Advanced Econometric Analysis II

Course Code:

ECON 611

Semester:

Spring

Course Type:

Core

P:

3

Lab:

0

Credits:

3

ECTS:

10

Course Language:

English

Course Objectives:

Advanced Econometrics II aims at providing advanced econometric skills in the forms of modern time series and panel data. To this end, the students will be encouraged to undertake projects so that they can practice their econometric knowledge with an appropriate econometric software.

Course Content:

Dummy variable models, Logit/Probit models, Unit root testing, different Cointegration techniques, ,Error correction models, ARCH and GARCH modeling, panel econometric techniques, different causality analyses will be taught at an advanced level.

Teaching Methods:

Lecture, Question-Answer, Discussion

Assessment Methods:

Testing, Homework

Vertical Tabs

Course Learning Outcomes

Learning Outcomes	Program Learning Outcomes	Teaching Methods	Assessment Methods
Understand the meaning and importance of Unit root testing procedure.	1,2,3,4,5	1,2,3	A., C
Be able to understand and apply Cointegration techniques.	1,2,3,4,5	1,2,3	A., C
Be able to test and apply Error correction models.	1,2,3,4,5	1,2,3	A., C
Be able to undersand and apply ARCH and GARCH techniques.	1,2,3,4,5	1,2,3	A., C
Be able to understand and apply Pooled and Panel data econometric techniques.	1,2,3,4,5	1,2,3	A., C
Be able to understand and apply causality anaysis.	1,2,3,4,5	1,2,3	A., C

Course Flow

COURSE CONTENT
Week	Topics	Study Materials
1	Stationarity
2	Unit root testing
3	Extensions in unit root testing
4	Cointegration
5	Extensions in cointegration
6	Error correction models
7	Mid-Term
8	Estimation and testing in Error correction models
9	Granger Causality testing
10	ARCH and GARCh models
11	Estimation and testing in ARCH and GARCH models
12	Pooled data econometric estimation
13	Panel data econometric estimation
14	Review

Recommended Sources

RECOMMENDED SOURCES
Textbook		Wooldridge, J. M., Introductory Econometrics, Thomson, South-Western
Additional Resources		Walter Enders, Applied Econometric Time Series, John Wiley & Sons Inc.

Material Sharing

MATERIAL SHARING
Documents		Homeworks
Assignments
Exams

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Mid-terms	1	50
Quizzes (attendance, presentation, etc.)
Assignments
	Total	50
Contribution of Final Examination to Overall Grade	1	50
Contribution of In-Term Studies to Overall Grade	1	50
	Total	100
Course Category

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM
No	Program Learning Outcomes	Contribution
		1	2	3	4	5
1	Formulate and develop a critical and comprehensive understanding of global and national economic problems, and construct and design practical solutions;			x
2	Extract information and concepts from various disciplines in social sciences and integrate them under the rubric of economics;			x
3	Construct testable hypotheses to find original, practical solutions to various social ills and problems;					x
4	Develop an analytical understanding of economic problems, and the ability to evaluate the inherent logic, assumptions and conclusions of alternative approaches;				x
5	Develop the necessary technical skills to evaluate alternative approaches in economics;					x
6	Formulate research projects, plan and conduct research in social sciences in general and in economics in particular;					x
7	Present the results of their research in national and international conferences and in scientific and professional venues;			x
8	Apply the scientific / academic modes of thought and analysis to their professional lives and form a bridge between the analytical and abstract modes of thinking of academia and the practical and dynamic skills of business life;				x

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COUSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Including the Exam Week: 15 x total course hours)	15	3	45
Hours for off-the-classroom study (Pre-study, practice)	15	10	150
Mid-terms	1	10	10
Quizzes (attendance, presentation, etc.)	3	3	9
Assignments	2	7	14
Final Examination	1	10	10
Total Work Load			238
Total Work Load / 25 (s)			9,52
ECTS Credit of the Course			10

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