A statistical quantitative research design that calculates program impact by comparing changes in indicators over time between treated subjects and untreated control groups.
Understanding concepts like Difference-in-Differences (DID) is critical for designing robust policies, verifying indicators, and executing public finance audits. Policy Oracle incorporates these metrics across all public sector and corporate engagements in South Sudan.
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