MODELS FOR ECONOMICS AND FINANCE
Si prega di rivolgersi a gabriele.jori@uniroma1.it per questioni amministrative relative al Dottorato, o all'ufficio dottorato di ateneo per questioni generali relative alle procedure di ammissione.
The program is designed to provide PhD students the theoretical and methodological tools needed to conduct research of excellence in the disciplinary fields of economic geography, mathematics for economic and financial applications, general and economic statistics. The PhD program offers three curricula: 1) The curriculum in "Economic Geography" enable PhD candidates to conduct research of excellence on the main topics of interest for economic, social and urban geography, using both qualitative and quantitative methodologies, with particular attention to the analysis of spatial data. The topics of interest are regional development; the economic, social and political organization of space; the implications in terms of sociospatial relations and inequalities; urban, regional and territorial policies; the geography of tourism; environmental issues and sustainability. 2) The curriculum in "Mathematics for economic-financial applications" is designed to equip students with the appropriate tools to conduct quantitative research in the fields of economic, financial and actuarial analysis. It explores issues related to quantitative techniques and mathematical modelling. The topics of interest are the methods for financial assets pricing, advanced quantitative methods for the management of financial and insurance risks, game theory and decision theory, quantitative aspects related to finance and behavioral economics. 3) The curriculum "Statistics for the economy" is solidly based on modern and quantitative methods to analyze relevant economic problems. Emphasis is placed on empirical applications to analyze and solve practical problems in the field of economics and the social sciences. It is designed to form research scientists with robust expertise in applied economics and statistics. A solid competence in the field of statistics, econometrics, and applied economic methods is integrated with a focus on empirical applications.
Giorno: 20/9/2022 Ora: 10:00 Aula: Aula Di Fresco, quarto piano, ala amministrazione Dipartimento MEMOTEF Indirizzo: Via del Castro Laurenziano 9, 00161 - Roma
Giorno: 9/9/2022
a) GEOGRAFIA ECONOMICA b) MATEMATICA PER LE APPLICAZIONI ECONOMICO FINANZIARIE c) STATISTICA ECONOMICA
FILIPPO CELATA filippo.celata@uniroma1.it