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• W2181548393 abstract "Summary This paper proposes a framework to model welfare effects that are associated with a price change in a population of heterogeneous consumers. The framework is similar to that of Hausman and Newey ( Econometrica , 1995, 63 , 1445–1476), but allows for more general forms of heterogeneity. Individual demands are characterized by a general model that is nonparametric in the regressors, as well as monotonic in unobserved heterogeneity, allowing us to identify the distribution of welfare effects. We first argue why a decision maker should care about this distribution. Then we establish constructive identification, propose a sample counterparts estimator, and analyze its large‐sample properties. Finally, we apply all concepts to measuring the heterogeneous effect of a change of gasoline price using US consumer data and find very substantial differences in individual effects across quantiles." @default.
• W2181548393 created "2016-06-24" @default.
• W2181548393 creator A5081422895 @default.
• W2181548393 creator A5081793292 @default.
• W2181548393 date "2017-07-18" @default.
• W2181548393 modified "2023-09-24" @default.
• W2181548393 title "Estimating the distribution of welfare effects using quantiles" @default.
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• W2181548393 doi "https://doi.org/10.1002/jae.2587" @default.
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