PHD

Economics

Program Description

The coursework is structured in 6 main courses: 
  • Mathematics for Social Sciences
  • Statistics and Econometrics
  • Microeconomics
  • Macroeconomics
  • History of Economic Thought and Economic History
  • Advanced Courses

Each course is organized in modules, with compulsory attendance and final exams.

Some modules are assigned to external experts, while Internal Faculty is heavily involved in modules reflecting the areas of expertise of the Institute of Economics at Sant'Anna and associated partners (IUSS-Pavia, UCA-Nice, IMT-Lucca, Strasbourg).

Here the list of modules currently scheduled for the academic year 2021/22 (Ciclo XXXVII), and are essentially replicated every year with small adjustments:

  • Mathematics for Social Sciences:
    - Advanced Mathematics (20 hours)
    - Static and Dynamic Optimization (20 hrs)
    - Markov processes (15 hrs)
  • Econometrics:
    - Econometrics (30 hrs)
    - Time Series (20 hrs)
    - Microeconometrics (20 hrs)
  • Microeconomics:
    - Consumption and Production (15 hrs)
    - Partial/General Equilibrium and Market Failures (15 hrs)
    - Information and Uncertainty (10 hrs)
    - Game Theory (20 hrs)
    - Industrial Organization (15 hrs)
  • Macroeconomics:
    - Business cycle theories (15 hrs)
    - Growth Theories (15 hrs)
    - Representative agent macroeconomics (15 hrs)
    - Advanced Growth: theories and facts (15 hrs)
  • History of Economic Thought and Economic History:
    - Introduction to Economic History (20 hrs)
    - History of Economic Analysis (15 hrs)
  • Advanced Courses @Sant'Anna-Pisa:
    - Intro to Agent-based Computational Economics (10 hrs)
    - Agent-based Macroeconomics (25 hrs)
    - Causality in Macroeconometrics (12 hrs)
    - Financial Economics (20 hrs)
    - Economics of Innovation (30 hrs)
    - Evolutionary foundations of innovation and industrial dynamics (20 hrs)
    - Firm-Industry Dynamics (25 hrs)
    - Advanced general equilibrium (6 hrs)
    - Non-Parametric Statistics (12 hrs)
    - Statistical Methods for Large, Complex Data (12 hrs)
  • Advanced courses @UCA-Nice:
    - Advanced industrial dynamics and innovation (40 hrs)
    - International trade (15 hrs)
    - Technology-gap trade (6 hrs)
    - Labour & Technology (15 hrs)
    - Topics in Monetary Economics (20 hrs)
    - Organization Theory (10 hrs)
    - Intro to Experimental Economics (20 hrs)
    - Advanced econometrics I - Causal inference (10 hrs)
    - Advanced econometrics II - Advanced panel methods (10 hrs)
    - Complexity in Economics (10 hrs)
    - Economic and Financial Networks (15 hrs)
    - Inequality and income distribution (10 hrs)
    - Classical development theories (10 hrs)
    - Topics in institutions and economic policy (10 hrs)

Additional modules may be activate during the year.

Starting from the academic year 2017/18, part of the advanced and field courses are held at Universitè de Cote d'Azur, Nice, France, where students are hosted for about two months at the beginning of their second year. Modules taught in Nice encompass: Advanced industrial dynamics and innovation, International trade, Labour & Technology, Introduction to Experimental Economics, Complexity in Economics, Topics in Monetary Economics,  Economic and financial networks, Advanced econometrics, Inequality and income distribution, Classical development, Topics in institutions and economic policy.

Currently, the coordinators and contact persons for the courses are: Prof. Giulio Bottazzi (Math), Prof. Federico Tamagni (Statistics and Econometrics), Prof. Giorgio Fagiolo (Micro), Prof. Andrea Roventini (Macro), Prof. Alessandro Nuvolari (History and Hystory of Economic Thought), Prof. Federico Tamagni and Mauro Napoletano (Advanced and Field).