2 citations · 2 across the 3 of their papers we have counts for
3 papers
econ.EM2024
Enabling Decision-Making with the Modified Causal Forest: Policy Trees for Treatment Assignment
Hugo Bodory, Federica Mascolo, Michael Lechner
Decision-making plays a pivotal role in shaping outcomes in various disciplines, such as medicine, economics, and business. This paper provides guidance to practitioners on how to…
econ.EM2022
The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates
Hugo Bodory, Martin Huber, Michael Lechner
This paper investigates the finite sample performance of a range of parametric, semi-parametric, and non-parametric instrumental variable estimators when controlling for a fixed se…
econ.EM2020★ 2 cited
Evaluating (weighted) dynamic treatment effects by double machine learning
Hugo Bodory, Martin Huber, Lukáš Lafférs
We consider evaluating the causal effects of dynamic treatments, i.e. of multiple treatment sequences in various periods, based on double machine learning to control for observed,…