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fuzzy regression discontinuity designESG Holist
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85% Informative
Fuzzy 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.
It 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 the treatment or control groups.
The assignment to the treatment group is considered fuzzy in this study due to potential challenges in adhering to the eligibility criteria set by microcredit programs.
This article has provided an introductory overview of fuzzy regression discontinuity analysis in Python .
By leveraging the rdrobust package, researchers can effectively analyze data with fuzzy treatment assignment, allowing for more nuanced insights into the impact of interventions or policies.
As ESG considerations continue to gain prominence in various fields, integration of fuzzy RDD analysis offers a valuable tool.
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