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Descrizione

  • Tipologia

    Dottorato di ricerca

The Sant'Anna-IUSS Doctoral Program in Economics is a 4-year program designed for highly qualified and motivated students who wish to acquire the research and analytical skills of the international scientific community in economics. It is primarely designed for students seeking jobs in academia, but also to those who wish to acquire the skills of professional academic research to work in government agencies, financial institutions, international agencies, private companies. Past PhD candidates now work as post-doc, reserach fellow or tenure track in well-reputed Italian and international universities (Paris-Sorbonne, Utrecht University, University of York, New School New York, Sciences Po Nice, University of Strasbourg, Cattolica Milano, CNR Florence), international organizations (OECD-Paris, JRC-Seville), and in the private sector (UBS).

The Program is jointly offered by the Institute of Economics of Scuola Superiore Sant'Anna in Pisa and by IUSS-Pavia, in close cooperation with UCA-University of Cote d'Azur (Nice, France). An agreement for exchange of students and faculty is also in place with the University of Strasbourg (France).

Students will attend one year and a half of intensive course work, part of which (2-3 months) is hosted at the UCA, held by an international faculty composed of permanent staff of the Scuola Superiore Sant'Anna, IUSS Pavia and UCA, and a large group of Visiting Scholars. The training covers most traditional domains of economic analysis (micro, macro, growth, econometrics), and also offers the unique opportunity to study and get involved in fields usually neglected in traditional PhD Courses such as evolutionary perspectives on economic change, firm-industry dynamics, economics of innovation, agent-based computational economics, economic networks and complexity, economic history and history of economic thought, and a broad range of quantitative tools for the study of big-data and economic dynamics.

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Opinioni

Materie

  • Mathematics for Social Sciences
  • Advanced Mathematics
  • Econometrics
  • International trade
  • Statistics
  • Microeconometrics
  • General Equilibrium
  • Industrial organization
  • Organization Theory
  • Experimental Economics

Programma

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. Here the list of modules scheduled to be offered in the academic year 2019/20 (Ciclo XXXV):

  • Mathematics for Social Sciences:
    - Advanced Mathematics (20 hours)
    - Static and Dynamic Optimization (20 hrs)
    - Introduction to Stochastic Processes (15 hrs)
  • Statistics and Econometrics:
    - Econometrics I (15 hrs) and Econometrics II (25 hrs)
    - Time Series (25 hrs)
    - Microeconometrics (25 hrs)
  • Microeconomics:
    - Consumption and Production (20 hrs)
    - Partial and General Equilibrium (20 hrs)
    - Games and Decision Theory (20 hrs)
    - Industrial Organization and Market Failures (15 hrs)
  • Macroeconomics:
    - Introduction to business cycles and Macroeconomics (15 hrs)
    - Topics in Macroeconomics: consumption, investment, open macro (15 hrs)
    - Dynamic Macroeconomics (20 hrs)
    - Economic growth (20 hrs)
    - International trade (25 hrs)
  • History of Economic Thought and Economic History:
    - Introduction to Economic History (20 hrs)
    - Models of causality and explanation in Economics (15 hrs)
  • Advanced Courses:
    - Intro to Agent-based Computational Economics (10 hrs)
    - Agent-based Macroeconomics (30 hrs)
    - Topics in Monetary Economics (20 hrs)
    - Firm-industry Dynamics (25 hrs)
    - Intro to Financial Economics (12 hrs)
    - Economics of Innovation (30 hrs)
    - Evolutionary foundations of innovation and industrial dynamics (20 hrs)
    - Advanced industrial dynamics and innovation (30 hrs)
    - Non-Parametric Statistics (12 hrs)
    - Statistical Methods for Large, Complex Data (15 hrs)
    - Advanced econometrics - Causal inference (10 hrs)
    - Advanced econometrics - Advanced panel methods (10 hrs)
    - Trade and Labour dynamics (25 hrs)
    - Intro to Experimental Economics (20 hrs)
    - Organization Theory (10 hrs)
    - Economic and Financial Networks (15 hrs)
    - Complexity in Economics (10 hrs)
    - Topics in institutions and economic policy (10 hrs)

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Economics

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