Naghi, \AndreaA.\, O'Neill, E. and \Danielova Zaharieva\, M. (2024). The benefits of forecasting inflation with machine learning: New evidence Journal of Applied Econometrics, 39(7):1321--1331.
Eoghan O'Neill
University
Erasmus University Rotterdam
E-mail
Research field
Econometrics
Interests
Applied Econometrics, Bayesian Econometrics, Econometric Methodology, Econometrics, Microeconometrics
Website
Biography
Eoghan O'Neill is an Assistant Professor of Data Science and Machine Learning at the Econometric Institute, Erasmus University Rotterdam. He obtained a PhD in Economics and an MPhil in Economic Research from the University of Cambridge. His research interests include machine learning, econometrics, and energy economics.
Key publications
List of publications
Naghi, \AndreaA.\, O'Neill, E. and \Danielova Zaharieva\, M. (2024). The benefits of forecasting inflation with machine learning: New evidence Journal of Applied Econometrics, 39(7):1321--1331.
Hao, P., Guo, J.P., O\textquoterightNeill, E. and Shi, Y.H. (2023). When Will First-Price Work Well? The Impact of Anti-Corruption Rules on Photovoltaic Power Generation Procurement Auctions Sustainability, 15(4):.
Zhou, W., Moncaster, A., O'Neill, E., Reiner, \DavidM.\, Wang, X. and Guthrie, P. (2022). Modelling future trends of annual embodied energy of urban residential building stock in China Energy Policy, 165:.