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Catastrophic Medical Expenditure Risk

Authors: Gabriela Flores; Owen O'Donnell;

Catastrophic Medical Expenditure Risk

Abstract

We propose a measure of household exposure to particularly onerous medical expenses. The measure can be decomposed into the probability that medical expenditure exceeds a threshold, the loss due to predictably low consumption of other goods if it does and the further loss arising from the volatility of medical expenses above the threshold. Depending on the choice of threshold, the measure is consistent with a model of reference-dependent utility with loss aversion. Unlike the risk premium, the measure is only sensitive to particularly high expenses, and can identify households that expect to incur such expenses and would benefit from subsidised, but not actuarially fair, insurance. An empirical illustration using data from seven Asian countries demonstrates the importance of taking account of informal insurance and reveals clear differences in catastrophic medical expenditure risk across and within countries. In general, risk is higher among poorer, rural and chronically ill populations.

Country
Netherlands
Keywords

Risk, Financing, Personal, catastrophic payments, Asia, Catastrophic payments, downside risk, medical expenditures, Risk Assessment, Insurance Coverage, SDG 3 - Good Health and Well-being, medical expenditures, catastrophic payments, downside risk, reference-dependent utility, Asia, D12, Humans, EUR ESE 30, Catastrophic Illness, D31, I15, Insurance, Health, Models, Statistical, ddc:330, Reference-dependent utility, I13, Medical expenditures, reference-dependent utility, Health Surveys, Asien, Cross-Sectional Studies, Gesundheitskosten, D80, Vergleich, Health Expenditures, Katastrophenschaden, jel: jel:D80, jel: jel:D12, jel: jel:D31, jel: jel:I15, jel: jel:I13

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Average
hybrid