Regression modelQuasi-experimental / causal inference
Counterfactual Impact Evaluation (CIE)
Counterfactual Impact Evaluation is a family of causal methods that estimates the effect of an intervention by comparing what actually happened to participants with what would have happened had the intervention not taken place. Formalised in the Rubin Causal Model and extended by Heckman, Imbens and others, CIE underlies most modern program and policy evaluation practice.
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Sources
- Heckman, J. J., & Vytlacil, E. J. (2007). Econometric evaluation of social programs, Part I: Causal models, structural models and econometric policy evaluation. Handbook of Econometrics, 6B, 4779-4874. DOI: 10.1016/S1573-4412(07)06070-9 ↗
- Imbens, G. W., & Wooldridge, J. M. (2009). Recent developments in the econometrics of program evaluation. Journal of Economic Literature, 47(1), 5-86. DOI: 10.1257/jel.47.1.5 ↗
Related methods
Referenced by
Bayesian Counterfactual Impact EvaluationDynamic Counterfactual Impact EvaluationDynamic Synthetic Control MethodHeterogeneous treatment effect Counterfactual impact evaluationMachine Learning-Augmented Counterfactual Impact EvaluationMulti-period Counterfactual Impact EvaluationPolicy Evaluation Counterfactual Impact EvaluationPolicy Evaluation Marginal Structural ModelRobust Counterfactual Impact Evaluation