csabounds: 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>.

Getting started

Package details

AuthorBrantly Callaway [aut, cre]
MaintainerBrantly Callaway <brantly.callaway@temple.edu>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the csabounds package in your browser

Any scripts or data that you put into this service are public.

csabounds documentation built on May 1, 2019, 8:47 p.m.