COURSE INFORMATION Course Title: TIME SERIES IN ECONOMETRICS

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
ECO 402	E	2	3	0	0	3	6

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:
Course Description:	Seminars on Economics: The seminar is devoted to a detailed study of an individual research theme on an assigned theoretical or applied economic problem. Each student prepares a paper during the semester. The student is advised by an instructor in his/her research and is expected to write regular progress reports so that specific problems and aspects of his/her work can be discussed.
Course Objectives:	- to teach applied Time Series methodologies with an emphasis on model building and accurate prediction in order to apply to real life situations. - to provide the ability to bring together and flexibly apply knowledge to characterize, analyses and solve a wide range of social, economic and scientific problems. - to provide students skills required to research in economics and finance with exposure to more advanced econometric practices and models.

COURSE OUTLINE

Week	Topics
2	Basic Regression Analysis with Time Series Data
3	Further Issues in Using OLS with Time series data
4	Serial Correlation
5	Heteroskedasticity
6	Panel Data Methods 1
7	Panel Data Methods 2
8	Midterm Exam
9	Cointegration and Error Correction Models
10	VAR models
11	ARDL
12	Forecasting
13	Presentations
14	Presentations

Prerequisite(s):
Textbook:	Wooldridge J.M.(2015). Introduction to Econometrics. Cengage Learning. Verbeek M. (2015). A Guide to Modern Econometrics. John Wiley & Sons Ltd.
Other References:	Vogelvang B. (2015). Econometrics Theroy and Applications with E-views. Printice Hall.
Laboratory Work:
Computer Usage:	E-views software program
Others:	No

COURSE LEARNING OUTCOMES

1	Understand the nature of time series in econometrics
2	Understand to set up econometric model.
3	Provide ability for testing specification of the model.
4	Apply Time series econometric methods in academic research

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Master of Science in Economics 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 in economics but also to construct a model and defend in meaningful way.	4
2	They have knowledge about the microeconomics.	3
3	They have knowledge about the macroeconomics.	3
4	They have knowledge about the international economics and finance.	3
5	They have ability to use mathematical and statistical methods in economics.	5
6	They know how to use computer programs in both daily office usage and statistical data evaluations in public and private sector.	5
7	They have necessary economics skills that needed in private and public sector.	4
8	They are intended to be specialist in one of departmental fields that they choose from the list of general economics, growth and development, labor economics and labor market, environmental economics, agricultural economics, health economics, education economics and human development, political economics, international economics, monetary economics, finance economics, public finance, international financial markets and institutions, banking and central banking, international trade and banking, monetary economics and banking,	4
9	They have ability to utilize fundamental economic theories and tools to solve economic problems in economics.	4
10	They are aware of the fact that economics is a social science and they respect the social perspectives and social values of the society’s ethics.	5

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Term Paper	1	100
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	4	64
Hours for off-the-classroom study (Pre-study, practice)	16	3	48
Mid-terms			0
Assignments	1	10	10
Final examination			0
Other	1	28	28
Total Work Load:			150
Total Work Load/25(h):			6
ECTS Credit of the Course:			6