Course Name Code Semester T+U Hours Credit ECTS
Econometrics SAU 113 0 2 + 0 2 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Prof.Dr. AZİZ KUTLAR
Course Lecturers
Course Assistants
Course Category
Course Objective It is aimed to explain the economic theories via advanced quantitative techniques.
Course Content Quantitative methods are used to make estimation and forecasting in analyzes of the economic theory and studies. (1) Students learn basic statistical techniques for economic analyzes.(2) They gain ability to understand the studies of economists? more easily.(3) They gain experience of stating econometrically the research subjects.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Hs/she knows that economic theory with quantitative approach Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
2 he/she describe the concepts of the econometric methodology. Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
3 He/she makes a regression analysis by the method of least squares method. Lecture, Question-Answer, Drilland Practice, Testing, Homework,
4 She/he knows regression analysis that single equation and examines regression hypotesis estimates. Lecture, Question-Answer, Discussion, Testing, Homework,
5 She/he performs estimates with synonym equation systems Lecture, Question-Answer, Drilland Practice, Testing, Homework,
6 She/he uses all econometrics software in real problems (SPSS; EViews,...) Lecture, Question-Answer, Testing, Homework,
7 She/he defines stages of economteric modelling Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
8 She/he make tests econometric assumptions Lecture, Question-Answer, Drilland Practice, Testing, Homework,
9 She/he make tests related with hypotesis Lecture, Question-Answer, Testing, Homework,
10 She/he uses quantitative tecnics to solve econometric problems Lecture, Question-Answer, Discussion, Testing, Homework,
11 She/he detects the presence of heteroscedasticity, multicollinearity and autocorrelation problems, Lecture, Question-Answer, Discussion, Testing, Homework,
12 She/he reviews outcomes of the software programs Lecture, Question-Answer, Drilland Practice, Testing, Homework,
13 She/he makes test related with parameters which estimated with linear programs Lecture, Question-Answer, Drilland Practice, Testing, Homework,
14 She/he makes significance test for models Lecture, Question-Answer, Drilland Practice, Testing, Homework,
15 She/he make estimation of autoregressive models and interpretations Lecture, Question-Answer, Drilland Practice, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Explanation of econometric concepts. Study metarials should be reviewed before the course
2 Expalanation of population regression function(prf) and sample regression function(srf) Study metarials should be reviewed before the course
3 Estimation of basic regression equation by Ordinary Least Squares method. Study metarials should be reviewed before the course
4 Introduction of SPSS packaged software. Study metarials should be reviewed before the course
5 Estimation of regression equation by SPSS packaged software Study metarials should be reviewed before the course
6 Testing of estimators acquired from regression equation by hypothesis tests Study metarials should be reviewed before the course
7 Application of estimators in SPSS programme. Study metarials should be reviewed before the course
8 Estimation of multivariate regression equation Study metarials should be reviewed before the course
9 Examining of the assumptions related to multivariate regression equation Study metarials should be reviewed before the course
10 Testing of multivariate regression equation in several significance levels. Study metarials should be reviewed before the course
11 Economic interpretation of estimators acquired from regression equation Study metarials should be reviewed before the course
12 Explanation of prediction problem and the kinds of prediction Study metarials should be reviewed before the course
13 Transformation of nonlinear equations into linear equations by using logarithmic methods. Study metarials should be reviewed before the course
14 Estimation of multivariate regression equation via matrix techniques. Study metarials should be reviewed before the course
Resources
Course Notes KUTLAR, A. Ekonometriye Giriş , Nobel Akademik Yayıncılık
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 60
1. Kısa Sınav 10
2. Kısa Sınav 10
1. Ödev 20
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Total Workload 0
Total Workload / 25 (Hours) 0
dersAKTSKredisi 5