Identifying the causal effects of a policy by looking at the average change over time in the outcome variable is compared to the average change in a control group is called
A) difference-in-differences.
B) statistical significance.
C) regression discontinuity.
D) intention to treat.

Question

Quizplus · Accepted Answer

Difference-in-differences is a statistical technique used to estimate the effect of a specific intervention or treatment (such as a policy change) by comparing the before-and-after changes in outcomes between a treatment group and a control group. This method helps in isolating the effects of the intervention from other factors that might also influence the outcome.

Identifying the Causal Effects of a Policy by Looking at the Average