Vincenzo De Lipsis
پژوهشگر ارشد · Applied time series econometrics
University College Londonمعرفی
Vincenzo De Lipsis serves as an Honorary Senior Research Fellow at University College London's Bartlett School of Environment, Energy and Resources, where he applies advanced econometric methods to critical sustainability challenges. His work bridges economic theory with practical policy applications in energy systems and climate resilience.
Education
- PhD in Economics, Birkbeck College, University of London (2017)
- MSc in Economics, University of Warwick
Research Focus
De Lipsis specializes in time series econometrics and structural break analysis, deploying these techniques to investigate climate change impacts on agriculture, energy demand dynamics, and monetary policy regimes. His research directly informs government policy through models adopted by the UK Department for Business, Energy and Industrial Strategy (BEIS) for national energy projections. Current projects examine global crop yield responses to temperature increases and structural shifts in international commodity markets.
Publication Trends
His recent publications (2020-2025) reveal a concentrated focus on climate-economy interactions, particularly agricultural vulnerability to warming temperatures and industrial energy demand modeling. Key methodological contributions include structural break detection in monetary policy and time preference heterogeneity across income groups. Work appears in high-impact journals like Energy Economics and Nature Food, often with Paolo Agnolucci and Theodoros Arvanitopoulos.
Teaching and Collaboration
De Lipsis co-teaches the MSc module 'Econometrics for Energy and the Environment' at UCL and maintains active collaborations with the UCL Institute for Innovation and Public Purpose. His policy-relevant research has generated significant attention, with one 2020 Nature Food paper covered by 109 news outlets and referenced in Wikipedia. Current projects integrate machine learning techniques with traditional econometrics to improve climate impact forecasting.
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Vincenzo De LipsisUniversity of Southampton · مدرس
Theodoros ArvanitopoulosCardiff University · مدرس- MMichael FellUniversity College London · پژوهشگر ارشد
Elias TzavalisAthens University of Economics and Business · استاد- Benaissa ChidmiTexas Tech University · دانشیار
Serhat AsciCalifornia State University, Fresno · دانشیار