IDEAS home Printed from
   My bibliography  Save this article

The causal effects of survivors’ benefits on health status and poverty of widows in Turkey: Evidence from Bayesian Networks


  • Ozdamar, Oznur
  • Giovanis, Eleftherios


This study examines the effects of survivor benefits on health status and wealth in households of widowed mothers. The analysis relies on the cross-sectional Income and Living Conditions Survey (ILCS) in Turkey over the period 2006–2012. We apply Ordered Logit and Probit models, and we propose the Bayesian Network (BN) framework to explore the causal effects of survivor benefits using observational data. The results show that the widowed mothers who receive the benefits are more likely to report higher levels of health status by 0.11 units on a scale between 1–5. In addition, their wealth is improved. For the sample of the survivor benefit claimants, the effects of the benefits are positive, and they improve health status by about 6 per cent.

Suggested Citation

  • Ozdamar, Oznur & Giovanis, Eleftherios, 2017. "The causal effects of survivors’ benefits on health status and poverty of widows in Turkey: Evidence from Bayesian Networks," Economic Analysis and Policy, Elsevier, vol. 53(C), pages 46-61.
  • Handle: RePEc:eee:ecanpo:v:53:y:2017:i:c:p:46-61
    DOI: 10.1016/j.eap.2016.11.001

    Download full text from publisher

    File URL:
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. Gary R. Lee & Alfred DeMaris & Stefoni Bavin & Rachel Sullivan, 2001. "Gender Differences in the Depressive Effect of Widowhood in Later Life," Journals of Gerontology: Series B, Gerontological Society of America, vol. 56(1), pages 56-61.
    2. Jurg Siegenthaler, 1996. "Poverty Among Single Elderly Women Under Different Systems of Old-Age Security: A Comparative Review," LIS Working papers 149, LIS Cross-National Data Center in Luxembourg.
    3. van der Meer, Joost B. W. & Mackenbach, Johan P., 1999. "The care and course of diabetes: differences according to level of education," Health Policy, Elsevier, vol. 46(2), pages 127-141, January.
    4. Burcay Erus & Nazli Aktakke, 2012. "Impact of healthcare reforms on out-of-pocket health expenditures in Turkey for public insurees," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(3), pages 337-346, June.
    5. Ozdamar, Oznur & Giovanis, Eleftherios, 2014. "Valuing the Effects of Air and Noise Pollution on Health Status in Turkey," MPRA Paper 59992, University Library of Munich, Germany.
    6. repec:eee:ecomod:v:203:y:2007:i:3:p:312-318 is not listed on IDEAS
    7. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    8. Khanam, Rasheda & Nghiem, Son & Connelly, Luke, 2016. "The effects of parental leave on child health and postnatal care: Evidence from Australia," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 17-29.
    9. Sabates, Ricardo & Feinstein, Leon, 2006. "The role of education in the uptake of preventative health care: The case of cervical screening in Britain," Social Science & Medicine, Elsevier, vol. 62(12), pages 2998-3010, June.
    10. Waldron, Ingrid & Hughes, Mary Elizabeth & Brooks, Tracy L., 1996. "Marriage protection and marriage selection--Prospective evidence for reciprocal effects of marital status and health," Social Science & Medicine, Elsevier, vol. 43(1), pages 113-123, July.
    11. Robert Haveman & Barbara Wolfe & James Spaulding, 1991. "Childhood events and circumstances influencing high school completion," Demography, Springer;Population Association of America (PAA), vol. 28(1), pages 133-157, February.
    12. Avis, Nancy E. & Brambilla, Donald J. & Vass, Kerstin & McKinlay, John B., 1991. "The effect of widowhood on health: A prospective analysis from the Massachusetts women's health study," Social Science & Medicine, Elsevier, vol. 33(9), pages 1063-1070, January.
    Full references (including those not matched with items on IDEAS)


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecanpo:v:53:y:2017:i:c:p:46-61. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.