Details about Eoghan Patrick O'Neill

Access statistics for papers by Eoghan Patrick O'Neill.

Last updated 2025-11-12. Update your information in the RePEc Author Service.

Short-id: pox8

Working Papers

2025

1. Type 2 Tobit Sample Selection Models with Bayesian Additive Regression Trees
   Papers, arXiv.org

2024

2. Type I Tobit Bayesian Additive Regression Trees for Censored Outcome Regression
   Papers, arXiv.org

2022

3. Modelling future trends of annual embodied energy of urban residential building stock in China
   Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge View citations (4)
   See also Journal Article Modelling future trends of annual embodied energy of urban residential building stock in China, Energy Policy, Elsevier (2022) (2022)

2019

4. Applying Bayesian Model Averaging to Characterise Urban Residential Stock Turnover Dynamics
   Working Papers, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge
5. Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes
   Papers, arXiv.org View citations (2)
   Also in Working Papers, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge (2019) View citations (2)
   Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge (2018) View citations (12)

Journal Articles

2024

1. The benefits of forecasting inflation with machine learning: New evidence
   Journal of Applied Econometrics, 2024, 39, (7), 1321-1331 View citations (3)

2022

2. Modelling future trends of annual embodied energy of urban residential building stock in China
   Energy Policy, 2022, 165, (C)
   See also Working Paper Modelling future trends of annual embodied energy of urban residential building stock in China, Cambridge Working Papers in Economics (2022) View citations (4) (2022)

2021

3. The scale effect in China's power grid sector from the perspective of malmquist total factor productivity analysis
   Utilities Policy, 2021, 69, (C) View citations (3)

2020

4. Forecasting urban residential stock turnover dynamics using system dynamics and Bayesian model averaging
   Applied Energy, 2020, 275, (C) View citations (7)
5. The effectiveness of the unbundling reform in China’s power system from a dynamic efficiency perspective
   Applied Energy, 2020, 264, (C) View citations (10)