Conditions for extrapolating differences in consumption to differences in welfare.

We characterize conditions under which a better consumption distribution implies higher welfare. Specifically, here "better consumption" means first‐order stochastic dominance, and "higher welfare" means higher expected utility for every subpopulation of individuals with the same utility function. A...

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Detalles Bibliográficos
Publicado en:Economic Inquiry Vol. 62; no. 3; pp. 1090 - 1105
Autores principales: Zhao, Wei, Kaplan, David M.
Formato: Artículo
Publicado: Wiley-Blackwell Jul2024
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:We characterize conditions under which a better consumption distribution implies higher welfare. Specifically, here "better consumption" means first‐order stochastic dominance, and "higher welfare" means higher expected utility for every subpopulation of individuals with the same utility function. Although this implication seems natural, we first provide a counterexample wherein better consumption risk allocation outweighs lower consumption. We then show that higher expected utility results from higher consumption in different settings, including fixed dependence (fixed copula) between consumption and individual risk preferences, or alternatively using the rank invariance assumption from the treatment effects literature. These are discussed in several real‐world examples.