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We consider inference in regression discontinuity designs when the running variable only takes a moderate number of distinct values. In particular, we study the common practice of using confidence intervals (CIs) based on standard errors that are clustered by the running variable. We derive...
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experiments, we stress randomization-based inference as opposed to sampling-based inference. In randomization-based inference …, uncertainty in estimates arises naturally from the random assignment of the treatments, rather than from hypothesized sampling …
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