Difference-in-differences is a statistical technique used to estimate causal relationships by comparing the changes in outcomes over time between a treatment group and a control group. This method helps in understanding the impact of interventions by analyzing how outcomes evolve in both groups before and after the intervention, allowing for more accurate conclusions about effectiveness.
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