Regression modelQuasi-experimental / causal inference
Dynamic Counterfactual Impact Evaluation
Dynamic Counterfactual Impact Evaluation (dynamic CIE) extends standard counterfactual program evaluation to settings where treatment is assigned sequentially across multiple periods. Rather than comparing a single treated versus untreated state, it estimates the causal effect of entire treatment trajectories or regimes, accounting for how intermediate outcomes and time-varying covariates feed back into subsequent treatment decisions.
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Sources
- Robins, J. M. (1986). A new approach to causal inference in mortality studies with a sustained exposure period — application to control of the healthy worker survivor effect. Mathematical Modelling, 7(9-12), 1393-1512. DOI: 10.1016/0270-0255(86)90088-6 ↗
- Lechner, M. (2009). Sequential causal models for the evaluation of labor market programs. Journal of Business and Economic Statistics, 27(1), 71-83. DOI: 10.1198/jbes.2009.0006 ↗