Quantile Regression: 40 Years On

被引:178
作者
Koenker, Roger [1 ]
机构
[1] Univ Illinois, Dept Econ, Urbana, IL 61801 USA
来源
ANNUAL REVIEW OF ECONOMICS, VOL 9 | 2017年 / 9卷
关键词
quantile regression; treatment effects; heterogeneity; causal inference; EFFICIENT SEMIPARAMETRIC ESTIMATION; INFERENCE; SELECTION; MODELS; IDENTIFICATION; VARIABLES; CURVES;
D O I
10.1146/annurev-economics-063016-103651
中图分类号
F [经济];
学科分类号
02 ;
摘要
Since Quetelet's work in the nineteenth century, social science has iconified the average man, that hypothetical man without qualities who is comfortable with his head in the oven and his feet in a bucket of ice. Conventional statistical methods since Quetelet have sought to estimate the effects of policy treatments for this average man. However, such effects are often quite heterogeneous: Medical treatments may improve life expectancy but also impose serious short-term risks; reducing class sizes may improve the performance of good students but not help weaker ones, or vice versa. Quantile regression methods can help to explore these heterogeneous effects. Some recent developments in quantile regression methods are surveyed in this review.
引用
收藏
页码:155 / 176
页数:22
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