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Reprint of: Marriage and health: Selection, protection, and assortative mating

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  • Guner, Nezih
  • Kulikova, Yuliya
  • Llull, Joan

Abstract

Using data from the Panel Study of Income Dynamics (PSID) and the Medical Expenditure Panel Survey (MEPS), we analyze the health gap between married and unmarried individuals of working-age. Controlling for observables, we find a gap that peaks at 10% points at ages 55–59 years. The marriage health gap is similar for men and women. If we allow for unobserved heterogeneity in innate health (permanent and age-dependent), potentially correlated with timing and likelihood of marriage, we find that the effect of marriage on health disappears below age 40 years, while about 5% points difference between married and unmarried individuals remains at older ages (55–59 years). This indicates that the observed gap is mainly driven by selection into marriage at younger ages, but there might be a protective effect of marriage at older ages. Exploring the mechanisms behind this result, we find that better innate health is associated with a higher probability of marriage and a lower probability of divorce, and there is strong assortative mating among couples by innate health. We also find that married individuals are more likely to have a healthier behavior compared to unmarried ones. Finally, we find that health insurance is critical for the beneficial effect of marriage.

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  • Guner, Nezih & Kulikova, Yuliya & Llull, Joan, 2018. "Reprint of: Marriage and health: Selection, protection, and assortative mating," European Economic Review, Elsevier, vol. 109(C), pages 162-190.
  • Handle: RePEc:eee:eecrev:v:109:y:2018:i:c:p:162-190
    DOI: 10.1016/j.euroecorev.2018.06.002
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    2. Mao, Fubing & Ma, Lijia & He, Qiang & Xiao, Gaoxi, 2020. "Match making in complex social networks," Applied Mathematics and Computation, Elsevier, vol. 371(C).
    3. Bellido, Héctor & Marcén, Miriam, 2020. "On the relationship between body mass index and marital dissolution," Economic Modelling, Elsevier, vol. 91(C), pages 326-340.
    4. Russell Spiker, 2021. "Same-Sex, Same Health? Health Concordance Among Same-Sex and Different-Sex Couples," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(6), pages 1313-1340, December.
    5. Annarita Macchioni Giaquinto & Andrew M. Jones & Nigel Rice & Francesca Zantomio, 2021. "Labour supply and informal care responses to health shocks within couples: evidence from the UKHL," Working Papers 2021:11, Department of Economics, University of Venice "Ca' Foscari".
    6. Jiaping Zhang & Mingwang Cheng & Xinyu Wei & Xiaomei Gong, 2018. "Does Mobile Phone Penetration Affect Divorce Rate? Evidence from China," Sustainability, MDPI, vol. 10(10), pages 1-19, October.
    7. Chunzhou Mu & Jane Hall, 2023. "Marital status and hospital use in older adults," Australian Economic Papers, Wiley Blackwell, vol. 62(2), pages 185-213, June.
    8. Allan, Rebecca & Williamson, Paul & Kulu, Hill, 2019. "Gendered mortality differentials over the rural-urban continuum: The analysis of census linked longitudinal data from England and Wales," Social Science & Medicine, Elsevier, vol. 221(C), pages 68-78.
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    10. Annarita Macchioni Giaquinto & Andrew M. Jones & Nigel Rice & Francesca Zantomio, 2022. "Labor supply and informal care responses to health shocks within couples: Evidence from the UK," Health Economics, John Wiley & Sons, Ltd., vol. 31(12), pages 2700-2720, December.
    11. Quan, Shiwen & Zhang, Huiyun, 2024. "The relationship between Marriage and Body Mass Index in China:Evidence from the China Health and Nutrition Survey," Economics & Human Biology, Elsevier, vol. 53(C).
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    14. DeLuca Bishop, Haylee K. & Claxton, Shannon E. & van Dulmen, Manfred H.M., 2019. "The romantic relationships of those who have experienced adoption or foster care: A meta-analysis," Children and Youth Services Review, Elsevier, vol. 105(C), pages 1-1.
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    17. Cozzi, Guido & Francesconi, Marco & Lundberg, Shelly & Mantovan, Noemi & Sauer, Robert M., 2018. "Advancing the economics of gender: New insights and a roadmap for the future," European Economic Review, Elsevier, vol. 109(C), pages 1-8.
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    More about this item

    Keywords

    Health; Marriage; Innate health; Protective effect of marriage; Assortative mating; Panel data; Grouped-fixed-effects estimator;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General

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