11 citations · 23 across the 7 of their papers we have counts for
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econ.EM2025
Fast Learning of Optimal Policy Trees
James Cussens, Julia Hatamyar, Vishalie Shah +1
We develop and implement a version of the popular "policytree" method (Athey and Wager, 2021) using discrete optimisation techniques. We test the performance of our algorithm in fi…
econ.EM2023
Machine Learning for Staggered Difference-in-Differences and Dynamic Treatment Effect Heterogeneity
Julia Hatamyar, Noemi Kreif, Rudi Rocha +1
We combine two recently proposed nonparametric difference-in-differences methods, extending them to enable the examination of treatment effect heterogeneity in the staggered adopti…
econ.EM2023★ 1 cited
Policy Learning with Rare Outcomes
Julia Hatamyar, Noemi Kreif
Machine learning (ML) estimates of conditional average treatment effects (CATE) can guide policy decisions, either by allowing targeting of individuals with beneficial CATE estimat…