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Dynamic Counterfactual Impact Evaluation/证据
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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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源记录

引文逐字复制自方法源记录。这些引文不代表任何层级的验证。

Dynamic Counterfactual Impact Evaluation
分类方法记录 · regression-model / causal-inference
  • 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
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Taxonomic bucketCounterfactual Impact Evaluationmachine-suggested · Relational suggestion, not evidence.Same method familyDifference-in-Differencesmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDynamic Difference-in-Differencesmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMarginal Structural Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Event Studymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPropensity Score Weightingmachine-suggested · Relational suggestion, not evidence.

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来源

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