Job stress in the labor market an application of the fuzzy set measurement method for the Colombian case

Bilver Adrian Astorquiza-Bustos (), Maribel Castillo-Caicedo () and Alina Gómez-Mejía ()
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Bilver Adrian Astorquiza-Bustos: Universidad de Manizales
Maribel Castillo-Caicedo: Pontificia Universidad Javeriana Cali
Alina Gómez-Mejía: Pontificia Universidad Javeriana Cali
Authors registered in the RePEc Author Service: Bilver Adrian Astorquiza Bustos and Alina Gómez Mejía

Lecturas de Economía, 2020, issue 93, 189-224

Abstract: The stress is a product of inequality of the traditional leisure-consumption model in the labor market. So, this research estimates a Job Stress Index (JSI) using the fuzzy sets measurement method with the aim of identifying the stress levels faced by the employed population and its possible determinants. Once the JSI is estimated, we analyzed the profile of job stress using a probit ordered multinomial model from a set of sociodemographic and labor attributes. The results suggest the job stress is not correlated with the employment rates. Likewise, the profile of working more than 48 hours a week, being a man, without a labor contract, divorced, changing of job, among other factors are associated with a high probability of being with job stress at least 17.19%. The JSI reconciles the importance of implementing occupational health programs in order to improve the work environment, and theoretical consistency according to the suggested from the psychology, becoming a novel contribution from the economic sciences.

Keywords: job stress; occupational choice; time allocation labor market; multinomial model (search for similar items in EconPapers)
JEL-codes: C25 J21 J22 J24 J81 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Journal Article: Job stress in the labor market: an application of the fuzzy set measurement method for the Colombian case (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:lde:journl:y:2020:i:93:p:189-224

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DOI: 10.17533/udea.le.n93a339564

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