The Regression Discontinuity Design (RDD) is one of the emerging methodology for recent policy impact assessment area. But based on the unique nature of RDD, its assumptions for practical application ...
As randomized controlled trials are not always feasible, quasi-experimental methods, such as regression discontinuity design, can expand the scope of clinical investigations aimed at causal inference ...
Lee (2008) uses a regression discontinuity design with the vote share margin as the running variable to estimate the effect of incumbency on likelihood of winning the next election. This plot provides ...
Increases in youth vaping rates and concerns of a new generation of nicotine addicts recently prompted an increase in the federal minimum legal purchase age (MLPA) for tobacco products, including ...
In a fuzzy regression discontinuity (RD) design, the probability of treatment jumps when a running variable (R) passes a threshold (R0). Fuzzy RD estimates are obtained via a procedure analogous to ...
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