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Course 2019-2020 a.y.

20296 - ADVANCED MICROECONOMICS

Department of Economics

Course taught in English

Go to class group/s: 31

CLMG (6 credits - II sem. - OP  |  SECS-P/01) - M (6 credits - II sem. - OP  |  SECS-P/01) - IM (6 credits - II sem. - OP  |  SECS-P/01) - MM (6 credits - II sem. - OP  |  SECS-P/01) - AFC (6 credits - II sem. - OP  |  SECS-P/01) - CLELI (6 credits - II sem. - OP  |  SECS-P/01) - ACME (6 credits - II sem. - OP  |  SECS-P/01) - DES-ESS (6 credits - II sem. - OP  |  SECS-P/01) - EMIT (6 credits - II sem. - OP  |  SECS-P/01) - GIO (6 credits - II sem. - OP  |  SECS-P/01) - DSBA (6 credits - II sem. - OP  |  SECS-P/01) - PPA (6 credits - II sem. - OP  |  SECS-P/01) - FIN (6 credits - II sem. - OP  |  SECS-P/01)
Course Director:
NICOLA PAVONI

Classes: 31 (II sem.)
Instructors:
Class 31: NICOLA PAVONI


Suggested background knowledge

Students attending the course should be familiar with basic microeconomic concepts and maximisation. In particular, they should be familiar with the basic consumer problem facing a budget constraint and with the fundamentals of unconstrained and constrained maximisation. For students that are not so familiar with these concepts, associated to the course, we provide online videos and material, as well as a couple of in-class introductory lectures that briefly introduce to these concepts. The introductory material and the lectures must be followed before starting the course.


Mission & Content Summary
MISSION

The objective of the course is to provide the basic microeconomic tools to be used in the analysis of problems of resource allocation by economists working in research, in business or in various organisations. The course adopts both a positive and a normative approach. It includes recent advances of the theory and aims at developing the capacity to apply economic concepts to real-world problems.

CONTENT SUMMARY

The course is divided into two main sections. In the first part, General Competitive Analysis is developed both in its positive and normative dimensions. In the second part of the course, the problem of designing efficient allocation mechanisms is studied in a general perspective. Incomplete information and incentives issues are introduced.

  • PART 1: Competitive Equilibrium, Pareto Optimality, and Asset Pricing.
  • Nonlinear Optimization and the Consumer Problem: a Review.
  • Pure Exchange Competitive Equilibrium.
  • First and Second Welfare Theorems.
  • General Equilibrium with Uncertainty.
  • A Primer on Asset Pricing.
  • PART 2: Theory of Contracts and Incentives.
  • Hidden information: screening.
  • Hidden action: moral hazard.
  • Signalling and Competitive Screening.
  • Introduction to Mechanism Design.
  • Optimal income taxation.
  • Applications to financial and labour contracting.
  • Introduction to Dynamic Contracts.

Intended Learning Outcomes (ILO)
KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...

At the end of the course the student will be familiar with the most widely used models of competitive equilibrium, finance and private information together with applications to the labor, the credit and the financial markets, as well as applications to the theory of optimal taxation. 

APPLYING KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
  • Solve for the competitive equilibrium of an economy and for the optimal allocation under various assumption of asymmetric information between agents.
  • Understand the basic of  financial markets and asset pricing.
  • Understand the role of dowen payment and imperfect coverage in insurance markets.  
  • Understand the functioning of financial markets and interpret what happening during the financial crisis using formal microeconomic models. 
  • Interpret and evaluate the current discussion on labor and capital income taxation through the lents of formal models.
  • Interact in a constructive way and think formally. 

Teaching methods
  • Face-to-face lectures
  • Online lectures
  • Exercises (exercises, database, software etc.)
  • Case studies /Incidents (traditional, online)
  • Individual assignments
  • Group assignments
DETAILS

During the course, the students are able to test their knowledge and understanding of the material by mean of a series of problem sets which are solved in class. In order for the teaching assistant to evaluate the problem sets, they must be written with a scientific editor (such as, for example, TeX, LaTeX, Lyx, ScientificWorkplace, Scientifc Word, or World with equation editor) and printed or handed in pdf format.


Assessment methods
  Continuous assessment Partial exams General exam
  • Written individual exam (traditional/online)
  •     x
  • Individual assignment (report, exercise, presentation, project work etc.)
  •     x
    ATTENDING AND NOT ATTENDING STUDENTS

    The form of the exam is exclusively written.


    Teaching materials
    ATTENDING AND NOT ATTENDING STUDENTS
    • Examination is based on topics and exercises presented during the course.
    • Slides and other teaching material are distributed during the course.
    • The teacher provides lecture notes and detailed indications on cherpter and sections from the following textbooks: 
    • P. BOLTON, M. DEWATRIPONT, Contract Theory, MIT press.
    • T. BORGERS, An Introduction to the Theory of Mechanism Design, Oxford University Press.  
    • J.H. COCHRANE, Asset Pricing, Princeton University press.
    • J.J. LAFFONT, D. MARTIMORT, The Theory of Incentives, Princeton University press.
    • I. MACHO-STADLER, J.D. PEREZ-CASTILLO, An Introduction to the Economics of Information: Incentives and Contracts, Oxford University press.
    • A. MAS-COLELL, M. WHINSTON, J.R. GREEN, Microeconomic Theory, Oxford University press.
    • B. SALANIE, The Economics of Contracts, MIT press.
    • J. Y. CAMPBELL, Financial Decisions and Markets. A Course in Asset Pricing, Princeton University Press.
    Last change 12/04/2019 14:25