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
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:

Reference manual: bate.pdf
Vignettes: Bias-Adjusted Treatment Effect

Downloads:

Package source: bate_0.1.0.tar.gz
Windows binaries: r-devel: bate_0.1.0.zip, r-release: bate_0.1.0.zip, r-oldrel: bate_0.1.0.zip
macOS binaries: r-release (arm64): bate_0.1.0.tgz, r-oldrel (arm64): bate_0.1.0.tgz, r-release (x86_64): bate_0.1.0.tgz

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