Fuzzy regression discontinuity is a quasi-experimental design used to estimate causal effects when treatment assignment is influenced by a threshold, but not strictly determined by it. In this design, individuals near the cutoff may not receive the treatment, creating a fuzzy boundary between treated and untreated groups. This leads to variation in treatment status that can be exploited for causal inference, particularly in settings where compliance with treatment is imperfect.
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