Department of  Economics,Society and Politics

Classe di scienze politico-sociale, Florence

Sapienza University of Rome 
Department of Law and Economics 



in collaboration with  


Doctoral School of Economics and Quantitative Methods 
Roma Tre University 

Doctoral School of Economics “Giorgio Fuŕ”, 
"Marche Polytechnic University" 

Advanced Course 2020 
15th Edition 

Innovation, Growth and International Production.
Models and Data Analysis

Faculty of Economics, Sapienza University of Rome 
Via del Castro Laurenziano 9, Roma 

11-15 May, 2020 


Registration Form 



Venue: Sala Lauree, Palazzina della Presidenza, 2nd floor (Monday-Wednesday)
Aula Onida, Main building, 2nd floor (Thursday and Friday)
Monday, 11 May, Sala Lauree
Giovanni Di Bartolomeo, Dean of the Department of Economics and Law - Sapienza University of Rome
Presentation of the course
Maurizio Franzini, Sapienza University of Rome
Massimiliano Tancioni, Ph.D. School of Economics, Sapienza University of Rome
Giuseppe Travaglini, Director of the School of Economics, University of Urbino
The engines of inequality
Maurizio Franzini, Sapienza University of Rome
Innovation and employment: an economic analysis
Marco Vivarelli, Catholic University of Milan
Wage inequality and education
Michele Raitano, Sapienza University of Rome
Incomes, wages and inequalities: STATA class on individual data analysis
Michele Bavaro, Roma Tre University
Tuesday, 12 May, Sala Lauree
Multinational firms and the localization of production and R&D
Antonello Zanfei, University of Urbino
Global Value Chains: participation, positioning and performance: a firm level analysis
Anna Giunta, Roma Tre University
The Schumpeterian dynamics: creative response
Cristiano Antonelli, University of Turin
Firms and workers: STATA class on micro-data

Wednesday, 13 May, Sala Lauree
‘Virtuous circles’ economics
Mario Pianta, Scuola Normale Superiore, Florence
Offshoring, technology and jobs
Rinaldo Evangelista, University of Camerino
Digitalisation, innovation and skills in Italian firms
Dario Guarascio, INAPP Rome
Technology, wages and profits in European industries
Andrea Coveri, University of Urbino
Innovation and economic performance: STATA class on sectoral data analysis
Andrea Coveri, University of Urbino

Thursday, 14 May, Aula Onida
Wage regimes and macroeconomic policy in Europe
Massimiliano Tancioni, Sapienza University of Rome
Structural change and the wage share in Europe: an agent-based macroeconomic approach
Lucrezia Fanti, INAPP Rome
Evolutionary approaches to the economics of innovation
Luigi Marengo, LUISS University of Rome
Schumpeter meeting Keynes
Giovanni Dosi, Scuola Superiore Sant’Anna, Pisa
MatLab class on macroeconomic data analysis
Paolo D’Imperio, Sapienza University of Rome

Friday, 15 May, Aula Onida
Innovation and environmental sustainability
Francesco Crespi, Roma Tre University
Elena Paglialunga, University of Urbino
Sources and determinants of responsible innovations
Alessandro Sterlacchini, Marche Polytechnic University
New frontiers in political economy
Roberto Scazzieri, University of Bologna
European economic integration: Economic structures and political economy
Michael Landesmann, WIIW Vienna
Industry 4.0: Firms, Work and Labour
Valeria Cirillo, University of Bari
Maria Enrica Virgillito, Catholic University of Milan

All teaching will be carried out in English

The Course is oriented to Ph.D. students, post-docs and young scholars. For participants who are not Ph.D. students of the universities that organize the course, a fee of 250 euros is expected for the coverage of organizational costs and teaching materials. The fee should be paid before the course begins with the procedures that will be communicated directly to the participants with the notification of acceptance. Applications are possible by 15 April 2020; please follow the instructions on the website Accomodations and meals costs will be covered by participants; support for finding appropriate accomodation will be provided by local organizers if needed.

STATA classes. Participants are asked to bring their own laptop computer. A basic knowledge of STATA is
assumed (data exploration, basic commands, variable generation and manipulation, multivariate regressions).
Some introductive materials to STATA software will be indicated before the start of the Course. Participants
are encouraged to request student short-term Stata license at this link
before the Course starts. In STATA classes, lecturers will present different
databases and will make available data samples on which participants will carry out econometric exercises and
interpret the results, in a similar way to the analyses discussed in the lectures.
Participants attending the Course and classes will obtain a certificate of attendance that could be used for
credits in their own Ph.D. School.
All Course material will be available on the website
For information please contact:

Local organizers: 
Francesca Subioli
Dario Guarascio (