Paul Labonne
Economist @ Bank of England
labonnepaul@gmail.com · paullabonne.github.io · Github
Experience
- Bank of England, 2025 –
Senior Economist
- Imperial College London, Department of Computing,
2025
Research Associate
- BI Norwegian Business School, Department of
Economics, 2021 – 2024
Postdoc
- Office for National Statistics, 2017 – 2021
Researcher (secondee from ESCoE)
- King’s College London, 2018 – 2020
Teaching Assistant
- NIESR, 2017
Research intern
- European Investment Bank, Economics Department,
2017
Graduate intern
Education
- King’s College London, 2022
PhD Economics (ESCoE scholarship)
- University of Warwick, 2016
MSc Economics
- Paris School of Economics, 2015
MA Economics
- University Paris 1 Panthéon-Sorbonne, 2014
BSc Econometrics
Software
Author
Contributor
- LiNGAM, discovery of
non-Gaussian linear causal models
Languages
French (native), English (fluent).
Academic annex
Publications
- Risky news and credit market sentiment
with Leif Anders Thorsrud
Journal of Economic Dynamics and Control, 2026
- BayesMultiMode: Bayesian mode inference in R
with Nalan Basturk, Jamie Cross, Peter de Knijff, Lennart Hoogerheide
and Herman K. van Dijk
Journal of Statistical Software, accepted
- Asymmetric uncertainty: nowcasting using skewness in real-time
data
International Journal of Forecasting, 2025
- Bayesian mode inference for discrete distributions in economics
and finance
with Jamie Cross, Lennart Hoogerheide and Herman K. van Dijk
Economics Letters, 2024
- Temporal disaggregation of overlapping noisy quarterly data:
estimation of monthly output from UK value-added tax data
with Martin Weale
Journal of the Royal Statistical Society (Series A),
2020
- The financial foundations of the productivity puzzle
with Jagjit S. Chadha and Amit Kara
National Institute Economic Review, 2017
Working papers
- Learning from forecast errors: the Bank’s enhanced approach to
forecast evaluation
with Raphael Abiry, James Hurley, David Latto, Harry Li, Andre Moreira,
Joseph Oyegoke and Sumer Singh
Bank of England Macro Technical Paper No. 6, 2026
- Flexible Negative Binomial Mixtures for Credible Mode Inference
in Heterogeneous Count Data from Finance, Economics and
Bioinformatics
with Jamie Cross, Lennart Hoogerheide and Herman K. van Dijk
R&R Journal of Econometrics
Peer-review activity
International Journal of Forecasting, Oxford Bulletin of
Economics and Statistics.