A quasi-experimental method, regression discontinuity estimates causal effects by comparing outcomes just above and below a fixed cutoff point. It’s used in policy evaluation, education, and economics to analyze program impacts. Researchers and policymakers benefit from this rigorous approach, as it isolates treatment effects without requiring random assignment, providing credible evidence for decision-making.
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