Course Name Code Semester T+U Hours Credit ECTS
Applied Econometrics IKT 624 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Doctorate Degree
Course Type Optional
Course Coordinator Prof.Dr. AZİZ KUTLAR
Course Lecturers
Course Assistants Research assistants of the department
Course Category
Course Objective In this course, it is aimed to analyze historical economic data.
Course Content Time series, one of the most attractive study fields of econometrics, is aimed to examine. It is examined how time series to be used and applied in interpretation and estimation of series of economic variables. The models and estimations having heteroscedasticity and displaying long run relationship frame the basic subject of this course.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 1) It identifies the economic data,most of which are time series. Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Project Based Learning, Testing, Homework,
2 2) It explains theory of time series. Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Project Based Learning, Testing, Homework,
3 3) It identifies time series. Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Project Based Learning, Testing, Homework,
4 4) It researches the stationarity of time series. Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, Problem Solving, Project Based Learning, Testing, Homework,
5 5) It makes stationarity tests. Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, Problem Solving, Project Based Learning, Testing, Homework,
6 6) It examines the series having heteroscedasticity. Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, Problem Solving, Project Based Learning, Testing, Homework,
7 7) It explains cointegration. Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, Problem Solving, Project Based Learning, Testing, Homework,
8 8) It makes selection of the most appropriate model for times series data. Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, Problem Solving, Project Based Learning, Testing, Homework,
9 9) It makes long run analyzes. Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, Problem Solving, Project Based Learning, Testing, Homework,
10 10) It examines the tests and interpretations of time series models. Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, Problem Solving, Project Based Learning, Testing, Homework,
11 11) It introduces the econometric packaged softwares. Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, Problem Solving, Project Based Learning, Testing, Homework,
12 12) It examines the application of the packaged softwares. Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, Problem Solving, Project Based Learning, Testing, Homework,
13 13) It makes estimation and forecasting. Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
14 14) It makes required policy implications. Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, Problem Solving, Project Based Learning, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Definition of time series KUTLAR,A(2000) Zaman Serileri,Gazi AYy. Ankara, Walter Enders (2004), Applied Econometric Time Series, 2nd ed., John Wiley & Sons, Inc., New Wiley & Sons, Inc., New Jersey
2 Theory of time series KUTLAR,A(2000) Zaman Serileri,Gazi AYy. Ankara, Walter Enders (2004), Applied Econometric Time Series, 2nd ed., John Wiley & Sons, Inc., New Wiley & Sons, Inc., New Jersey
3 Economic time series KUTLAR,A(2000) Zaman Serileri,Gazi AYy. Ankara, Walter Enders (2004), Applied Econometric Time Series, 2nd ed., John Wiley & Sons, Inc., New Wiley & Sons, Inc., New Jersey
4 Economic time series eviews application KUTLAR,A(2000) Zaman Serileri,Gazi AYy. Ankara, Walter Enders (2004), Applied Econometric Time Series, 2nd ed., John Wiley & Sons, Inc., New Wiley & Sons, Inc., New Jersey
5 Series having heteroscedasticity KUTLAR,A(2000) Zaman Serileri,Gazi AYy. Ankara, Walter Enders (2004), Applied Econometric Time Series, 2nd ed., John Wiley & Sons, Inc., New Wiley & Sons, Inc., New Jersey
