Statistical Power for Regression Discontinuity Designs in Education Empirical Estimates of Design Effects Relative to Randomized Controlled Trials

Using data from four previously published education studies, this working paper finds that a study using a regression discontinuity design needs between 9 and 17 times as many schools or students as a randomized controlled trial to produce an impact with the same level of statistical precision. The need for a large sample is driven primarily by bandwidth selection, not adjusting for random misspecification error.

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Year of publication:	2012-06-30
Authors:	Deke, John ; Dragoset, Lisa
Institutions:	Mathematica Policy Research
Keywords:	Statistical Power Regression Discontinuity Designs Randomized Controlled Trials Education

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Extent:	application/pdf
Series:	Mathematica Policy Research Reports.
Type of publication:	Book / Working Paper
Notes:	2 pages long
Classification:	I - Health, Education, and Welfare
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011262006