17 citations · 18 across the 4 of their papers we have counts for
4 papers
Type 2 Tobit Sample Selection Models with Bayesian Additive Regression Trees
Eoghan O'Neill
This paper introduces Type 2 Tobit Bayesian Additive Regression Trees (TOBART-2). BART can produce accurate individual-specific treatment effect estimates. However, in practice est…
Static and Dynamic BART for Rank-Order Data
Matteo Iacopini, Eoghan O'Neill, Luca Rossini
Ranking lists are often provided at regular time intervals in a range of applications, including economics, sports, marketing, and politics. Most popular methods for rank-order dat…
Type I Tobit Bayesian Additive Regression Trees for Censored Outcome Regression
Eoghan O'Neill
Censoring occurs when an outcome is unobserved beyond some threshold value. Methods that do not account for censoring produce biased predictions of the unobserved outcome. This pap…
Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes
Eoghan O'Neill, Melvyn Weeks
We examine the household-specific effects of the introduction of Time-of-Use (TOU) electricity pricing schemes. Using a causal forest (Athey and Imbens, 2016; Wager and Athey, 2018…