6 Series having heteroscedasticity eviews application KUTLAR,A(2000) Zaman Serileri,Gazi AYy. Ankara, Walter Enders (2004), Applied Econometric Time Series, 2nd ed., John Wiley & Sons, Inc., New Wiley & Sons, Inc., New Jersey
7 Stationarity tests KUTLAR,A(2000) Zaman Serileri,Gazi AYy. Ankara, Walter Enders (2004), Applied Econometric Time Series, 2nd ed., John Wiley & Sons, Inc., New Wiley & Sons, Inc., New Jersey
8 Stationarity tests eviews application KUTLAR,A(2000) Zaman Serileri,Gazi AYy. Ankara, Walter Enders (2004), Applied Econometric Time Series, 2nd ed., John Wiley & Sons, Inc., New Wiley & Sons, Inc., New Jersey
9 Long run analyzes KUTLAR,A(2000) Zaman Serileri,Gazi AYy. Ankara, Walter Enders (2004), Applied Econometric Time Series, 2nd ed., John Wiley & Sons, Inc., New Wiley & Sons, Inc., New Jersey
10 Long run analyzes eviews application KUTLAR,A(2000) Zaman Serileri,Gazi AYy. Ankara, Walter Enders (2004), Applied Econometric Time Series, 2nd ed., John Wiley & Sons, Inc., New Wiley & Sons, Inc., New Jersey
11 Cointegration KUTLAR,A(2000) Zaman Serileri,Gazi AYy. Ankara, Walter Enders (2004), Applied Econometric Time Series, 2nd ed., John Wiley & Sons, Inc., New Wiley & Sons, Inc., New Jersey
12 Cointegration eviews application KUTLAR,A(2000) Zaman Serileri,Gazi AYy. Ankara, Walter Enders (2004), Applied Econometric Time Series, 2nd ed., John Wiley & Sons, Inc., New Wiley & Sons, Inc., New Jersey
13 Model selection eviews application KUTLAR,A(2000) Zaman Serileri,Gazi AYy. Ankara, Walter Enders (2004), Applied Econometric Time Series, 2nd ed., John Wiley & Sons, Inc., New Wiley & Sons, Inc., New Jersey
14 Final exam KUTLAR,A(2000) Zaman Serileri,Gazi AYy. Ankara, Walter Enders (2004), Applied Econometric Time Series, 2nd ed., John Wiley & Sons, Inc., New Wiley & Sons, Inc., New Jersey
Resources
Course Notes Kutlar, Aziz (2000) Zaman Serileri, Gazi yayın. Ankara
Course Resources Andrew C. Harvey (1992). Forecasting, Structural Time Series Models and the Kalman Filter.
Bruce L. Bowerman, Richard T. OConnel, and Anne B. Koehler (2005). Forecasting, Time
Cambridge, GB : Cambridge University Press.
James D. Hamilton (1994), Time Series Analysis, Princeton University Press, New Jersey.
Juselius, K., The Cointegrated VAR Model, Methodology and Applications. Oxford University
Keith Cuthbertson and Dirk Nitzsche (2004), Quantitative Financial Economics, 2nd ed., John
Michael P. Clements and David F. Hendry (1999). Forecasting non-stationary economic time
Press, 2007
Thomas J. Sargent (1986) , Macroeconomic Theory, 2nd edition, New York: Academic Press.
Thomson/South-Western, 2003.
Walter Enders (2004), Applied Econometric Time Series, 2nd ed., John Wiley & Sons, Inc., New
Wiley & Sons, Inc., New Jersey
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 they constitute an idea in economic subjects analitically and advocacy this idea coherent and critique the ideas constituted by others
2 They have perfect knowledge They have perfect knowledge about general microeconomic theory through numeric and graphical methods
3 They have perfect knowledge about general macroeconomic theory through numeric and graphical methods
4 They know econometricThey have perfect knowledge about international trade theory through numeric
5 They know econometric theories and have ability to solve economic problems by using these theories
6 They make academic studies when needed to economic perspective
7 They are specialists at some of theese areas:public economics, industrial economics,money and banking economics, environment and natural sources economics, labour economics, knowledge and property economics, international trade and finance economics, economic growth and development
8 they have ability of translation at language orally and written
9 they use basic computer programs helping to make economic analysis
10 they have proffecional, social and scientific etic value
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Kısa Sınav 50
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (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 3 48
Mid-terms 1 20 20
Quiz 1 20 20
Final examination 1 10 10
Total Workload 146
Total Workload / 25 (Hours) 5.84
dersAKTSKredisi 6