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pro vyhledávání: '"Hatamyar, Julia"'
This study introduces a data-driven, machine learning-based method to detect suitable control variables and instruments for assessing the causal effect of a treatment on an outcome in observational data, if they exist. Our approach tests the joint ex
Externí odkaz:
http://arxiv.org/abs/2407.04448
We combine two recently proposed nonparametric difference-in-differences methods, extending them to enable the examination of treatment effect heterogeneity in the staggered adoption setting using machine learning. The proposed method, machine learni
Externí odkaz:
http://arxiv.org/abs/2310.11962
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 was to slow the spread of COVID-19 infections. We deploy a semiparamet
Externí odkaz:
http://arxiv.org/abs/2307.00251
Autor:
Hatamyar, Julia, Kreif, Noemi
Machine learning (ML) estimates of conditional average treatment effects (CATE) can guide policy decisions, either by allowing targeting of individuals with beneficial CATE estimates, or as inputs to decision trees that optimise overall outcomes. The
Externí odkaz:
http://arxiv.org/abs/2302.05260
Autor:
Hatamyar, Julia
This paper studies the effects of legislation mandating the provision of workplace breastfeeding amenities on the labor force participation of women in the United States. Using both the American Community Survey and the Panel Study of Income Dynamics
Externí odkaz:
http://arxiv.org/abs/2209.05916
Akademický článek
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Akademický článek
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Autor:
Hatamyar, Julia
This paper studies the effects of legislation mandating workplace breastfeeding amenities on various labor market outcomes. Using the Panel Study of Income Dynamics, I implement both a traditional fixed-effects event study framework and the Interacti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a415c8d173bf50b3abe51ae8204cdd34
http://arxiv.org/abs/2209.05916
http://arxiv.org/abs/2209.05916