Fuzzy regression discontinuity (RD) with multiple cutoffs is a design used in causal inference that allows for the estimation of treatment effects when there are several thresholds that determine treatment assignment, and where not all individuals at or above the cutoff receive the treatment. This approach is particularly useful when there is some level of noncompliance or imperfect adherence to the treatment assignment around each cutoff point.
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