Course Name Code Semester T+U Hours Credit ECTS
Econometric Theory IKT 510 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Prof.Dr. AZİZ KUTLAR
Course Lecturers
Course Assistants Research Assistants of the Department
Course Category
Course Objective To give quantitative techniques.
Course Content Assumptions of regression estimations and analyses with econometric computer programs.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Testing the significance of obtained estimators from regression analysis Lecture, Testing,
2 Investigating the features of estimators that remove the best unbiased characteristics in regression analysis. Lecture, Testing,
3 Dealing with multicollinearity and autocorrelation problems. Lecture, Question-Answer, Testing, Homework,
4 Developing policy recommendations and comments from quantitative results within the economic theory. Lecture, Testing,
5 Running regression analyses with maximum likelikhood method and explaining the results. Lecture, Testing,
Week Course Topics Preliminary Preparation
1 Discussing the assumptions of regression estimations: Heteroskedasticity KUTLAR (2007) Bölüm IV
2 Tackling with heteroskedaticity with SPSS program. KUTLAR (2007) Bölüm IV
3 Discussing the assumptions of regression estimations: Multicollinearity KUTLAR (2007) Bölüm V
4 Tackling with Multicollinearity with SPSS program. KUTLAR (2007) Bölüm V
5 Discussing the assumptions of regression estimations: Auıtocorrelation KUTLAR (2007) Bölüm VI
6 Discussing the assumptions of regression estimations: Auıtocorrelation and d statistics KUTLAR (2007) Bölüm VI
7 Tackling with Auıtocorrelationwith SPSS program. KUTLAR (2007) Bölüm VI
8 Discussing dummy variables in regression estimation. KUTLAR (2007) Bölüm VII
9 Estimating logistic regression equations. KUTLAR (2007) Bölüm VIII
10 Estimation of logistic regression equations with SPSS program. KUTLAR (2007) Bölüm VIII
11 Estimation of autoregressive models. KUTLAR (2007) Bölüm IX
12 Simultaneous equation systems. KUTLAR (2007) Bölüm X
13 Simultaneous equation systems. KUTLAR (2007) Bölüm XI
14 Estimation of simultaneous equation systemswith SPSS program. KUTLAR (2007) Bölüm XI
Resources
Course Notes Kutlar,A. (2007). Ekonometriye Giriş. 1.Baskı.Ankara: Nobel Yayınları.
Course Resources
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 X
2 They have perfect knowledge They have perfect knowledge about general microeconomic theory through numeric and graphical methods X
3 They have perfect knowledge about general macroeconomic theory through numeric and graphical methods X
4 They know econometricThey have perfect knowledge about international trade theory through numeric X
5 They know econometric theories and have ability to solve economic problems by using these theories X
6 They make academic studies when needed to economic perspective X
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 X
8 they have ability of translation at language orally and written X
9 they use basic computer programs helping to make economic analysis X
10 they have proffecional, social and scientific etic value X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 70
1. Kısa Sınav 10
2. Kısa Sınav 10
3. Kısa Sınav 10
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 4 64
Mid-terms 1 5 5
Quiz 3 3 9
Final examination 1 15 15
Total Workload 141
Total Workload / 25 (Hours) 5.64
dersAKTSKredisi 6