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20212026
most citedLocal Average and Marginal Treatment Effects with a Misclassified Treatment

2 citations · 2 across the 5 of their papers we have counts for

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5 papers

econ.EM2026

Difference-in-Differences Models in the Presence of Time-Varying Mediators and Lagged outcomes

Kyunghoon Ban, Zhengrun Chen, Désiré Kédagni

We study difference-in-differences (DiD) designs in which a binary treatment changes an endogenous time-varying (continuous, discrete, or mixed) mediator that in turn affects an ou…

econ.EM2024

and : Stata commands for robust difference-in-differences

Kyunghoon Ban, Désiré Kédagni

This article provides a Stata package for the implementation of the robust difference-in-differences (RDID) method developed in Ban and Kédagni (2023). It contains three main comma…

econ.EM2022

Robust Difference-in-differences Models

Kyunghoon Ban, Désiré Kédagni

The difference-in-differences (DID) method identifies the average treatment effects on the treated (ATT) under mainly the so-called parallel trends (PT) assumption. The most common…

econ.EM2021

Nonparametric Bounds on Treatment Effects with Imperfect Instruments

Kyunghoon Ban, Désiré Kédagni

This paper extends the identification results in Nevo and Rosen (2012) to nonparametric models. We derive nonparametric bounds on the average treatment effect when an imperfect ins…

econ.EM2021★ 2 cited

Local Average and Marginal Treatment Effects with a Misclassified Treatment

Kyunghoon Ban, Désiré Kédagni, Santiago Acerenza

This paper studies identification of the local average and marginal treatment effects (LATE and MTE) with a misclassified binary treatment variable. We derive bounds on the (genera…