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04/24/2023
Estimating Heterogeneous Causal Effects under Bipartite Network Interference: An Application to Air Pollution Regulatory Policy
Marginalized groups are exposed to disproportionately high levels of air...
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02/22/2023
Confounder-Dependent Bayesian Mixture Model: Characterizing Heterogeneity of Causal Effects in Air Pollution Epidemiology
Several epidemiological studies have provided evidence that long-term ex...
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12/12/2020
From controlled to undisciplined data: estimating causal effects in the era of data science using a potential outcome framework
This paper discusses the fundamental principles of causal inference - th...
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09/18/2020
Causal Rule Ensemble: Interpretable Inference of Heterogeneous Treatment Effects
In environmental epidemiology, it is critically important to identify su...
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09/11/2020
Supervised learning for the prediction of firm dynamics
Thanks to the increasing availability of granular, yet high-dimensional,...
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08/03/2020
Heterogeneous Treatment and Spillover Effects under Clustered Network Interference
The bulk of causal inference studies rules out the presence of interfere...
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05/29/2019
Heterogeneous causal effects with imperfect compliance: a novel Bayesian machine learning approach
This paper introduces an innovative Bayesian machine learning algorithm ...
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08/13/2018