1 citations · 1 across the 1 of their papers we have counts for
4 papers
Learning control variables and instruments for causal analysis in observational data
Nicolas Apfel, Julia Hatamyar, Martin Huber +1
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…
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…
Exploring the heterogeneous impacts of Indonesia's conditional cash transfer scheme (PKH) on maternal health care utilisation using instrumental causal forests
Vishalie Shah, Julia Hatamyar, Taufik Hidayat +1
This paper uses instrumental causal forests, a novel machine learning method, to explore the treatment effect heterogeneity of Indonesia's conditional cash transfer scheme on mater…
Workplace Breastfeeding Legislation and Female Labor Force Participation in the United States
Julia Hatamyar
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 bot…