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Process / pipelineCausal inference for policy

Impact Evaluation Design

Impact evaluation design is the upstream task of structuring an evaluation so that it can credibly attribute changes in outcomes to a policy or program rather than to other factors. Its defining concern is the counterfactual: what would have happened to participants in the absence of the intervention. Codified in resources such as the World Bank's Impact Evaluation in Practice, the design process selects an identification strategy — randomised assignment, or a quasi-experimental method such as difference-in-differences, regression discontinuity, instrumental variables or matching — that constructs a valid comparison and yields an unbiased estimate of the intervention's effect.

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Sources

  1. Gertler, P. J., Martinez, S., Premand, P., Rawlings, L. B., & Vermeersch, C. M. J. (2016). Impact Evaluation in Practice (2nd ed.). Washington, DC: World Bank. ISBN: 9781464807794

How to cite this page

ScholarGate. (2026, June 22). Impact Evaluation Design for Causal Attribution of Policy Effects. ScholarGate. https://scholargate.app/en/public-policy/impact-evaluation-design

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ScholarGateImpact Evaluation Design (Impact Evaluation Design for Causal Attribution of Policy Effects). Retrieved 2026-06-24 from https://scholargate.app/en/public-policy/impact-evaluation-design · Dataset: https://doi.org/10.5281/zenodo.20539026