The potential outcomes framework is a foundational concept in causal inference that helps researchers understand the causal effects of treatments or interventions by comparing observed outcomes to hypothetical scenarios where the treatment was not applied. It is based on the idea of counterfactuals, which represent what would have happened to the same individuals under different circumstances, allowing for a clearer understanding of causality in impact evaluation.
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