Web Reference: 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). The treatment effect is the difference between the observed outcome (P 2) and the "normal" outcome (the difference between P 2 and Q). Apr 11, 2025 · Chapter 18 - Difference-in-Differences | The Effect is a textbook that covers the basics and concepts of research design, especially as applied to causal inference from observational data.
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