方法证据记录
Dynamic Entropy Balancing
Dynamic Entropy Balancing extends the entropy balancing reweighting approach to settings with time-varying treatments in panel or longitudinal data. It constructs unit weights at each time period such that the covariate distributions of treated and comparison units are balanced on specified moments, adjusting sequentially for prior treatment history and time-varying confounders to estimate the causal effect of treatment sequences on outcomes.
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 Entropy Balancing for Longitudinal Causal Inference
分类方法记录 · regression-model / causal-inference
- Hainmueller, J. (2012). Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies. Political Analysis, 20(1), 25-46. · DOI 10.1093/pan/mpr025
- Blackwell, M., & Glynn, A. N. (2018). How to Make Causal Inferences with Time-Series Cross-Sectional Data under Selection on Observables. American Political Science Review, 112(4), 1067-1082. · DOI 10.1017/S0003055418000357
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