Estimating Willingness-to-Pay for Health Insurance Among Rural Poor in India by Reference to Engel’s Law
David Dror
Chapter 7 in Financing Micro Health Insurance:Theory, Methods and Evidence, 2018, pp 139-149 from World Scientific Publishing Co. Pte. Ltd.
Abstract:
The following sections are included:Even the rural poor, with very little money, education or experience with (health) insurance consider health insurance as a necessity good (akin to food).On an average, willingness to pay (WTP) for community-based health insurance (CBHI) was around 4.5% of food expenditures in the studied locations.The average expenditure on food can serve as a better data series for the estimation of WTP for health insurance (HI) than either overall income or discretionary income.
Keywords: Microinsurance; Micro Health Insurance; Health Insurance; Community-Based Health Insurance; CBHI; Demand for Health Insurance; Willingness to Pay for Health Insurance; Microinsurance Package Design; Implementation of CBHI; Business Case of Microinsurance (search for similar items in EconPapers)
JEL-codes: I13 I15 (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789813238480_0007 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789813238480_0007 (text/html)
Ebook Access is available upon purchase.
Related works:
Journal Article: Estimating Willingness-to-Pay for health insurance among rural poor in India by reference to Engel's law (2013) 
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:wsi:wschap:9789813238480_0007
Ordering information: This item can be ordered from
Access Statistics for this chapter
More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().