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Employment Condition, Economic Deprivation and Self-Evaluated Health in Europe: Evidence from EU-SILC 2009–2012

Author

Listed:
  • Silvia Bacci

    (Department of Economics, University of Perugia (IT), 06123 Perugia, Italy)

  • Claudia Pigini

    (Department of Economics and Social Sciences, Università Politecnica delle Marche (IT), 60121 Ancona, Italy)

  • Marco Seracini

    (Department of Economics, University of Perugia (IT), 06123 Perugia, Italy)

  • Liliana Minelli

    (Department of Experimental Medicine, University of Perugia (IT), 06123 Perugia, Italy)

Abstract

Background : The mixed empirical evidence about employment conditions (i.e., permanent vs. temporary job, full-time vs. part-time job) as well as unemployment has motivated the development of conceptual models with the aim of assessing the pathways leading to effects of employment status on health. Alongside physically and psychologically riskier working conditions, one channel stems in the possibly severe economic deprivation faced by temporary workers. We investigate whether economic deprivation is able to partly capture the effect of employment status on Self-evaluated Health Status (SHS). Methods : Our analysis is based on the European Union Statistics on Income and Living Conditions (EU-SILC) survey, for a balanced sample from 26 countries from 2009 to 2012. We estimate a correlated random-effects logit model for the SHS that accounts for the ordered nature of the dependent variable and the longitudinal structure of the data. Results and Discussion : Material deprivation and economic strain are able to partly account for the negative effects on SHS from precarious and part-time employment as well as from unemployment that, however, exhibits a significant independent negative association with SHS. Conclusions : Some of the indicators used to proxy economic deprivation are significant predictors of SHS and their correlation with the employment condition is such that it should not be neglected in empirical analysis, when available and further to the monetary income.

Suggested Citation

  • Silvia Bacci & Claudia Pigini & Marco Seracini & Liliana Minelli, 2017. "Employment Condition, Economic Deprivation and Self-Evaluated Health in Europe: Evidence from EU-SILC 2009–2012," IJERPH, MDPI, vol. 14(2), pages 1-19, February.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:2:p:143-:d:89295
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    References listed on IDEAS

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    1. Andrew E. Clark, 2003. "Unemployment as a Social Norm: Psychological Evidence from Panel Data," Journal of Labor Economics, University of Chicago Press, vol. 21(2), pages 289-322, April.
    2. Tøge, Anne Grete & Blekesaune, Morten, 2015. "Unemployment transitions and self-rated health in Europe: A longitudinal analysis of EU-SILC from 2008 to 2011," Social Science & Medicine, Elsevier, vol. 143(C), pages 171-178.
    3. Kim, Il-Ho & Muntaner, Carles & Vahid Shahidi, Faraz & Vives, Alejandra & Vanroelen, Christophe & Benach, Joan, 2012. "Welfare states, flexible employment, and health: A critical review," Health Policy, Elsevier, vol. 104(2), pages 99-127.
    4. Barr, Ben & Kinderman, Peter & Whitehead, Margaret, 2015. "Trends in mental health inequalities in England during a period of recession, austerity and welfare reform 2004 to 2013," Social Science & Medicine, Elsevier, vol. 147(C), pages 324-331.
    5. Harvey Goldstein & Michael J. R. Healy, 1995. "The Graphical Presentation of a Collection of Means," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 158(1), pages 175-177, January.
    6. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    7. Dawson, Chris & Veliziotis, Michail & Pacheco, Gail & Webber, Don J., 2015. "Is temporary employment a cause or consequence of poor mental health? A panel data analysis," Social Science & Medicine, Elsevier, vol. 134(C), pages 50-58.
    8. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
    9. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    10. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    11. Allison Milner & Andrew Page & Anthony D LaMontagne, 2013. "Long-Term Unemployment and Suicide: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-6, January.
    12. Minelli, Liliana & Pigini, Claudia & Chiavarini, Manuela & Bartolucci, Francesco, 2014. "Employment status and perceived health condition: longitudinal data from Italy," MPRA Paper 55788, University Library of Munich, Germany.
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    2. Bazzoli, Martina & Madia, Joan E. & Nicodemo, Catia & Podestà, Federico, 2024. "Immigration and health outcomes: A study on native health perception and limitations in Europe," Economic Modelling, Elsevier, vol. 131(C).

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