Transcription of A Practical Guide to Regression Discontinuity
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A Practical Guide to Regression Discontinuity
A Practical Guide to Regression Discontinuity Robin Jacob University of Michigan Pei Zhu Marie-Andr e Somers Howard Bloom MDRC July 2012 Acknowledgments The authors thank Kristin Porter, Kevin Stange, Jeffrey Smith, Michael Weiss, Emily House, and Monica Bhatt for comments on an earlier draft of this paper. We also thank Nicholas Cummins and Edmond Wong for providing outstanding research assistance. The working paper was supported by Grant R305D090008 to MDRC from the Institute of Education Sciences, Department of Education. Dissemination of MDRC publications is supported by the following funders that help finance MDRC s public policy outreach and expanding efforts to communicate the results and implications of our work to policymakers, practitioners, and others: The Annie E. Casey Foundation, The George Gund Foundation, Sandler Foundation, and The Starr Foundation.
Regression discontinuity (RD) analysis is a rigorous nonexperimental1 approach that can be used to estimate program impacts in situations in which candidates are selected for treatment based on whether their value for a numeric rating exceeds a designated threshold or cut-point.
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