Code Course Type Regular Semester Theory Practice Lab Credits ECTS
ECO 802 C 2 3 0 0 3 10
Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature) NA
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours: Uğur Ergün
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours: NA
Teaching Assistant(s) and Office Hours: NA
Language: English
Compulsory/Elective: Compulsory
Classroom and Meeting Time: Every Friday at 09:00 am
Course Description: This course gives students broad knowledge of advanced econometric techniques in the literature. It is designed to cover essential advanced tools for working with real life applications. Software packages such as R, J-Multi and Eviews will be taught in the course.
Course Objectives: The objective of the course is to guide students to use and develop advanced econometric methods to quantify complicated economic relations.
Week Topics
1 Introduction, content, scope of the course
2 Further issues in Multiple regression models
3 Further issues in Gauss-Markov Assumptions
4 Regression with Time Series data
5 Panel data methods
6 IV Estimation and Two stage least squares
7 Simultaneous Equation Models
8 Limited Dependent variable models
9 Project Presentations
10 Advanced Time Series Methods 1
11 Advanced Time Series Methods 2
12 Project Presentations
13 Carying out an Empirical Project
14 Review
Textbook: Marno Verbeek. A Guide to Modern Econometrics. John Wiley -John Chipman. An Introduction to Advanced Econometric Theory. Routledge; New Ed edition (May 26, 2011)
Other References: Wooldridge, J.M. (2015). Introduction to Econometrics. Cengage learning
Laboratory Work: 3 hours in a week
Computer Usage: Eviews
Others: No
1 To learn advanced econometric methods and related theories
2 To apply these methods to real life research problems
3 To be able to describe and interpret the main features of the advanced econometric methods
4 To be able to assess the merits of complicated empirical tests of theories
(Blank : no contribution, 1: least contribution ... 5: highest contribution)
No Program Competencies Cont.
Doctorate (PhD) in Economics: Banking and Finance profile Program
1 The students are gained the ability to look at the problems of daily life from a broader perspective. They gain the needed skills not only to understand economic problems but also to construct a model and defend in meaningful way. 3
2 To comprehend the interaction between economics and related fields; to achieve original results by using expert knowledge in analysis, synthesis and evaluation of new and complex ideas. 5
3 To be able to obtain new knowledge in economics systematically and to acquire high level skills in research methods in economics. 5
4 To be able to develop new methods that make a contribution to science or to be able to apply existing techniques to an original research idea. 5
5 They have ability to use mathematical and statistical methods in international economics. 5
6 They know how to use computer programs in both daily office usage and statistical data evaluations in economics department. 5
7 They have necessary economics skills that needed in private and public sector. 3
8 They are intended to be specialist in one of departmental fields that they choose from the list of general economics, finance economics, public finance, corporate finance, finance management, international finance markets and institutions, banking and central banking, international finance and banking, money and banking, international trade and banking. 3
9 They have ability to utilize fundamental economic theories and tools to solve economic problems in international level. 3
10 They are aware of the fact that international economics is a social science and they respect the social perspectives and social values of the society’s ethics. 3
Method Quantity Percentage
Term Paper
Total Percent: 100%
Activities Quantity Duration(Hours) Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 0
Assignments 2 25 50
Final examination 0
Other 1 88 88
Total Work Load:
Total Work Load/25(h):
ECTS Credit of the Course: