COURSE UNIT TITLE

: SEMINAR IN INDUSTRIAL ORGANIZATION

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ECN 6050 SEMINAR IN INDUSTRIAL ORGANIZATION ELECTIVE 3 0 0 9

Offered By

Economics (English)

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR EVRIM TURGUTLU

Offered to

Economics (English)

Course Objective

This course covers research methods in applied empirical industrial organization. The primary focus will be on the use of econometric analysis and data both for descriptive and measurement purposes, and to test the predictions of economic theories. Papers that demonstrate the various methods will be discussed in detail with an emphasis on data, sources of identification, and estimation techniques. Main topics to be covered include the following: Estimating equilibria in homogeneous and heterogeneous product markets; details and applications of demand estimation; production and cost functions; empirical models of price discrimination and of vertical contracting and integration; empirical two-period models, empirical single-agent and multiple-agent dynamic models.

Learning Outcomes of the Course Unit

1   Interpret latest developments in the industrial economics literature.
2   Be able to use mathematical methods to formalize empirical concepts and ideas in industrial economics.
3   Demonstrate engaging an independent empirical research in order to prepare a term project.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Equilibria in homogeneous product markets
2 Equilibria in heterogeneous product markets
3 Demand estimation
4 Demand estimation
5 Applications of cost and production functions
6 Models of price discrimination
7 Models of price discrimination
8 Models of vertical contracting and integration
9 Empirical two-period models
10 Empirical single-agent models
11 Empirical multiple-agent dynamic models
12 Applications in asymmetric information
13 Applications in asymmetric information
14 Digital transformation and IO
15 Digital transformation and IO

Recomended or Required Reading

1. Articles
2. Lecture Notes

Planned Learning Activities and Teaching Methods

1. Lectures
2. Class Discussions
3. Project and its presentation

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


Further Notes About Assessment Methods

None

Assessment Criteria

1. Midterm and final exams will be based on problems, case studies and proofs related to the theoretical discussions in the lectures.
2. Semester term work will be based on a selected topic in industrial organization. The student is expected to prepare a term paper with academic standards related to a topic in industrial organization .

Language of Instruction

English

Course Policies and Rules

t is obligatory to attend at least 70% of the classes.

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 14 3 42
Preparation for midterm exam 1 35 35
Preparation for final exam 1 45 45
Preparations before/after weekly lectures 14 5 70
Preparing report 1 40 40
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 236

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.14555
LO.2344
LO.3355

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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