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

Date

2025-01-10

Director

Publisher

Elsevier
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115018RB-C31/ES/ recolecta
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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.

Description

Keywords

Job amenities, On-the-job risk, Experienced preference, Job satisfaction, Hedonic wages, Stated preference, Value of a statistical life

Department

Gestión de Empresas / Enpresen Kudeaketa / Institute for Advanced Research in Business and Economics - INARBE / Economía / Ekonomia

Faculty/School

Degree

Doctorate program

item.page.cita

Ferreira, S., Martínez de Morentin, S., Erro-Garcés, A. (2025) Measuring job risks when hedonic wage models do not do the job. Journal of Environmental Economics and Management, 130, 1-21. https://doi.org/10.1016/j.jeem.2025.103120.

item.page.rights

© 2025 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC license.

Licencia

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