at their workplace are less satisfied with their jobs, ceteris paribus, revealing a negative valuation of those job disamenities.

Suggested Citation

  • Ferreira, Susana & de Morentin, Sara Martínez & Erro-Garcés, Amaya, 2025. "Measuring job risks when hedonic wage models do not do the job," Journal of Environmental Economics and Management, Elsevier, vol. 130(C).
  • Handle: RePEc:eee:jeeman:v:130:y:2025:i:c:s009506962500004x
    DOI: 10.1016/j.jeem.2025.103120
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S009506962500004X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jeem.2025.103120?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Job amenities; On-the-job risk; Experienced preference; Job satisfaction; Hedonic wages; Stated preference; Value of a statistical life;
    All these keywords.

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • K32 - Law and Economics - - Other Substantive Areas of Law - - - Energy, Environmental, Health, and Safety Law

    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:eee:jeeman:v:130:y:2025:i:c:s009506962500004x. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622870 .

    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.