1. Eğitim Bilgi Sistemi
  2. Ekonometri Bölümü
  3. Econometrics II (2020 - 2021)
Ders Adı Kodu Yarıyıl T+U Saat Kredi AKTS
Econometrics II EKO 202 4 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü Zorunlu
Dersin Koordinatörü Prof.Dr. HİLAL YILDIZ
Dersi Verenler Prof.Dr. HİLAL YILDIZ,
Dersin Yardımcıları
Dersin Kategorisi Diğer
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.
# Ders Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 Hs/she knows that economic theory with quantitative approach Lecture, Testing,
2 he/she describe the concepts of the econometric methodology. Lecture, Testing,
3 He/she makes a regression analysis by the method of least squares method. Question-Answer, Lecture, Testing, Homework,
4 She/he knows regression analysis that single equation and examines regression hypotesis estimates. Lecture, Testing,
5 She/he performs estimates with synonym equation systems Lecture, Question-Answer, Testing,
6 She/he uses all econometrics software in real problems (SPSS; EViews,...) Lecture, Testing, Homework,
7 She/he defines stages of economteric modelling Lecture, Discussion, Homework,
8 She/he make tests econometric assumptions Lecture, Discussion, Homework,
9 She/he make tests related with hypotesis Lecture, Drilland Practice, Testing, Homework,
10 She/he uses quantitative tecnics to solve econometric problems Question-Answer, Drilland Practice, Homework,
11 She/he detects the presence of heteroscedasticity, multicollinearity and autocorrelation problems, Lecture, Discussion, Project / Design,
12 She/he reviews outcomes of the software programs. Lecture, Drilland Practice, Testing, Project / Design,
13 She/he makes test related with parameters which estimated with linear programs Drilland Practice, Lab / Workshop, Testing, Project / Design,
14 She/he makes significance test for models Question-Answer, Drilland Practice, Homework,
15 She/he make estimation of autoregressive models and interpretations Lecture, Discussion, Project / Design,
Hafta Ders Konuları Ön Hazırlık
1 Econometric Modeling: Models Formatting
2 Nonlinear Regression Models
3 Logit and Probit Models
4 Panel Data Regression Models
5 Dynamic Econometric Models: Delayed Distribution Models
6 Simultaneous Equation Models
7 Indirect Least Squares and Two-Stage Least Squares Methods
8 mid Term Exam
9 Time Series, Unit Root Test, Transformation of Nonstationary Time Series and Cointegration
10 AR-MA and ARIMA Models
11 VAR Models
12 ARCH and GARCH Models
13 Applications of Time Series E-Views program
14 Applications of Time Series E-Views program
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
Sıra Program Çıktıları Katkı Düzeyi
1 2 3 4 5
1
2
3
4
5
6
7
8
9
10
11
12
Değerlendirme Sistemi
Yarıyıl Çalışmaları Katkı Oranı
1. Ödev 20
1. Ara Sınav 60
1. Kısa Sınav 10
2. Kısa Sınav 10
Toplam 100
1. Yıl İçinin Başarıya 40
1. Final 60
Toplam 100
AKTS - İş Yükü Etkinlik Sayı Süre (Saat) Toplam İş Yükü (Saat)