The PhD program integrates the typical competencies in economics and business with mathematical, statistical and econometric tools, to offer a training program that will enable students to carry out high-quality research, as well as work in consultancy and business.
The PhD program consists of three complementary curricula :
A) Economics and Institutions (E&I)
This curriculum aims at providing advanced theoretical knowledge in economic disciplines, focusing on the role of institutional factors is shaping development and growth dynamics, labour and product markets, firms behaviour and performance. In particular, the following topics will be covered:
- Growth and development (institutions and economic change, comparative economic systems, social/political instability and development, theory and empirics of growth, inequality)
- Labour Economics (theory and empirics of imperfect markets, macroeconomic shocks and policy responses)
- Corporate governance and firm organization (theories of the firm, economics of transaction costs)
- International economics (Firms in international trade)
- Energy and Environmental Economics
The theoretical analysis of these topics will be supported by a rigorous application of qualitative and quantitative methods of analysis.
B) Economics and Business (E&B)
This curriculum is designed to provide students with advanced education in statistics and quantitive methods for the study of socio-economic and financial phenomena. First-year courses focus on statistical inference, statistical models for multivariate and for longitudinal data, graphical models, survey sampling design and analysis, small area estimation, optimization tools, financial mathematics, computational statistics. The program and the Mathematics and Statistics faculty have several, well established, scientific connections with universities and research centers in many countries of the world: this enhances research opportunities and the connection with cutting-edge and relevant topics.
Research topics include graphical and latent variable models; official statistics and analysis of data from complex survey designs; small area estimation; causal inference; financial econometrics, time series analysis and volatility modeling; measures of risk and sustainable finance. The application of quantitative methods to socio-economic, financial, health and official data is of central importance and a core aspect of the curriculum. This will enable our Doctors to apply for positions in universities and public research institutions, as well as in the public administration and in industries where advanced data analysis skills are increasingly required.
The call for applications and all information related to this PhD program are available at: https://www.unipg.it/en/courses/phd-program. For more information, please contact Prof. Gianna Figà Talamanca (firstname.lastname@example.org)