Measuring Ex-Ante Welfare in Insurance Markets

Working Paper: NBER ID: w24470

Authors: Nathaniel Hendren

Abstract: The willingness to pay for insurance captures the value of insurance against only the risk that remains when choices are observed. This paper develops tools to measure the ex-ante expected utility impact of insurance subsidies and mandates when choices are observed after some insurable information is revealed. The approach retains the transparency of using reduced-form willingness to pay and cost curves, but it adds one additional sufficient statistic: the difference in marginal utilities between insured and uninsured. I provide an approach to estimate this statistic that uses only reduced-form willingness to pay and cost curves, combined with either a measure of risk aversion. I compare the approach to structural approaches that require fully specifying the choice environment and information sets of individuals. I apply the approach using existing willingness to pay and cost curve estimates from the low-income health insurance exchange in Massachusetts. Ex-ante optimal insurance prices are roughly 30% lower than prices that maximize market surplus. While mandates would increase deadweight loss, the results suggest they would actually increase ex-ante expected utility.

Keywords: Insurance; Welfare; Subsidies; Mandates; Expected Utility

JEL Codes: H0; I11; I3


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
difference in marginal utilities of income between insured and uninsured individuals (G52)ex-ante expected utility (D81)
pricing strategies (D49)welfare outcomes (I38)
mandates (D72)deadweight loss (H21)
mandates (D72)ex-ante expected utility (D81)
perceived value (D46)policy acceptance (G52)
information available to individuals at the time of choice (D87)welfare impacts of insurance policies (G52)

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