Package: didintrjl 0.2.6

didintrjl: Intersection Difference-in-Differences

A wrapper for the Julia package 'DiDInt.jl' <https://ebjamieson97.github.io/DiDInt.jl/stable/> which implements intersection difference-in-differences (DID-INT), a method developed by Karim & Webb (2025) <doi:10.48550/arXiv.2412.14447>. Allows for unbiased estimation of the average effect of treatment on the treated (ATT) in cases when the common causal covariates assumption is violated. Also computes p-values for the ATT via the randomization inference procedure described in MacKinnon and Webb (2020) <doi:10.1016/j.jeconom.2020.04.024>.

Authors:Eric Jamieson [aut, cre, cph]