Department of  Economics,Society and Politics

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 Fuà”, 
"Marche Polytechnic University" 

with the support of the Centro Linceo Interdisciplinare ‘Beniamino Segre

Advanced Course 2019 
14th Edition 

Innovation, Growth and International Production.
Models and Data Analysis

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

13-17 May, 2019 


Registration Form



Monday, 13  May Sala Lauree, Palazzina della Presidenza, 2nd floor

Presentation of the course
Maurizio Franzini, Sapienza University of Rome
Massimiliano Tancioni, Ph.D. School in Economics, Sapienza University of Rome
Antonello Zanfei, 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 
Francesco Bloise, Roma Tre University, University of Urbino

Tuesday, 14 May, Aula Onida, 3rd floor

Multinational firms and the localization of production and R&D
Antonello Zanfei, University of Urbin

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
Teresa Barbieri, INAPP, Rome

Wednesday, 15 May, Aula Onida, 3rd floor 

Offshoring, technology and jobs

Rinaldo Evangelista, University of Camerino

Digitalisation, innovation and skills in Italian firms 
Dario Guarascio, INAPP Rome

Responsible innovation: health, safety, environment protection
Alessandro Sterlacchini, Marche Polytechnic University

Industry 4.0 and its consequences
Valeria Cirillo, INAPP Rome, Maria Enrica Virgillito, Catholic University of Milan 

Innovation and economic performance: STATA class on sectoral data analysis 
Jelena Reljic, Sapienza University of Rome

Thursday, 16 May, Aula Onida, 3rd floor 

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

The learning economy and modes of innovation
Bengt-Aake Lundvall, Aalborg University, Denmark

Schumpeter meeting Keynes
Giovanni Dosi, Scuola Superiore Sant’Anna, Pisa

MatLab class on macroeconomic data analysis 
Paolo D’Imperio, Sapienza University of Rome

Friday, 17 May, Sala Lauree, Palazzina della Presidenza, 2nd floor 

Technology, structural change and ‘virtuous circles’ of growth
Mario Pianta, Scuola Normale Superiore, Florence

Technology, wages and profits in European industries
Andrea Coveri, University of Urbino

New frontiers in polical economy
Roberto Scazzieri, University of Bologna

Evolutionary approaches to the economics of innovation
Luigi Marengo, LUISS University of Rome

Innovation and environmental sustainability
Francesco Crespi, Roma Tre University, Giovanni Marin, University of Urbino

The 14th editon of the Advanced Course is organised by the University of Urbino Carlo Bo, Department of Economics, Society and Politics, the PhD School of Economics of Sapienza University of Rome and the Scuola Normale Superiore, Dipartimento di scienze politco-sociali, Firenze, in collaboration with the PhD Programme in Economics and Quantitative Methods of Roma Tre University and the PhD School of Economics Giorgio Fuà of the Polytechnic University of Ancona. The Course is oriented to PhD students, post-docs and young scholars. Application forms (downloadable on the website and a short CV should be sent to, by 30 April 2019. For participants who are not PhD 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. Accomodations and meals costs will be covered by participants; support for finding appropriate accomodation will be provided. All teaching will be carried out in English. 

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. In STATA classes lecturers will present different databases and will make available data samples on which participants will carry out an econometric exercise 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 PhD School. All Course material will be available on the website


For more information and enrolments, please contact: