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Ders  Kodu  Yarıyıl  T+U Saat  Kredi  AKTS 

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Ön Koşul Dersleri  

Önerilen Seçmeli Dersler 
Dersin Dili  Türkçe 
Dersin Seviyesi  
Dersin Türü  BOS 
Dersin Koordinatörü 
Prof.Dr. AZİZ KUTLAR 
Dersi Verenler  
Dersin Yardımcıları  
Dersin Kategorisi  
Dersin Amacı 
It is aimed to explain the economic theories via advanced quantitative techniques.

Dersin İçeriği 
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.

Dersin Öğrenme Çıktıları  Öğretim Yöntemleri  Ölçme Yöntemleri 
1  Hs/she knows that economic theory with quantitative approach  1  2  3  4   A  C  
2  he/she describe the concepts of the econometric methodology.  1  2  3  4   A  C  
3  He/she makes a regression analysis by the method of least squares method.  1  2  4   A  C  
4  She/he knows regression analysis that single equation and examines regression hypotesis estimates.  1  2  3   A  C  
5  She/he performs estimates with synonym equation systems  1  2  4   A  C  
6  She/he uses all econometrics software in real problems (SPSS; EViews,...)  1  2   A  C  
7  She/he defines stages of economteric modelling  1  2  3  4   A  C  
8  She/he make tests econometric assumptions  1  2  4   A  C  
9  She/he make tests related with hypotesis  1  2   A  C  
10  She/he uses quantitative tecnics to solve econometric problems  1  2  3   A  C  
11  She/he detects the presence of heteroscedasticity, multicollinearity and autocorrelation problems,  1  2  3   A  C  
12  She/he reviews outcomes of the software programs  1  2  4   A  C  
13  She/he makes test related with parameters which estimated with linear programs  1  2  4   A  C  
14  She/he makes significance test for models  1  2  4   A  C  
15  She/he make estimation of autoregressive models and interpretations  1  2  4   A  C  
Öğretim Yöntemleri:  1:Lecture 2:QuestionAnswer 3:Discussion 4:Drilland Practice 
Ölçme Yöntemleri:  A:Testing C:Homework 
Ders Akışı
Hafta  Konular  ÖnHazırlık 

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 
Kaynaklar 


Ders Notu  KUTLAR, A. Ekonometriye Giriş , Nobel Akademik Yayıncılık  
Ders Kaynakları 
Döküman Paylaşımı 

Dersin Program Çıktılarına Katkısı
No  Program Öğrenme Çıktıları  KatkıDüzeyi  

1  2  3  4  5 
Değerlendirme Sistemi
YARIYIL İÇİ ÇALIŞMALARI  SIRA  KATKI YÜZDESİ 

AraSinav  1  60 
KisaSinav  1  10 
KisaSinav  2  10 
Odev  1  20 
Toplam  100  
Yıliçinin Başarıya Oranı  50  
Finalin Başarıya Oranı  50  
Toplam  100 