Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SOCIAL SCIENCES / İKT-606 - ECONOMICS (PhD)

Code: İKT-606 Course Title: TIME SERIES ANALYSIS II Theoretical+Practice: 1+2 ECTS: 6
Year/Semester of Study 1 / Spring Semester
Level of Course 1st Cycle Degree Programme
Type of Course Optional
Department ECONOMICS (PhD)
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer EBRU TOPCU (ebruerdogan@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
This course is an introduction to the economic analysis of time series. Although the student are supposed to have knowledge of basic econometrics course is designed to be as far as possible a whole in itself. Thiscourse is intended application. Students will regularly use what they have learned with real data, and the term will conduct a research project on a topic of his choice.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 can describe time series. PO-4 have theoretical and empirical information to analyze how to authorities, consumers and firms effect each other’s and how to make decision.
PO-8 have ability on working with quantitative data about economics and using the tools about statistically data analysis.
PO-10 have ability on modeling the economic theories mathematically.
Examination
LO-2 can use time series techniques in economic applications. PO-8 have ability on working with quantitative data about economics and using the tools about statistically data analysis.
PO-10 have ability on modeling the economic theories mathematically.
PO-12 can know the stages that need to apply in a research and do research.
Examination
LO-3 can conduct econometric reserches PO-8 have ability on working with quantitative data about economics and using the tools about statistically data analysis.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
This course covers the theory about the economic analysis of time series, and introduces students to the numerous applications of this model. Course, about evenly divided between theory and applications, but applications are given priority assignments and exams. After a brief review of the necessary statistical and econometricbasics of difference equations and lag operators are discussed. Stationary ARMA modelswith ARCH, GARCH, and VAR techniques are covered in detail. Students the nnon-stationary time series, analysis of unitroots, and ARIMA models are introduced. Course co-integration (including stability) and ends with discussions on forecastingwith time series.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Statistical concepts and basic econometrics Explanation
2 Difference equations and lag operators Explanation
3 Basics of time series econometrics Explanation
4 Some issues in linear regression Explanation
5 ARMA Models 1 Explanation
6 ARMA Models 2 Explanation
7 ARMA Models 3 Explanation
8 mid-term exam
9 Non-stationary time series, unit roots, and ARIMA models Explanation
10 Heteroscedasticity modeling with Autoregressive conditional: ARCH and GARCH Explanation
11 Stationary vector models: VAR 1 Explanation
12 Stationary vector models: VAR 2 Explanation
13 Cointegration Explanation
14 Time- Series Forecasting Explanation
15 Time- Series Forecasting Explanation
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Damador N. Gujurati- Dawn Porter, Temel Ekonometri, 2014
Required Course instruments and materials
Kitaplar ve programlar

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 1 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 1 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 6 10 60
       b) Search in internet/Library 3 11 33
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 3 5 15
mid-term exam 1 1 1
Own study for final exam 4 5 20
final exam 1 1 1
0
0
Total work load; 172