方法证据记录
Dynamic Matching Estimator
The Dynamic Matching Estimator extends standard matching methods to settings where treatment is assigned sequentially over multiple periods. Instead of a single treatment decision, units receive or forgo treatment at each time point, and the estimator identifies causal effects of entire treatment histories by matching on time-varying covariates and past treatment paths, under sequential conditional independence assumptions.
源记录
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Dynamic Matching Estimator for Sequential Treatment Effects
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
- Heckman, J. J., Ichimura, H., & Todd, P. (1998). Matching as an Econometric Evaluation Estimator. Review of Economic Studies, 65(2), 261-294. · DOI 10.1111/1467-937X.00044
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