Regression Discontinuity - Institute for Policy Research
Regression Discontinuity - Institute for Policy Research
Regression Discontinuity - Institute for Policy Research
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Typical estimation strategy <strong>for</strong><br />
RDs with Multiple Cutoffs<br />
Where Y ij is the outcome <strong>for</strong> participant i in cutoff group j; D is whether<br />
unit i is in treatment or comparison in cutoff group j; AV i is assignment<br />
score <strong>for</strong> unit i (standardized and centered by cutoff group); X i and Z j<br />
are vectors of unit and cutoff-group level covariates (respectively); u j<br />
and ε ij are the unit and cutoff group level random error terms, assumed<br />
to be iid, and τ is the treatment effect <strong>for</strong> unit i in cutoff group j.<br />
• Alternatively, cutoff group-based fixed effects might be included in the<br />
model.<br />
• This model assumes that 1) each cutoff group has the same functional<br />
<strong>for</strong>m; 2) constant treatment effects across cutoffs (though we could<br />
include treatment by cutoff interaction terms); and 3) standardizing and<br />
centering assignment scores by cutoff group weighs units appropriately<br />
<strong>for</strong> estimating desired treatment effects.