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Self-reported health and gender: The role of social norms

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  • Eve Caroli

    (Legos - Laboratoire d'Economie et de Gestion des Organisations de Santé - Université Paris Dauphine-PSL - PSL - Université Paris sciences et lettres, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris sciences et lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PSE - Paris-Jourdan Sciences Economiques - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris sciences et lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique)

  • Lexane Weber-Baghdiguian

    (Legos - Laboratoire d'Economie et de Gestion des Organisations de Santé - Université Paris Dauphine-PSL - PSL - Université Paris sciences et lettres)

Abstract

The role of social norms in accounting for the different attitudes of men and women with respect to health is still an open issue. In this research, we investigate the role of social norms associated with specific gender environments in the workplace in accounting for differences in health-reporting behaviours across men and women. Using the 2010 European Working Conditions Survey, we build a database containing 30,124 observations. We first replicate the standard result that women report worse health than men, whatever the health outcome we consider. We then proxy social norms by the gender structure of the workplace environment and study how the latter affects self-reported health for men and women separately. Our findings indicate that individuals in workplaces where women are a majority tend to report worse health than individuals employed in male-dominated work environments, be they men or women. These results are robust to controlling for a large array of working condition indicators, which allows us to rule out that the poorer health status reported by individuals working in female-dominated environments could be due to worse job quality. This evidence suggests that social norms associated with specific gender environments play an important role in explaining differences in health-reporting behaviours across gender, at least in the workplace.

Suggested Citation

  • Eve Caroli & Lexane Weber-Baghdiguian, 2016. "Self-reported health and gender: The role of social norms," Post-Print halshs-01379374, HAL.
  • Handle: RePEc:hal:journl:halshs-01379374
    DOI: 10.1016/j.socscimed.2016.02.023
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    1. Sonja Spitzer & Daniela Weber, 2019. "Reporting biases in self-assessed physical and cognitive health status of older Europeans," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-22, October.
    2. Virginie Comblon & Karine Marazyan, 2017. "Labor Supply Responses to Chronic Illness in Senegal," Working Papers 20170006, UMR Développement et Sociétés, Université Paris 1 Panthéon-Sorbonne, Institut de Recherche pour le Développement.
    3. Bellmann, Lutz & Hübler, Olaf, 2019. "Personal Attitudes, Job Characteristics and Health," IZA Discussion Papers 12597, Institute of Labor Economics (IZA).
    4. Quitterie Roquebert & Jonathan Sicsic & Thomas Rapp, 2021. "Health measures and long-term care use in the European frail population," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(3), pages 405-423, April.
    5. Bonsang, Eric & Caroli, Eve & Garrouste, Clémentine, 2021. "Gender heterogeneity in self-reported hypertension," Economics & Human Biology, Elsevier, vol. 43(C).
    6. Chris Muris & Pedro Raposo & Sotiris Vandoros, 2020. "A dynamic ordered logit model with fixed effects," Papers 2008.05517, arXiv.org.
    7. Lazarevič, Patrick & Brandt, Martina, 2020. "Diverging ideas of health? Comparing the basis of health ratings across gender, age, and country," Social Science & Medicine, Elsevier, vol. 267(C).
    8. Geoffard, Pierre-Yves & Etilé, Fabrice, 2020. "Anxiety Increases The Willingness To Be Exposed To Covid-19 Risk Among Young Adults In France," CEPR Discussion Papers 15560, C.E.P.R. Discussion Papers.
    9. Lutz Bellmann & Olaf Hübler, 2022. "Personality traits, working conditions and health: an empirical analysis based on the German Linked Personnel Panel, 2013–2017," Review of Managerial Science, Springer, vol. 16(2), pages 283-318, February.
    10. Quitterie Roquebert, 2022. "Can informal care help preserve mental health in nursing homes? Evidence of gender effects," Working Papers of BETA 2022-08, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    11. Fabrice Etilé & Pierre-Yves Geoffard, 2020. "Anxiety Increases the Willingness the Willingness to Be Exposed to Covid-19 Risk among Young Adults in France," PSE Working Papers halshs-03066539, HAL.
    12. Sunoong Hwang & Heeju Shin, 2023. "Gender Gap in Mental Health during the COVID-19 Pandemic in South Korea: A Decomposition Analysis," IJERPH, MDPI, vol. 20(3), pages 1-14, January.
    13. Awaworyi Churchill, Sefa & Munyanyi, Musharavati Ephraim & Prakash, Kushneel & Smyth, Russell, 2020. "Locus of control and the gender gap in mental health," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 740-758.
    14. Golo Henseke, 2018. "Good jobs, good pay, better health? The effects of job quality on health among older European workers," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(1), pages 59-73, January.
    15. Thomas Barnay & Éric Defebvre, 2018. "L'influence des conditions de travail passées sur la santé et la consommation de médicaments auto-déclarées des retraités," Post-Print hal-02070314, HAL.

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    More about this item

    Keywords

    Social norms; Job quality; EU countries (30); Health; Gender;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I19 - Health, Education, and Welfare - - Health - - - Other
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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