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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ECN 6198 FIELD STUDY COMPULSORY 3 0 0 18

Offered By

Economics (English)

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSISTANT PROFESSOR MEHMET ALDONAT BEYZATLAR

Offered to

Economics (English)

Course Objective

The objective of the course is to provide advanced econometric tools to evaluate economic measures. Emphasis is on the advanced economic modeling, estimation techniques, and interpretation of empirical findings. The use of computer and econometric software is an integrated part of the course. Students are expected to prepare a term project to demonstrate their skills developed in the course.

Learning Outcomes of the Course Unit

1   The learner will use necessary statistical and econometric tools to engage independent research and make it ready for submission to the academic journals. 2   The learner will clearly recognize the problems with linear and nonlinear econometric models. 3   The learner will build econometric models for estimation purposes. 4   The learner will interpret empirical results. 5   The learner will draw some policy implications from estimation results.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Topics will be determined by student and his/her supervisor. 2 Topics will be determined by student and his/her supervisor. 3 Topics will be determined by student and his/her supervisor. 4 Topics will be determined by student and his/her supervisor. 5 Topics will be determined by student and his/her supervisor. 6 Topics will be determined by student and his/her supervisor. 7 Topics will be determined by student and his/her supervisor. 8 Topics will be determined by student and his/her supervisor. 9 Topics will be determined by student and his/her supervisor. 10 Topics will be determined by student and his/her supervisor. 11 Topics will be determined by student and his/her supervisor. 12 Topics will be determined by student and his/her supervisor. 13 Topics will be determined by student and his/her supervisor. 14 Topics will be determined by student and his/her supervisor. 15 Topics will be determined by student and his/her supervisor.

Recomended or Required Reading

1. William H. Greene, Econometric Analysis, 7th or 8th Ed., Pearson. 2. Lecture Notes.

Planned Learning Activities and Teaching Methods

Will be announced.

Assessment Methods

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

Further Notes About Assessment Methods

None

Assessment Criteria

Will be announced.

Language of Instruction

English

Course Policies and Rules

Will be announced.

Contact Details for the Lecturer(s)

E-mail address of your thesis supervisor.

Office Hours

Make an appointment with your thesis supervisor for the interview.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Case study 14 2 28 Preparations before/after weekly lectures 14 2 28 Project Assignment 1 20 20 TOTAL WORKLOAD (hours) 76

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 5 LO.2 4 5 LO.3 5 4 LO.4 4 4 LO.5 5 4