Lee and Lemieux refer to the influential work by researchers who contributed significantly to the understanding of regression discontinuity designs, particularly in distinguishing between sharp and fuzzy designs. Their analysis helps clarify how causal effects can be identified when a treatment is assigned based on a cutoff point and how this assignment can vary across different contexts. They provide a foundation for understanding the implications of the treatment assignment mechanisms and the associated assumptions in causal inference.
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