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PROGRAMME
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Monday, 13 May Sala Lauree, Palazzina della Presidenza, 2nd floor
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10.00
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
10.30-12.15
The
engines of inequality
Maurizio Franzini, Sapienza University of Rome
12.15-14.00
Innovation
and employment: an economic analysis
Marco Vivarelli, Catholic University of Milan
15.00-16.45
Wage
inequality and education
Michele
Raitano, Sapienza University of Rome
16.45-18.30
Incomes,
wages and inequalities: STATA class on individual data analysis
Francesco
Bloise, Roma Tre University, University of Urbino
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Tuesday, 14 May, Aula
Onida, 3rd floor
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9.00-11.00
Multinational
firms and the localization of production and R&D
Antonello Zanfei, University of
Urbin
11.15-13.00
Global
Value Chains: participation, positioning and performance: a firm
level analysis
Anna
Giunta, Roma Tre University
14.15-16.00
The
Schumpeterian dynamics: creative response
Cristiano
Antonelli, University of Turin
16.00-18.00
Firms
and workers: STATA class on micro-data
Teresa
Barbieri, INAPP, Rome
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Wednesday, 15 May, Aula
Onida, 3rd floor
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9.00-10.30
Offshoring,
technology and jobs
Rinaldo
Evangelista, University of Camerino
10.30-12.00
Digitalisation,
innovation and skills in Italian firms
Dario
Guarascio, INAPP Rome
12.15-13.45
Responsible
innovation: health, safety, environment protection
Alessandro
Sterlacchini, Marche Polytechnic University
15.00-16.45
Industry
4.0 and its consequences
Valeria
Cirillo, INAPP Rome, Maria Enrica Virgillito, Catholic
University of Milan
16.45-18.45
Innovation
and economic performance: STATA class on sectoral data
analysis
Jelena
Reljic, Sapienza University of Rome
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Thursday, 16 May, Aula
Onida, 3rd floor
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9.00-10.30
Wage
regimes and macroeconomic policy in Europe
Massimiliano
Tancioni, Sapienza University of Rome
10.30-12.00
Structural
change and the wage share in Europe: an agent-based
macroeconomic approach
Lucrezia Fanti,
INAPP Rome
12.15-14.00
The
learning economy and modes of innovation
Bengt-Aake
Lundvall, Aalborg University, Denmark
15.15-17.00
Schumpeter
meeting Keynes
Giovanni Dosi,
Scuola Superiore Sant’Anna, Pisa
17.15-19.00
MatLab
class on macroeconomic data analysis
Paolo
D’Imperio, Sapienza University of Rome
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Friday, 17 May, Sala Lauree, Palazzina della Presidenza, 2nd floor
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9.00-10.30
Technology,
structural change and ‘virtuous circles’ of growth
Mario
Pianta, Scuola Normale Superiore, Florence
10.30-12.00
Technology,
wages and profits in European industries
Andrea Coveri, University of Urbino
12.15-13.45
New
frontiers in polical economy
Roberto
Scazzieri, University of Bologna
15.00-16.30
Evolutionary
approaches to the economics of innovation
Luigi
Marengo, LUISS University of Rome
16.30-18.30
Innovation
and environmental sustainability
Francesco
Crespi, Roma Tre University, Giovanni Marin, University of
Urbino
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Registration.
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 http://www.econ.uniurb.it/corsoavanzato2019/index.htm)
and a short CV should be sent to
innovation-course@uniurb.it, 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.
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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
http://www.econ.uniurb.it/corsoavanzato2019/index.htm
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