Program Description

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:

  1. Growth and development (institutions and economic change, comparative economic systems, social/political instability and development, theory and empirics of growth, inequality)
  2. Labour Economics (theory and empirics of imperfect markets, macroeconomic shocks and policy responses)
  3. Corporate governance and firm organization (theories of the firm, economics of transaction costs)
  4. International economics (Firms in international trade)
  5. 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 aims at providing in-depth knowledge of the different governance models, management and administration of companies (including managerial and family firms, as well as state-owned and no-profit organizations). In particular, the curriculum will focus on decision-making and organizational processes, aimed at understanding the basic conditions underlying firms’ competitiveness. Attention will be devoted to the themes of strategy, including the managerial aspects of firms’ internationalization and innovation processes. Finally, this curriculum will analyse the impact of regulatory changes on the development of internal expertise and methodologies of administrative and accounting control, to support the ability of various business organizations to face international competition.


C) Quantitative Methods for Economics (QME)

The curriculum provides a strong preparation in Statistics and Quantitive Methods for the study of socio-economic and financial phenomena. The courses focus on statistical inference, statistical models for multivariate and for longitudinal data, survey sampling, optimization tools, financial mathematics, computational statistics.

The Mathematics and Statistics group of the Department of Economics of the University of Perugia is very active. Research topics include:

  • Multivariate, graphical and latent variable models;
  • Survey sampling and Small Area Estimation;
  • Volatility modelling and financial econometrics;
  • Causal inference.

The call for applications and all information related to this PhD program are available at: The next deadline for applications is scheduled in mid-July 2018. For more information, please contact Prof. Cristiano Perugini (