Discussion paper
DP16974 Multi-cutoff RD designs with observations located at each cutoff: problems and solutions
In RD designs with multiple cutoffs, the identification of an average causal effect across cutoffs may be problematic if a marginally exposed subject is located exactly at each cutoff. This occurs whenever a fixed number of treatment slots is allocated starting from the subject with the highest (or lowest) value of the score, until exhaustion.
Exploiting the ``within’’ variability at each cutoff is the safest and likely efficient option.
Alternative strategies exist, but they do not always guarantee identification of a meaningful causal effect and are less precise. To illustrate our findings, we revisit the study of Pop-Eleches and Urquiola (2013).
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