Regression modelQuasi-experimental / causal inference

Counterfactual Impact Evaluation in Education Research

Counterfactual impact evaluation (CIE) is the systematic application of causal inference designs — such as difference-in-differences, regression discontinuity, matching, and instrumental variables — to measure the genuine effect of education programs, policies, or interventions by constructing a credible counterfactual: what would have happened to participants had they not been treated.

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Sources

  1. Blundell, R., & Costa Dias, M. (2002). Alternative approaches to evaluation in empirical microeconomics. Portuguese Economic Journal, 1(2), 91-115. DOI: 10.1007/s10258-002-0006-5
  2. Cerulli, G. (2015). Econometric Evaluation of Socio-Economic Programs: Theory and Applications. Springer. ISBN: 978-3-662-46400-2

Related methods

ScholarGateCounterfactual Impact Evaluation in Education Research (Counterfactual Impact Evaluation in Education Research). Retrieved 2026-06-04 from https://scholargate.app/tr/causal-inference/counterfactual-impact-evaluation-in-education-research