Bounds on Distributional Treatment Effect Parameters

The joint distribution of potential outcomes is not typically identified under standard identifying assumptions such as selection on observables or even when individuals are randomly assigned to being treated. This package contains methods for obtaining tight bounds on distributional treatment effect parameters when panel data is available and under a Copula Stability Assumption as in Callaway (2017) < https://ssrn.com/abstract=3028251>.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("csabounds")

1.0.0 by Brantly Callaway, 15 days ago


Browse source code at https://github.com/cran/csabounds


Authors: Brantly Callaway [aut, cre]


Documentation:   PDF Manual  


GPL-2 license


Imports stats, ggplot2, BMisc, pbapply, progress, qte


See at CRAN