Identifying the causal effects of a policy by looking at two samples that lie on either side of a threshold is called
A) difference-in-differences.
B) statistical significance.
C) regression discontinuity.
D) intention to treat.

Question

Quizplus · Accepted Answer

Regression discontinuity design is a quasi-experimental pretest-posttest design that allows researchers to estimate a causal effect of an intervention by assigning a cutoff or threshold above or below which an intervention is assigned, and then comparing outcomes on either side of that cutoff.

Identifying the Causal Effects of a Policy by Looking at Two