tjbal-package: Trajectory Balancing
In xuyiqing/tjbal: Trajectory Balancing
tjbal-package R 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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| tjbal-package | R 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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.