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Mortality by marital status in a rapidly changing society: Evidence from the Czech Republic

Author

Listed:
  • Markéta Pechholdová

    (Vysoká škola ekonomická v Praze (VŠE))

  • Gabriela Šamanová

    (Akademie věd České Republiky)

Abstract

Background: Married people tend to live longer than their unmarried counterparts, and the advantage in life expectancy enjoyed by married people relative to other groups has been increasing over time. The question of whether the benefits of marriage result from selection or protection continues to be debated. But even as this advantage has been increasing, the share of married people in the population has been declining. Objective: We explore the dynamics of marital status mortality differentials in the Czech Republic since 1961. We are interested in the selection environment before and after the abrupt political shift in 1989, which led to a great deal of social change. Methods: Unlinked all-cause death counts were combined with the census population by marital status. Changes in overall life expectancy at age 30 were decomposed into those associated with mortality change within marital statuses, and those attributable to changes in the marital status composition of the population. Results: Mortality differences by marital status increased mainly between 1961 and 1991, and were largely due to the failure of unmarried adults to catch up with the (modest) mortality improvements seen among married adults. Since 1991, the differentials have risen only slightly. Never-married people have lagged the most, with a life expectancy in 2010 that was 9.6 years lower among men and 7.7 years among women than among their married counterparts. The decrease in marriage prevalence reduced the improvement in overall male life expectancy by 0.9 years. Conclusions: While there has been an absolute improvement in mortality among unmarried men since 1991, the life expectancy gap between married and unmarried men has increased. A plausible explanation for this gap is that the benefits of marriage are now available to a more (positively) selected population. Further research is needed to confirm these findings.

Suggested Citation

  • Markéta Pechholdová & Gabriela Šamanová, 2013. "Mortality by marital status in a rapidly changing society: Evidence from the Czech Republic," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(12), pages 307-322.
    • Handle: RePEc:dem:demres:v:29:y:2013:i:12
    DOI: 10.4054/DemRes.2013.29.12
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    References listed on IDEAS

    as
    1. Yuanreng Hu & Noreen Goldman, 1990. "Mortality Differentials by Marital Status: An International Comparison," Demography, Springer;Population Association of America (PAA), vol. 27(2), pages 233-250, May.
    2. Domantas Jasilionis & Vladimir M. Shkolnikov & Evgueni M. Andreev & Dmitri A. Jdanov & Dalia Ambrozaitiene & Vlada Stankuniene & France Meslé & Jacques Vallin, 2007. "Différences socioculturelles de mortalité en Lituanie : résultats d'un couplage des données de l'état civil et du recensement de 2001," Population (french edition), Institut National d'Études Démographiques (INED), vol. 62(4), pages 707-757.
    3. Evgeny M. Andreev & Vladimir Shkolnikov & Alexander Begun, 2002. "Algorithm for decomposition of differences between aggregate demographic measures and its application to life expectancies, healthy life expectancies, parity-progression ratios and total fertility rat," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 7(14), pages 499-522.
    4. Lund, Rikke & Due, Pernille & Modvig, Jens & Holstein, Bjørn Evald & Damsgaard, Mogens Trab & Andersen, Per Kragh, 2002. "Cohabitation and marital status as predictors of mortality--an eight year follow-up study," Social Science & Medicine, Elsevier, vol. 55(4), pages 673-679, August.
    5. Tomáš Sobotka & Anna Šťastná & Kryštof Zeman & Dana Hamplová & Vladimíra Kantorová, 2008. "Czech Republic: A rapid transformation of fertility and family behaviour after the collapse of state socialism," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 19(14), pages 403-454.
    6. repec:cai:popine:popu_p1977_32n1_0125 is not listed on IDEAS
    7. Tapani Valkonen & Pekka Martikainen & Jenni Blomgren, 2004. "Increasing excess mortality among non-married elderly people in developed countries," Demographic Research Special Collections, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 2(12), pages 305-330.
    8. Valkonen, Tapani, 1993. "Problems in the measurement and international comparison of socio-economic differences in mortality," Social Science & Medicine, Elsevier, vol. 36(4), pages 409-418, February.
    9. Watson, Peggy, 1995. "Explaining rising mortality among men in Eastern Europe," Social Science & Medicine, Elsevier, vol. 41(7), pages 923-934, October.
    10. Evgeny M. Andreev & Vladimir M. Shkolnikov & Alexander Z. Begun, 2002. "Algorithm for decomposition of differences between aggregate demographic measures and its application to life expectancies, Gini coefficients, health expectancies, parity-progression ratios and total ," MPIDR Working Papers WP-2002-035, Max Planck Institute for Demographic Research, Rostock, Germany.
    11. Lee Lillard & Constantijn Panis, 1996. "Marital status and mortality: The role of health," Demography, Springer;Population Association of America (PAA), vol. 33(3), pages 313-327, August.
    12. Scafato, Emanuele & Galluzzo, Lucia & Gandin, Claudia & Ghirini, Silvia & Baldereschi, Marzia & Capurso, Antonio & Maggi, Stefania & Farchi, Gino & for the ILSA Working Group, 2008. "Marital and cohabitation status as predictors of mortality: A 10-year follow-up of an Italian elderly cohort," Social Science & Medicine, Elsevier, vol. 67(9), pages 1456-1464, November.
    13. Shkolnikov, Vladimir M. & Jasilionis, Domantas & Andreev, Evgeny M. & Jdanov, Dmitri A. & Stankuniene, Vladislava & Ambrozaitiene, Dalia, 2007. "Linked versus unlinked estimates of mortality and length of life by education and marital status: Evidence from the first record linkage study in Lithuania," Social Science & Medicine, Elsevier, vol. 64(7), pages 1392-1406, April.
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    More about this item

    Keywords

    mortality; marital status; Czech Republic; differential mortality;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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