COURSE UNIT TITLE

: ADVANCED MICRO ECONOMICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EKO 6093 ADVANCED MICRO ECONOMICS ELECTIVE 3 0 0 6

Offered By

Econometrics

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR IPEK DEVECI KOCAKOÇ

Offered to

Econometrics

Course Objective

The objective of this course is unterstand and analyze the premises of the basic theories of micro economy with the help of mathematics and game theory approaches and test the specification problems of the decision making units with non-standard methods.

Learning Outcomes of the Course Unit

1   To be able to analyze the dynamics of the creation of individuals and social welfare with the help of instruments produced by economic theories and probability distribution theories.
2   To be able to explain the deterministic and stochastic contents of the economic facts depending on prof rules.
3   To be able to analyze the problems of data definition belonging to the units of micro decision making.
4   To be able to analyze the effects of the expectations on the behaviours of the other decision making units in parallel with the last developments in global scale.
5   To be able to solve the theory of social choice by the approaches of behavioural economy.
6   To be able to make the dynamics of the creation of individual/social welfare by using the approaches of game theory and repeated games.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Specification problems concerning the models of economic an econometric.
2 The Comparative analysis of the goods and factor markets.
3 The Comparative analysis of the goods and factor markets.
4 The Comparative analysis of the goods and factor markets.
5 The Comparative analysis of the goods and factor markets
6 Classic preference theory and non-standard approaches
7 The Approaches of Behavioural Economy
8 Mid-term
9 Social preference theory
10 Game Theory: Nash equilibrium, dominant and mixed strategies
11 Game Theory: Nash equilibrium, dominant and mixed strategies
12 Repeated games
13 The Evaluation of the studies of the midterm
14 The Evaluation of the studies of the midterm

Recomended or Required Reading

Chiang, Alpha (1984), Fundamental Methods of Mathematical Economics, 3rd Ed., McGraw-Hill, New York.
Coelli, Tim (1996), "A Guide to DEAP version 2.1: A Data Envelopment Analysis (Computer) Program", CEPA Working Paper 96/08.
Frank, Robert H. (1994), Microeconomics and Behavior, 2nd Ed., McGraw-Hill, New York.
Freeman, C. & L. Soete (2003), Yenilik Iktisadı, Çev: E. Türcan, TÜBITAK Yayınları, Ankara.
Gibbons, Robert (1997), "An Introduction to Applicable Game Theory", Journal of Economic Perspectives 11 (1), 127-149.
Henderson Quant, Book Of Applied Microeconomics
Nicholson, Walter (1990), Intermediate Microeconomics and its Application, 5th Ed., The Dryden Press, USA.
Pindyck, R. & Rubinfeld, D. (2002), Microeconomics, 6th Ed., Pearson Education International, USA.
Varian, Hal R. (1993), Intermediate Microeconomics: A Modern Approach, 3rd Ed., W.W. Norton and Company, New York.
Henderson, jm and re Quandt: Microeconomic Theory: A Mathematical Approach

Planned Learning Activities and Teaching Methods

This course will be presented using methods of expression, discussion and solving problem.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 3 39
Preparation for midterm exam 1 35 35
Preparation for final exam 1 35 35
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 154

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9
LO.11
LO.21
LO.31
LO.41
LO.51
LO.61

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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