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 <[email protected]>
Package repositoryView on CRAN
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csabounds documentation built on Sept. 7, 2017, 1:02 a.m.