tjbal-package: Trajectory Balancing

tjbal-packageR Documentation

Trajectory Balancing

Description

Implements mean balancing and kernel balancing with time-series cross-sectional data.

Details

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.

Author(s)

Chad Hazlett <chazlett@ucla.edu>, UCLA

Yiqing Xu (Maintainer) <yiqingxu@stanford.edu>, Stanford

References

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.


xuyiqing/tjbal documentation built on Aug. 10, 2024, 1:02 p.m.