SIdE Summer Schools

San Giobbe Economics Campus, Cannaregio 873, Venice

The Italian Econometric Association (SIdE) in collaboration with the Venice centre in Economic and Risk Analytics for Public Policies (VERA) organizes two Summer Schools on:

Network Econometrics 
July 1st - 5th, 2024

The aim of the course is to provide participants with models and tools from graph theory to analyse various effects of social, economic, and political interaction. The school hosted leading scholars developing relevant network modelling and inference research and their applications to various fields. It is organised by the Department of Economics in collaboration with the Venice Center for Risk Analytics for Public Policies (VERA), the Ca’ Foscari International College and the Italian Econometrics Association (SIdE). The school and the participants from the Italian Advanced Schools are financially supported by the Ca’ Foscari International College under the aegis of ASSI (Alliance of the Italian Advanced Schools).

Coordinator

Roberto Casarin

Roberto Casarin (coordinator), Full Professor of Econometrics, Department of Economics, Ca' Foscari University of Venice

Lecturers

Emanuele Aliverti

Emanuele Aliverti, Assistant Professor, Department of Statistics, University of Padova

Angela Andreella

Angela Andreella, Assistant Professor, Department of Economics, Ca' Foscari University of Venice

Monica Billio

Monica Billio, Full Professor of Econometrics, Department of Economics, Ca' Foscari University of Venice

Mariangela Guidolin

Mariangela Guidolin, Associate Professor, Department of Statistical Sciences, University of Padua

Matteo Iacopini

Matteo Iacopini, Lecturer in Statistics, School of Mathematical Sciences, Queen Mary University of London

Luca Rossini

Luca Rossini, Assistant Professor in Statistics, Department of Economics, Management and Quantitative Methods, University of Milan (Statale)

Veronica Vinciotti

Veronica Vinciotti, Associate professor, Department of Mathematics, University of Trento

in collaboration with

Advanced Bayesian Econometrics: Bayesian Multivariate Models and Forecasting in Economics and Finance 
August 26th - 30th, 2024

The course is advanced and covers state-of-the-art techniques and recent developments in Bayesian Multivariate Models, for structural analysis and forecasting, nonparametric methods and forecast combinations with a broad range of applications in economics and finance.

Gaetano Carmeci (coordinator), Associate Professor of Econometrics, Department of Economics, Business, Mathematics and Statistics, University of Trieste

Lecturers

Roberto Casarin

Roberto Casarin, Full Professor of Econometrics, Department of Economics, Ca' Foscari University of Venice

Matteo Ciccarelli

Matteo Ciccarelli, DG Economics, Head of Forecasting and Policy Modelling Division, European Central Bank

Marta Bańbura

Marta Bańbura, Senior Lead Economist, Forecasting and Policy Modeling, European Central Bank

Francesco Ravazzolo

Francesco Ravazzolo, Full Professor of Econometrics, Department of Economics, University of Bozen and BI Norwegian Business School, Norway

in collaboration with

Last update: 20/11/2024