معرفی
Alessio Volpicella is an Associate Professor of Economics at the University of Pavia’s Department of Economics and Management, with a prior role as Senior Lecturer at the University of Surrey. He holds a PhD in Economics from Queen Mary University of London (2020) and degrees from Bocconi University (BSc, MSc) and University College London (MRes). His research focuses on macroeconometrics, time series analysis, Bayesian econometrics, and structural vector autoregressions (SVARs). He has held visiting roles at institutions including the Bank of England and the European Central Bank.
Education highlights include:
- PhD in Economics, Queen Mary University of London (2015-2020)
- MRes in Economics, University College London (2014-2015)
- MSc and BSc in Economics, Bocconi University (2010-2012)
Research interests encompass:
- SVARs identification and validation
- DSGE models and imperfect information
- Macroprudential policy and financial regulation
- Climate resilience and macroeconomic dynamics
Key awards include the Best Paper Award (1st Time Series Workshop, 2023), Royal Economic Society Grants (2022, 2019), and multiple fellowships. He has supervised PhD students at the University of Surrey and University of Pavia, with notable placements in academia and central banking.
Teaching spans undergraduate and graduate courses in econometrics, macroeconometrics, and Bayesian methods. He has held roles such as Module Leader at the University of Surrey and University of Pavia, with consistently high student satisfaction ratings.
Professional activities include refereeing for top journals (e.g., Journal of Econometrics, Quantitative Economics), invited seminars globally, and organizing workshops for PhD students. He is a Fellow of the Advance Higher Education and a member of the Surrey Institute for People-Centred AI.
