Projects per year
Personal profile
Academic Background
Martin Bruns is a research scholar and associate professor of economics at the University of East Anglia’s School of Economics. His research specialises in econometrics and macroeconomics, with a particular focus on multiple time series analysis and Bayesian inference, applied to key policy-relevant areas such as the global oil market, monetary policy, and fiscal policy.
Martin has made original and significant contributions in econometrics and applied macroeconomics, publishing widely in leading journals such as the Journal of Econometrics, Quantitative Economics, and the Econometrics Journal. His academic work is highly cited in top-tier economics and econometrics journals and plays an important role in shaping policy discussions.
His research has had a solid international impact, influencing institutions such as the Federal Reserve Banks of Dallas and Richmond, the European Commission, the European Central Bank, the International Monetary Fund, and the central banks of Belize and Egypt. Through rigorous econometric analysis and policy-relevant insights, Martin continues to advance the field, producing influential scholarship that informs both academic discourse and global economic policy. He is currently working on new methods to improve the forecasting and structural analysis toolkit for both academics and policy makers.
He organises a yearly workshop on time series econometrics which serves as a forum to bring together prominent academics and central bankers to discuss recent methodological advances and empirical findings relevant for policy making.
Personal Website
https://sites.google.com/view/martin-bruns/home
Collaborations and top research areas from the last five years
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International Association for Applied Econometics (IAAE) conference sponsorship
International Association for Applied Econometrics
1/04/25 → 30/06/25
Project: Research
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Avoiding unintentionally correlated shocks in proxy vector autoregressive analysis
Bruns, M., Lütkepohl, H. & McNeil, J., 17 Apr 2025, (E-pub ahead of print) In: Journal of Business & Economic Statistics.Research output: Contribution to journal › Article › peer-review
Open Access -
Heteroskedastic proxy vector autoregressions: An identification-robust test for time-varying impulse responses in the presence of multiple proxies
Bruns, M. & Lütkepohl, H., Apr 2024, In: Journal of Economic Dynamics and Control. 161, 104837.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)7 Downloads (Pure) -
Testing for strong exogeneity in Proxy-VARs
Bruns, M. & Keweloh, S. A., Oct 2024, In: Journal of Econometrics. 245, 1-2, 105876.Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Downloads (Pure) -
Tractable Bayesian estimation of smooth transition vector autoregressive models
Bruns, M. & Piffer, M., Sept 2024, In: The Econometrics Journal. 27, 3, p. 343–361 19 p.Research output: Contribution to journal › Article › peer-review
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An alternative bootstrap for proxy vector autoregressions
Bruns, M. & Luetkepohl, H., Dec 2023, In: Computational Economics. 62, 4, p. 1857-1882 26 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)12 Downloads (Pure)