tjbal-package | R Documentation |
Implements mean balancing and kernel balancing with time-series cross-sectional data.
Provides a general reweighting approach to causal inference with time-series cross-sectional (TSCS) data. It includes two estimators, mean balancing and kernel balancing. The former reweights control units such that the averages of the pre-treatment outcomes and covariates are approximately equal between the treatment and (reweighted) control groups. The latter relaxes the linearity assumption and seeks approximate balance on a kernel-based feature expansion of the pre-treatment outcomes and covariates.
See tjbal
for details.
Chad Hazlett <chazlett@ucla.edu>, UCLA
Yiqing Xu (Maintainer) <yiqingxu@stanford.edu>, Stanford
Hazlett, Chad and Yiqing Xu, 2020. “Trajectory Balancing: A General Reweighting Approach to Causal Inference with Time-Series Cross-Sectional Data.” Working Paper, UCLA and Stanford.
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