Fuzzy regression discontinuity design (RDD) is a statistical method used to estimate causal effects when treatment assignment is based on a continuous variable with some uncertainty or fuzziness in the assignment mechanism. Fuzzy RDD acknowledges this uncertainty by allowing for the possibility that units near the threshold score may have a non-zero probability of being assigned to either treatment or control groups Continue reading Fuzzy Regression Discontinuity Analysis in Python – An Introduction and Application in ESG Studies