Ders Bilgileri

#### Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
0 0 0
 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: 2: 3: 4: Ölçme Yöntemleri: A: C:

#### 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

#### 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

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