Detalles del recurso


Exact consumer's surplus and deadweight loss are the most widely used welfare and economic efficiency measures. These measures can be computed from demand functions in straightforward ways. Nonparametric estimation can be used to estimate the welfare measures. In doing so, it seems important to account correctly for unobserved heterogeneity, given the high degree of unexplained demand variation often found in applications. This review surveys work on nonparametric welfare analysis, focusing on work that allows for general heterogeneity in demand, such as that of Hausman & Newey (2016). Keywords: consumer surplus, deadweight loss, identification, quantiles

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Hausman, Jerry A -  Newey, Whitney K - 

Id.: 71083178

Versión: 1.0

Estado: Final

Tipo de recurso: Article  -  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

: Creative Commons Attribution-Noncommercial-Share Alike

Requerimientos técnicos:  Browser: Any - 

Relación: [IsBasedOn] MIT Web Domain
[References] Annual Review of Economics

Fecha de contribución: 16-mar-2018


* 1941-1383
* 1941-1391
* Hausman, Jerry A., and Whitney K. Newey. “Nonparametric Welfare Analysis.” Annual Review of Economics, vol. 9, no. 1, Aug. 2017, pp. 521–46.

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