Regression discontinuity designs: A guide to practice

被引:1843
|
作者
Imbens, Guido W. [3 ,4 ]
Lemieux, Thomas [1 ,2 ]
机构
[1] Univ British Columbia, Dept Econ, Vancouver, BC V6T 1Z1, Canada
[2] NBER, Vancouver, BC V6T 1Z1, Canada
[3] Harvard Univ, Dept Econ, Cambridge, MA 02138 USA
[4] NBER, Littauer Ctr M 24, Cambridge, MA 02138 USA
基金
美国国家科学基金会;
关键词
regression discontinuity; treatment effects; nonparametric estimation;
D O I
10.1016/j.jeconom.2007.05.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
in regression discontinuity (RD) designs for evaluating causal effects of interventions, assignment to a treatment is determined at least partly by the value of an observed covariate lying on either side of a fixed threshold. These designs were first introduced in the evaluation literature by Thistlewaite and Campbell [1960. Regression-discontinuity analysis: an alternative to the ex-post Facto experiment. Journal of Educational Psychology 51, 309-317] With the exception of a few unpublished theoretical papers, these methods did not attract much attention in the economics literature until recently. Starting in the late 1990s, there has been a large number of studies in economics applying and extending RD methods. In this paper we review some of the practical and theoretical issues in implementation of RD methods. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:615 / 635
页数:21
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