Difference in Differences (DiD) is a statistical technique used in econometrics and social sciences for estimating causal effects. It is particularly useful in observational studies where random assignment to treatment and control groups is not possible. The method compares the changes in outcomes over time between a treatment group (which receives an intervention) and a control group (which does not).
Articles by others on the same topic
There are currently no matching articles.