Regression Discontinuity - Institute for Policy Research
Regression Discontinuity - Institute for Policy Research
Regression Discontinuity - Institute for Policy Research
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Power Considerations Common to Randomized<br />
Experiments and RDD<br />
1. Sample size -- increase N<br />
2. Distribution of outcome variable - normal if<br />
possible<br />
3. Misallocation rates - lower the better<br />
4. R-square of school- and student-level covariates -<br />
as high as possible<br />
5. Clustered designs and intra-class correlations -- as<br />
low as possible or as reduced as possible through<br />
the use of covariates explaining clustering