Regression Discontinuity Design (RDD) is a quasi-experimental pretest-posttest design that aims to identify causal effects by assigning a cutoff or threshold above or below which an intervention is assigned. It leverages the assumption that units just above and below the cutoff are similar in all respects except for the treatment, allowing for a comparison that mimics random assignment.