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PROGRAMME
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Monday, 21 May
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10.00
Presentation
of the course
Maurizio Franzini,
Sapienza University of Rome
Giorgio Calcagnini, Deputy Rector, University of Urbino
Alberto Quadrio
Curzio, President, Accademia Nazionale dei Lincei
10.30-12.15
Technology,
growth, inequality
Mario Pianta, Roma Tre University
12.30-14.00
Structural
economic dynamics: methods and topics
Michael Landesmann, WIIW and University of Linz
15.00-16.30
Innovation
and employment in firms
Marco Vivarelli, Catholic University of Milan
16.45-18.45
Innovation and the quality of
employment: STATA class on sectoral data analysisValeria Cirillo, Andrea Coveri, INAPP and Marche Polytechnic University
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Tuesday, 22 May
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9.00-11.00
Modelling
virtuous circles in industries and firms
Dario
Guarascio, INAPP Rome
11.15-13.00
Multinational
firms and the localization of production and R&D
Antonello Zanfei, University of Urbino
14.15-16.00
Firms'
Internationalization and Global Value Chains: A European
Firm-Level Analysis
Anna Giunta, Roma
Tre University
16.00-18.00
Global Value Chains and firms' performance:
STATA class on micro-data
Mariarosaria Agostino, Francesco Trivieri, University of Calabria
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Wednesday, 23 May
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9.00-10.30
Labour
market regulation and innovation
Giuseppe
Travaglini, University of Urbino
10.30-12.00
Structural
dynamics and evolutionary change
Roberto Scazzieri,
University of Bologna
12.15-13.45
The
Schumpeterian dynamics: creative response
Cristiano Antonelli, University of Turin
15.00-18.00
Roundtable on the
Digital Economy
Digitalisation, automation, the platform economy and big data have major
consequences on the economy, on work, on society. What is their
impact? Which policies and regulations could be developed?
Chair: Riccardo
Staglianò, La Repubblica
Maurizio Franzini,
Dario Guarascio, Sapienza University of Rome and INAPP
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Matteo Rinaldini, INAPP and University of Modena and Reggio
Emilia
Valerio De
Stefano, KU Leuven
Michele Faioli,
Tor Vergata University Rome
Luigi Marengo,
LUISS University Rome
Giulio Perani, Istat, Rome
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Thursday, 24 May
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9.00-10.30
Offshoring,
technology and jobs
Rinaldo Evangelista, University of Camerino
10.30-12.00
IPRs,
incentives and innovation
Alessandra Rossi, University of Siena
12.15-13.45
The
evaluation of R&D policies
Alessandro
Sterlacchini, Marche Polytechnic University
15.00-16.30
Evolutionary
approaches to the economics of innovation
Luigi Marengo, LUISS University of Rome
16.30-18.30
Schumpeter
meeting Keynes
Giovanni Dosi, Scuola Superiore Sant’Anna, Pisa
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Friday, 25 May
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9.00-11.00
Innovation
and environmental sustainability
Francesco Crespi,
Roma Tre University, Giovanni Marin, University of Urbino
11.00-13.00
The
engines of inequality
Maurizio Franzini,
Sapienza University of Rome
14.15-15.45
Education
and inequalities
Michele Raitano, Sapienza University of Rome
15.45-17.15
Structural
policies and their macroeconomic impact
Massimiliano
Tancioni, Sapienza University of Rome
17.30-19.00
Income,
education and inequalities: STATA class on individual data
analysis
Francesco Bloise, Sapienza University of Rome
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Registration.
The
13th editon of the Advanced Course is organised by the University of
Urbino Carlo Bo, Department of Economics, Society and Politics and by
the Phd School of Economics of Sapienza University of Rome, 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/corsoavanzato2018/index.htm)
and a short CV should be sent to
Alba Angelucci, innovation-course@uniurb.it,
by 30 April 2018. 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/corsoavanzato2018/index.htm
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