Modern Regression Discontinuity Analysis

This article provides a detailed discussion of the theory and practice of modern regression discontinuity (RD) analysis for estimating the effects of interventions or treatments. Part 1 briefly chronicles the history of RD analysis and summarizes its past applications. Part 2 explains how in theory...

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Bibliographic Details
Published in:Journal of research on educational effectiveness 2012-01, Vol.5 (1), p.43-82
Main Author: Bloom, Howard S.
Format: Article
Language:English
Subjects:
Computation
Cutting Scores
Educational evaluation
Intervention
Nonparametric Statistics
Parameter estimation
program impacts
Regression (Statistics)
Regression analysis
regression discontinuity designs
Research Design
Robustness (Statistics)
sample design
Statistical Analysis
Validity
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Summary:This article provides a detailed discussion of the theory and practice of modern regression discontinuity (RD) analysis for estimating the effects of interventions or treatments. Part 1 briefly chronicles the history of RD analysis and summarizes its past applications. Part 2 explains how in theory an RD analysis can identify an average effect of treatment for a population and how different types of RD analyses-"sharp" versus "fuzzy"-can identify average treatment effects for different conceptual subpopulations. Part 3 of the article introduces graphical methods, parametric statistical methods, and nonparametric statistical methods for estimating treatment effects in practice from regression discontinuity data plus validation tests and robustness tests for assessing these estimates. Section 4 considers generalizing RD findings and presents several different views on and approaches to the issue. Part 5 notes some important issues to pursue in future research about or applications of RD analysis.
ISSN:1934-5747
1934-5739
DOI:10.1080/19345747.2011.578707