Course Name Code Semester T+U Hours Credit ECTS
Econometrics II EKO 202 4 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Prof.Dr. HİLAL YILDIZ
Course Lecturers Prof.Dr. HİLAL YILDIZ,
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, 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,
Week Course Topics Preliminary Preparation
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
Resources
Course Notes Gujarati, D. Basic Econometrics, McGraw-Hill Company, 2003
Course Resources Wooldridge, J. Introductory Econometrics, South-Western Cengage learning, 2009

Akkaya, Şahin ve Vedat Pazarlıoğlu. Ekonometri I, 2000

Tarı, Recep. Ekonometri, Umuttepe Yayınları, 2010
Week Documents Description size
0 Değişen Varyans 6.84 MB
0 Dummy Değişkenler 13.47 MB
0 çdb 17.26 MB
0 Çoklu Doğrusal Bağlantı 17.26 MB
Order Program Outcomes Level of Contribution
1 2 3 4 5
1
2
3
4
5
6
7
8
9
10
11
12
Evaluation System
Semester Studies Contribution Rate
1. Ödev 20
1. Ara Sınav 60
1. Kısa Sınav 10
2. Kısa Sınav 10
Total 100
1. Yıl İçinin Başarıya 40
1. Final 60
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Total Workload 0
Total Workload / 25 (Hours) 0
dersAKTSKredisi 6