Extending the regression-discontinuity approach to multiple assignment variables

被引：76
|
作者：
Papay, John P. [1 ]
Willett, John B. [1 ]
Murnane, Richard J. [1 ,2 ]
机构：
[1] Harvard Univ, Grad Sch Educ, Cambridge, MA 02138 USA
[2] Natl Bur Econ Res, Cambridge, MA 02138 USA
来源：
JOURNAL OF ECONOMETRICS | 2011年 / 161卷 / 02期
关键词：
Regression discontinuity; Semi-parametric estimation; Treatment effects; SCHOOL EXIT EXAM; STUDENT-ACHIEVEMENT; DESIGN; ECONOMICS; LIFE;
D O I：
10.1016/j.jeconom.2010.12.008
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
The recent scholarly attention to the regression-discontinuity design has focused exclusively on the application of a single assignment variable. In many settings, however, exogenously imposed cutoffs on several assignment variables define a set of different treatments. In this paper, we show how to generalize the standard regression-discontinuity approach to include multiple assignment variables simultaneously. We demonstrate that fitting this general, flexible regression-discontinuity model enables us to estimate several treatment effects of interest. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码：203 / 207
页数：5
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