Ders Bilgileri

#### Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
ECONOMETRİCS I EKO 203 3 3 + 0 3 5
 Dersin Dili Türkçe Dersin Seviyesi Lisans Dersin Türü ZORUNLU Dersin Koordinatörü Doç.Dr. VELİ YILANCI Dersi Verenler Doç.Dr. VELİ YILANCI Dersin Yardımcıları Dersin Kategorisi Alanına Uygun Temel Öğretim 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 - A - 2 - he/she describe the concepts of the econometric methodology. 1 - A - B - 3 - He/she makes a regression analysis by the method of least squares method. 1 - 2 - A - B - C - 4 - She/he knows regression analysis that single equation and examines regression hypotesis estimates. 1 - 4 - A - C - 5 - She/he performs estimates with synonym equation systems 1 - 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 - A - B - C - 8 - She/he make tests econometric assumptions 1 - 4 - A - C - 9 - She/he make tests related with hypotesis 1 - A - C - 10 - She/he uses quantitative tecnics to solve econometric problems 1 - 2 - A - C - 11 - She/he detects the presence of heteroscedasticity, multicollinearity and autocorrelation problems, 1 - A - 12 - She/he reviews outcomes of the software programs 1 - A - B - 13 - She/he makes test related with parameters which estimated with linear programs 1 - 2 - A - B - C - 14 - She/he makes significance test for models 1 - 4 - A - C - 15 - She/he make estimation of autoregressive models and interpretations 1 - 4 - A - C -
 Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 4:Drilland Practice Ölçme Yöntemleri: A:Testing B:Oral Exam C:Homework

#### Ders Akışı

Hafta Konular ÖnHazırlık
1 Explanation of econometric concepts.
2 Expalanation of population regression function(prf) and sample regression function(srf)
3 Estimation of basic regression equation by Ordinary Least Squares method.
4 Introduction of SPSS packaged software.
5 Estimation of regression equation by SPSS packaged software
6 Testing of estimators acquired from regression equation by hypothesis tests
7 Application of estimators in SPSS programme.
8 Estimation of multivariate regression equation
9 Examining of the assumptions related to multivariate regression equation
10 Testing of multivariate regression equation in several significance levels.
11 Economic interpretation of estimators acquired from regression equation
12 Explanation of prediction problem and the kinds of prediction
13 Transformation of nonlinear equations into linear equations by using logarithmic methods.
14 Estimation of multivariate regression equation via matrix techniques.

#### Kaynaklar

Ders Notu Gujarati, D. Basic Econometrics, McGraw-Hill Company, 2003
Ders Kaynakları Wooldridge, J. Introductory Econometrics, South-Western Cengage learning, 2009

Akkaya, Şahin ve Vedat Pazarlıoğlu. Ekonometri I, 2000

Tarı, Recep. Ekonometri, Umuttepe Yayınları, 2010

#### Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 X
2 X
3 X
4 X
5 X
6 X
7 X
8 X
9 X
10 X
11 X
12 X

#### Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 70
KisaSinav 1 10
Odev 1 10
KisaSinav 2 10
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

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