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Course Code: 
ECON 352
Course Type: 
Area Elective
P: 
3
Application: 
0
Credits: 
3
ECTS: 
6
Prerequisite Courses: 
Course Language: 
İngilizce
Course Objectives: 

In this course, a higher level of knowledge of econometrics is aimed to be taught to the students who are familiar with the basics of the classical linear regression.

Course Content: 

In time series, Autoregressive (AR), Moving average (MA), Random walk (RW) and Vector autoregressive models (VAR) are discussed. Further issues of time series include Vector error correction (VEC) and Arch, Garch (ARCH; GARCH) models. To be able to conduct the empirical work, an econometric computer package will be used.

Course Methodology: 
1: Lecture, 2: Question-Answer, 3: Discussion, 12: Case Study
Course Evaluation Methods: 
A: Testing, B: Experiment, C: Homework, Q: Quiz

Vertical Tabs

Course Learning Outcomes

Learning Outcomes Programme Learning Outcomes Teaching Methods Assessment Methods  
 
 
1) Ability to use time series, simultaneous and panel data and time sections econometrics techniques 3,4,6 1,2,3,12 A, B  
2) Ability to compare and differentiate different econometric methods 3,4,6 1,2,3,12 A, B  
3) Ability to determine the model for hypothesis testing 3,4,6 1,2,3,12 A, B  
4) Ability to criticize and criticize econometric models 3,4,6 1,2,3,12 A, B  
5) Advanced skills in using econometrics computer package 3,4,6 1,2,3,12 A, B  

Course Flow

COURSE CONTENT
Week Topics Study Materials
1 Basic Regression Analysis with Time Series Data Wooldridge 2003 Chapter 10
2 Basic Regression Analysis with Time Series Data Wooldridge 2003 Chapter 10
3 Further Issues in using OLS with Time Series Data Wooldridge 2003 Chapter 11
4 Autoregressive Conditional Heteroscedasticity (ARCH) Wooldridge 2003 Chapter 12
5 Autoregressive Conditional Heteroscedasticity (ARCH) Wooldridge 2003 Chapter 12
6 Pooling Cross Sections Across Time: Panel Data Methods Wooldridge 2003 Chapter 13
7 Midterm  
8 Instrumental Variables Estimation and Two Stage Least Squares Wooldridge 2003 Chapter 15
9 Instrumental Variables Estimation and Two Stage Least Squares Wooldridge 2003 Chapter 15
10 Simultaneous Equations Models Wooldridge 2003 Chapter 16
11 Logit and Probit Models for Binary Response Models Wooldridge 2003 Chapter 17
12 Logit and Probit Models for Binary Response Models Wooldridge 2003 Chapter 17
13 Advanced Time Series Topics Wooldridge 2003 Chapter 18
14 Review  
15 Final sınavı All Content

Recommended Sources

RESOURCES
TEXTBOOK Wooldridge, J. M. (2003) Introductory Econometrics, Thomson, South-Western, 2nd edition, (Int. edition).
OTHER Johnston, Jack and John DiNardo, Econometric Methods, 4th Edition, McGraw-Hill, 1997.

Material Sharing

DOCUMENTS
DOCUMENTS Econometrics articles and statistical programs manuals (E-Views) 
   
   

Assessment

ASSESSMENT
IN-TERM STUDIES NUMBER PERCENTAGE
Mid-Term 1 100
Class Performance 0 0
Final Exam 1 100
  Total 100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL
GRADE
  60
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL
GRADE
  40
  Total 100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAMME
No Program Learning Outcomes Contribution
1 2 3 4 5
1  Students can keep themselves informed and analyze the current economic development in Turkey and in the world from an international political economy perspective paying a particular attention to the interaction of the Turkish economy with the global economy.        
2 Being aware of the development and accumulation of economic thought, students can master qualitative and quantitative knowledge and methods to test various economic theories that can be applied to the analysis of the current economic problems.        
3 Students can use statistical and econometric analyses by learning how to use information technologies that have validity and widespread use in the field of economics.        
4 By learning how to learn in the field of economics, students can research and work individually or as a team using the Turkish and English academic resources.        
5 Being aware of the ethical values, students know the individual, social and ecological dimensions of the concept of social responsibility and can prove that they understand the active citizenship duty that falls upon them within this framework.        
6 Students can clearly express, present and share their knowledge, the outcomes of their studies, their ideas and comments to people in their field or other disciplines/units using the necessary data, in national and international academic and professional environments, in Turkish or English.        
7  Students can show that understanding the universality of social rights and the concepts of social justice, which form the basis of the modern societies, and the importance of scientific perspective, which is necessary to the social development and global competitiveness.        
 

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION  
 
Activities Quantity Duration (Hour) Total Workload (Hour)  
Course Duration (Including the exam week: 15x Total
course hours/week)
15 3 45  
Hours for off-the-classroom study (Pre-study, practice,
review/week)
15 4 60  
Homework 0 0 0  
Mid-term 1 20 20  
Final 1 20 20  
Total Work Load     145  
Total Work Load / 25 (h)     4.8  
ECTS Credit of the Course     6  
None