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

Oznur Ozdamar and Eleftherios Giovanis ()

Economic Analysis and Policy, 2017, vol. 53, issue C, 46-61

Abstract: 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.

Keywords: Bayesian Networks; Directed Acyclic Graphs; Health status; Poverty; Survivor benefits (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0313592616300509
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecanpo:v:53:y:2017:i:c:p:46-61

DOI: 10.1016/j.eap.2016.11.001

Access Statistics for this article

Economic Analysis and Policy is currently edited by Clevo Wilson

More articles in Economic Analysis and Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().