bate: Computes Bias-Adjusted Treatment Effect
Compute bounds for the treatment effect
after adjusting for the presence of omitted variables in linear
econometric models, according to the method of Basu (2022) <doi:10.48550/arXiv.2203.12431>.
You supply the data, identify the outcome and
treatment variables and additional regressors. The main functions
will compute bounds for the bias-adjusted treatment effect. Many
plot functions allow easy visualization of results.
| Version: |
0.1.0 |
| Imports: |
ggplot2, concaveman, dplyr, stats, magrittr, tidyselect, purrr, latex2exp, vtable |
| Suggests: |
rmarkdown, knitr |
| Published: |
2022-03-28 |
| DOI: |
10.32614/CRAN.package.bate |
| Author: |
Deepankar Basu [aut, cre],
Evan Wasner [aut] |
| Maintainer: |
Deepankar Basu <dbasu at umass.edu> |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/dbasu-umass/bate/,
https://rpubs.com/dbasu/bate/ |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
bate results |
Documentation:
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