Breaking the Perverse Health-debt Cycle in Sri Lanka: Policy Options
Ramanie Samaratunge,
Ajantha Sisira Kumara and
Lakmal Abeysekera
Journal of Policy Modeling, 2020, vol. 42, issue 3, 728-745
Abstract:
This paper proposes a finite mixture model to examine how health adversities influence indebtedness of Sri Lankan households. After accounting for unobserved heterogeneity, our empirical analysis reveals that households headed by ill-health members and those with hospitalization are inevitably more vulnerable to indebtedness. The ill-health status of other working-age members also creates milder effects on household indebtedness. We confirm that the health-debt cycle is more severe for urban households, compared to their rural counterparts. The study is testimony to re-emphasizing the role of government in providing much-needed financial protection to vulnerable households and implementing differentiated-policy packages for urban and rural sectors in order to effectively break the health-debt cycle.
Keywords: Ill-health; Household surveys; Indebtedness; Unobserved-heterogeneity; Living sector (search for similar items in EconPapers)
JEL-codes: C54 C55 I12 I31 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0161893820300089
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:jpolmo:v:42:y:2020:i:3:p:728-745
DOI: 10.1016/j.jpolmod.2020.01.003
Access Statistics for this article
Journal of Policy Modeling is currently edited by A. M. Costa
More articles in Journal of Policy Modeling from Elsevier
Bibliographic data for series maintained by Catherine Liu (repec@elsevier.com).