Web Reference: Jul 23, 2025 · Difference-in-Differences (DiD) is a widely used statistical technique to estimate the effect of a treatment or intervention by comparing the changes in outcomes over time between a treatment group and a control group. Differences-in-Differences regression (DID) is used to asses the causal effect of an event by comparing the set of units where the event happened (treatment group) in relation to units where the event did not happen (control group). Difference in differences requires data measured from a treatment group and a control group at two or more different time periods, specifically at least one time period before "treatment" and at least one time period after "treatment."
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Introduction to Differences-in-Differences
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