方法证据记录
Dynamic Propensity Score Matching
Dynamic Propensity Score Matching (DPSM) extends classic propensity score matching to settings where treatment is assigned repeatedly over time and earlier treatment choices influence later ones. It estimates the causal effect of entire treatment sequences or regime changes by constructing matched comparisons at each decision point using the full history of covariates and prior treatments.
源记录
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Dynamic Propensity Score Matching for Sequential Treatments
分类方法记录 · regression-model / causal-inference
- Lechner, M., & Miquel, R. (2010). Identification of the effects of dynamic treatments by sequential conditional independence assumptions. Empirical Economics, 39(1), 111-137. · DOI 10.1007/s00181-009-0297-3
- 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
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