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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.GN2023
Local Eviction Moratoria and the Spread of COVID-19
Julia Hatamyar, Christopher F. Parmeter
At various stages during the initial onset of the COVID-19 pandemic, various US states and local municipalities enacted eviction moratoria. One of the main aims of these moratoria…
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…