معرفی
Markku Lanne is Professor of Economics at the University of Helsinki's Faculty of Social Sciences, where he has served since August 2010. He also holds the position of Vice-Dean for Academic Affairs of the Faculty of Social Sciences and leads the Financial and Macroeconometrics research group. His academic journey includes previous appointments as Professor of Empirical Macroeconomics at the University of Helsinki (2007-2010) and Professor of Economics and Finance at the University of Jyväskylä (2003-2007). He maintains adjunct professorships (docent) in econometrics at the University of Helsinki (since 2001) and in financial econometrics at Aalto University (since 2008).
Professor Lanne's research focuses on advanced time series econometrics with applications in macroeconomics and finance. His work centers on structural vector autoregression models, non-Gaussian time series analysis, identification methods, and macroeconomic forecasting. His research has significant implications for understanding economic shocks, inflation dynamics, and the relationship between financial markets and the real economy. He has developed innovative approaches to identifying structural economic relationships using non-Gaussian features of economic data.
Lanne's publication record shows a clear progression toward increasingly sophisticated methods for analyzing non-Gaussian economic time series. His recent work (2022-2024) demonstrates a strong focus on statistical identification of structural relationships using non-Gaussian features, particularly in the context of vector autoregressive models. This research has important applications for understanding macroeconomic shocks, weather impacts on economies, and improving economic forecasting methods.
His scientific recognition includes:
- Alfred Kordelin Foundation encouragement prize (2011)
- Good Teaching Award (2014)
Professor Lanne actively supervises doctoral students and serves as a pre-examiner for doctoral theses. He has secured significant research funding, most notably a major Academy of Finland project on structural analysis of non-Gaussian macroeconomic and financial time series (2022-2026). He regularly contributes to the academic community through peer review for top journals including Journal of Econometrics, Journal of Business and Economic Statistics, and Review of Economics and Statistics.
He leads the Financial and Macroeconometrics research group at the University of Helsinki, which focuses on developing and applying advanced econometric methods to macroeconomic and financial problems. The group maintains active collaborations with researchers internationally and contributes to both theoretical advances in econometrics and practical applications in economic policy analysis.
