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

Author

Listed:
  • Bilver Adrian Astorquiza-Bustos

    (Universidad de Manizales)

  • Maribel Castillo-Caicedo

    (Pontificia Universidad Javeriana Cali)

  • Alina Gómez-Mejía

    (Pontificia Universidad Javeriana Cali)

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.

Suggested Citation

  • Bilver Adrian Astorquiza-Bustos & Maribel Castillo-Caicedo & Alina Gómez-Mejía, 2020. "Job stress in the labor market an application of the fuzzy set measurement method for the Colombian case," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 93, pages 189-224, Julio-Dic.
    • Handle: RePEc:lde:journl:y:2020:i:93:p:189-224
    DOI: 10.17533/udea.le.n93a339564
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    References listed on IDEAS

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    1. Freeman, Richard B, 1978. "Job Satisfaction as an Economic Variable," American Economic Review, American Economic Association, vol. 68(2), pages 135-141, May.
    2. Achille Lemmi & Gianni Betti (ed.), 2006. "Fuzzy Set Approach to Multidimensional Poverty Measurement," Economic Studies in Inequality, Social Exclusion, and Well-Being, Springer, number 978-0-387-34251-1, Fall.
    3. George Halkos & Dimitrios Bousinakis, 2010. "The effect of stress and satisfaction on productivity," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 59(5), pages 415-431, June.
    4. Sara Lelli, 2001. "Factor Analysis vs. Fuzzy Sets Theory: Assessing the Influence of Different Techniques on Sen's Functioning Approach," Public Economics Working Paper Series ces0121, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Working Group Public Economics.
    5. Small, Kenneth A & Hsiao, Cheng, 1985. "Multinomial Logit Specification Tests," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 26(3), pages 619-627, October.
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    Cited by:

    1. Bilver Adrian Astorquiza-Bustos & Kevin Bravo Bolaño & Enmanuel Aguirre Bernal, 2023. "Índice de precariedad laboral en Colombia: una construcción teórica y analítica partir de microdatos," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 18(1), pages 1-26, Enero - M.

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    More about this item

    Keywords

    job stress; occupational choice; time allocation labor market; multinomial model;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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