The Italian Econometric Society (SIdE) in collaboration with the Venice centre in Economic and Risk Analytics for Public Policies (VERA) Ca’ Foscari University of Venice organizes the course for PhD students in: 

Networks Econometrics

Due to the on-going Covid-19 emergecy the course is POSTPONED to 2021



Roberto Casarin
Dept. of Economics
University Ca' Foscari of Venice
San Giobbe 873/b
30121 Venezia, Italy
Phone: +39 



Monica Billio,  Ca' Foscari University of Venice
Roberto Casarin,  Ca' Foscari University of Venice
Matteo Iacopini, Scuola Normale Superiore, Pisa
Sergio Petralia, London School of Economics and Political Science
Luca Rossini, Vrije Universiteit Amsterdam, The Netherlands

Walter Quattrociocchi Ca' Foscari University of Venice



Intermediate knowledge of statistical inference and econometrics



The aim of the course is to provide the fundamentals of the econometrics network with particular reference to the Network mapping and visualisation, the Network Extraction Methods,  Multi-layer Network Models and their applications to finance. The tutorials will develop applications to stocks, interest rates and commodities markets and to contagion analysis. Modelling of financial and commercial trade networks will be considered as well.

Course outline

1. Graph Theoretic Foundation of Networks

    1.1 Definitions
    1.2 Graph Connectivity
    1.3 Multilayer-networks

    Tutorial 1: Data scraping, Interactive geo mapping with R
    Tutorial 2: Network mapping and visualisation with R
    Tutorial 3: Text mining and Networks with R

2. Network Extraction Methods

    2.1 Graphical Models
    2.3 Parametric sparse regression models
    2.4 Nonparametric sparse regression models

    Tutorial 4: Extraction of Financial Networks in Matlab
    Tutorial 5: Network visualization with Gephi

3. Temporal Network Models

     3.1 Tensor decomposition
     3.1 Dynamic Tensor Models
     3.2 Markov-switching Tensor Models

     Tutorial 6: Appliction to COMTRADE and Financial Networks in Matlab

4. Multi-layer Network Models

    4.1 Definition and analysis
    4.2 Exctraction

   Tutorial 7: Application to Oil Linkages Networks in Matlab

5. Stochastic-Block Models

     5.1 Definition and inference
     5.2 Application to Financial Networks



Theoretical lectures are associated with working sessions; during them you will receive the suggestions needed to use an econometric software and to run your own empirical analysis.

Data-sets and programming files to make applied  econometrics will be provided during the lectures.

For the practical tutorials and applications participants will use the softwares R, Matlab and Gephi, which will have to be installed on their own laptops.


Reference textbooks and suggested readings:

Introductory references

Jackson, M.O. (2008) Social and Economic Networks, Priceton University Press.

Diebold, F. and Yilmaz, K. (2015), Financial and Macroeconomic Connectedness: A Network Approach to Measurement and Monitoring, Oxford University Press.

Bollobas, B. (1998), Modern Graph Theory, Springer.


Further references

Jensen, F. (1996), An Introduction to Bayesian Networks, Springer-Verlag

Lauritzen, S. (1996). Graphical Models, Oxford University Press

Pearl, J. (1998). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.

Whittaker, H. (1990). Graphical Models in Applied Multivariate Statistics, John Wiley.


Venue and timetables

The Course requires full-time attendance, and participation is not compatible with other jobs at the same time (e.g. preparation of other exams). Lectures and tutorials will be in English, with the following schedule (provisional):

  • Monday to Friday: lectures: 9.00-13.00, 15.00-18.00.

The course will be held in the Campus Economico San Giobbe at Università Ca’ Foscari, Venezia, Italy. Address: Dipartimento di Scienze Economiche - S. Giobbe, 873 - 30121 Venezia.
Participants will be hosted in the Ca' Foscari Residence in Santa Marta (as an exception, in case of reduced availability of rooms they will be accommodated in local hotels).


Fees and Enrollment

  • Students, new graduated students, PhD students and temporary university staff: 690€
  • University staff: 800€ 
  • Others: 2300€

Fee includes: accommodation (usually in double room with breakfast and lunch starting from Sunday evening).

Participants who wish to attend two or three Courses, are allowed the following reduced fees per Course

  •  Students, new graduated students, PhD students and temporary university staff: 590€ per Course
  •  University staff: 700€ per Course
  •  Others: 2000€ per Course

Fees for  Master and PhD students from Ca' Foscari University of Venice: 30€ 

Fee for students from Ca' Foscari University of Venice does not include accommodation.

Master and PhD students from Ca' Foscari University of Venicewho wish to attend two or three Courses are allowed the following reduced fees per Course:
 - Two Courses in Venice and one or more Courses in Bertinoro: 30€ per Course in Venice + 590€ per Course in Bertinoro


Important dates:

Application Deadline: April 18th, 2020

Deadline for Fee Payment is May 16th 2020