Regression discontinuity: review with extensions

Jin young Choi; Myoung jae Lee

doi:10.1007/s00362-016-0745-z

Regression discontinuity: review with extensions

Jin young Choi, Myoung jae Lee

Research output: Journal Publication › Article › peer-review

23 Citations (Scopus)

Abstract

In treatment effect analysis, often the treatment takes a particular structure: ‘on’ if an underlying continuous variable crosses a threshold, and ‘off’ otherwise. Such a treatment occurs in various institutional settings such as a test score crossing a threshold to graduate, or income falling below a threshold to qualify for an aid. In this kind of cases, the study design is called ‘regression discontinuity (RD)’, which is popular in analyzing observational data, as long as the treatment takes the required form. This paper reviews RD to convey its essentials, and provides some extensions. First, the main RD idea based on local randomization due to an institutional/legal break is introduced. Second, treatment effects identified by RD are explored. Third, popular RD estimators are reviewed. Fourth, main specification tests are examined. Fifth, special RD topics are reviewed. Also, an empirical illustration is provided.

Original language	English
Pages (from-to)	1217-1246
Number of pages	30
Journal	Statistical Papers
Volume	58
Issue number	4
DOIs	https://doi.org/10.1007/s00362-016-0745-z
Publication status	Published - 1 Dec 2017
Externally published	Yes

Keywords

Instrumental variable estimator
Nonparametrics
Regression discontinuity

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

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10.1007/s00362-016-0745-z

Cite this

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Regression discontinuity: review with extensions

Abstract

Keywords

ASJC Scopus subject areas

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