Sharp regression discontinuity is a quasi-experimental design used to identify causal effects by exploiting a predetermined cutoff point that separates treatment and control groups. In this method, the treatment is applied to individuals just above the cutoff, while those just below do not receive it, allowing researchers to compare outcomes between these two groups to estimate the causal effect of the treatment.
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