Nonparametric Welfare Analysis

Nonparametric Welfare Analysis 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). http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annual Review of Economics Annual Reviews

Nonparametric Welfare Analysis

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Publisher
Annual Reviews
Copyright
Copyright 2017 by Annual Reviews. All rights reserved
ISSN
1941-1383
eISSN
1941-1391
D.O.I.
10.1146/annurev-economics-080315-015107
Publisher site
See Article on Publisher Site

Abstract

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).

Journal

Annual Review of EconomicsAnnual Reviews

Published: Aug 2, 2017

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