MODELS FOR ECONOMICS AND FINANCE

ID : 
26760
Course type : 
Dottorato
Accademic year : 
2019/2020
Positions : 
7
Grant numbers : 
6
Number of scholarships financed by institutions : 
0
Number of scholarships financed by consortiums : 
0

The Ph.D. program in Models for Economics and Finance aims to provide a solid methodological background in the fields of economics, statistics, econometrics, geography, mathematical finance, oriented to the analysis of relevant economic and social issues. This Ph.D. program differs from others in economics and in statistics as it offers analytical sophisticated tools as well as skills for empirical application. It participates in the Doctoral School of Economics. Curriculum in MATHEMATICS FOR ECONOMIC-FINANCIAL APPLICATIONS: it trains students in quantitative techniques and mathematical modelling of relevant problems arising in economics, finance and actuarial sectors, including risk management. Thanks to the mixture of theoretical and business-specific skills, the program prepares mathematical scientists with knowledge of financial economics for careers in academia, business, and government, enabling them to take research leadership positions. Curriculum in ECONOMIC GEOGRAPHY: the aim is to provide participants with theoretical, methodological and practical skills that are needed to conduct high quality research, both within and beyond the Academia, in the fields of urban and regional planning, local economic development, firms location and geomarketing, and in the statistical and spatial analysis of geographic information. The curriculum promotes researches that are in line with the most recent advances in the disciplines of human geography, spatial statistics, regional economics and urban studies. Curriculum in ECONOMIC STATISTICS: it is solidly based on modern and quantitative methods to analyze relevant economic problems. Emphasis is placed on empirical applications to analysis and solutions of practical problems in the field of applied economic and social sciences. It is designed to form research scientists with robust expertise in applied economics and statistics for careers in academia, business, and government in a leadership position. A solid competence in the field of statistics, econometrics, and applied economic methods is integrated with a focus on empirical applications.

Exam - Oral

Giorno: 13/9/2019 Ora: 09:00 Aula: Marrama, 6th Floor, School of Economics, Sapienza Università di Roma Indirizzo: Via del Castro Laurenziano, 9, MEMOTEF - Sapienza Università di Roma

Tests - Evaluation of qualifications

Giorno: 9/9/2019

Committee

Commissione Scuola di Economia

Membri effettivi

Prof. Brunero Liseo - Sapienza Università di Roma
Prof.ssa Emma Galli - Sapienza Università di Roma
Prof.ssa Marianna Belloc - Sapienza Università di Roma
Prof. Massimiliano Tancioni - Sapienza Università di Roma
Prof.ssa Roberta Gemmiti - Sapienza Università di Roma
Prof.ssa Roberta Sestini - Sapienza Università di Roma
Prof. Rosella Castellano - Universita' Telematica Unitelma Sapienza

Membri supplenti

Prof.ssa Adriana Conti Puorger - Sapienza Università di Roma
Prof. Gabriele Stabile - Sapienza Università di Roma
Prof. Giuseppe Ciccarone - Sapienza Università di Roma
Prof. Guido Pellegrini - Sapienza Università di Roma
Prof. Marco Marini - Sapienza Università di Roma
Prof. Michele Raitano - Sapienza Università di Roma
Prof. Pasquale Marcello Falcone - Universita' Telematica Unitelma Sapienza

Curriculum

a) GEOGRAFIA ECONOMICA
b) MATEMATICA PER LE APPLICAZIONI ECONOMICO FINANZIARIE
c) STATISTICA ECONOMICA

Department
DIPARTIMENTO DI METODI E MODELLI PER L'ECONOMIA, IL TERRITORIO E LA FINANZA
Coordinator

BRUNERO LISEO (brunero.liseo@uniroma1.it)

Ranking

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