Non-Thesıs Master Program ın Fınancıal Economıcs

Microeconomics(EC 501)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
EC 501 Microeconomics 1 3 0 0 3 6
Prerequisites
Admission Requirements
Language of Instruction Turkish
Course Type Compulsory
Course Level Masters Degree
Course Instructor(s) Bilge ÖZTÜRK GÖKTUNA goktunabilge@gmail.com (Email)
Assistant
Objective This course aims to provide a theoretical background that can be useful for microeconomic analysis of financial markets. First, the course starts with an introduction to strategic decision making and then follows with the analysis of decision making under uncertainty and the role of information in the markets are examined.
Content The course extends the individual decision-making problem studied in undergraduate economics using two dimensions: the behaviour in strategic interactions, then under uncertainty and asymmetric information.
Course Learning Outcomes - Understanding strategic interaction and behaviour
- Analysis of decision making and behaviour under uncertainty
- Understanding the impact of asymmetric information on the market outcomes
Teaching and Learning Methods The course is taught to generally working students through discussion of the behaviour and decision-making mechanisms of microeconomic units, with examples from the business world and social life. Then, students are asked to apply the microeconomic analysis methods they have learned to real-life problems in groups and make presentations.
References Allais, M. (1953). Le comportement de l'homme rationnel devant le risque: critique des postulats et axiomes de l'école Américaine. Econometrica. 21(4): 503-546.
Angrist, J.D. & Pischke, J.F. (2014). Mastering Metrics: The Path from Cause to Effect. Princeton University Press.
Arrow, K.J. (1965). The theory of risk aversion, in Aspects of the Theory of Risk Bearing, by Yrjo Jahnssonin Saatio, Helsinki. Reprinted in: Essays in the Theory of Risk Bearing, 90-109.
Autor, D. (2016) 14.03 Microeconomic Theory and Public Policy. Fall 2016. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.
Banerjee, S. (2014) Intermediate Microeconomics: A Tool-Building Approach. 1st ed. Routledge.
Bernoulli, D. Originally published in 1738; translated by Dr. Louise Sommer. (January 1954). Exposition of a New Theory on the Measurement of Risk. Econometrica. The Econometric Society. 22 (1): 22-36.
Bierman, H.S. & Fernandez, L.F. (1998) Game Theory with Economic Applications, Second Edition, Addison Wesley.
Fudenberg, D. & Tirole, J. (1991). Game Theory, MIT Press.
Kahneman, D. & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica. 47(2): 263-291.
Koçkesen, L. & Ok, E.A. (2007). An Introduction to Game Theory.
Matthew, R. (2000). Risk Aversion and Expected-Utility Theory: A Calibration Theorem. Econometrica. 68 (5): 1281-1292.
von Neumann, J. & Morgenstern, O. (1953) [1944]. Theory of Games and Economic Behavior (Third ed.). Princeton, NJ: Princeton University Press.
Pratt, J.W. (1964). Risk Aversion in the Small and in the Large. Econometrica. 32 (1-2): 122-136.
Shy, O. (1996) Industrial Organization: Theory and Applications, The MIT Press.
Print the course contents
Theory Topics
Week Weekly Contents
1 Introduction to game theory and examples
2 Dominance and rationalizability: examples
3 Nash equilibrium: examples and comparison
4 Uncertainty-Expected utility theory: examples and axioms
5 Insurance demand: equilibrium in the insurance market
6 Insurance market mechanisms
7 Midterm
8 Asymmetric information: adverse selection
9 Asymmetry information: signalling
10 Education: human capital model and signalling model
11 Network externalities
12 Competition and market structures
13 Presentation
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 2 60
Contribution of final exam to overall grade 1 40
Toplam 3 100
In-Term Studies
  Number Contribution
Assignments 0 0
Presentation 1 30
Midterm Examinations (including preparation) 1 30
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 2 60
No Program Learning Outcomes Contribution
1 2 3 4 5
Activities Number Period Total Workload
Class Hours 14 3 42
Working Hours out of Class 14 4 56
Presentation 1 15 15
Midterm Examinations (including preparation) 1 15 15
Final Examinations (including preparation) 1 15 15
Total Workload 143
Total Workload / 25 5.72
Credits ECTS 6
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