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Nonparametric Welfare Analysis
DOI:10.1146/annurev-economics-080315-015107.png)
摘要
En 中文
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).
Keyword:
consumer surplus
deadweight loss
identification
quantiles
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期刊
IF:
11.4
论文数:
356
被引数:
4.5K
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暂无机构信息
引用论文
EFFICIENT METHODS OF MEASURING WELFARE CHANGE AND COMPENSATED INCOME IN TERMS OF ORDINARY DEMAND-FUNCTIONS
ECONOMETRICA
IF7.1

