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Course Code: 
ECON 351
Course Period: 
Autumn
Course Type: 
Core
P: 
3
Application: 
0
Credits: 
3
ECTS: 
7
Prerequisite Courses: 
Course Language: 
İngilizce
Course Objectives: 

This course consists of an introduction to linear regression models and hypothesis testing procedures using least squares technique. This course covers econometric model building under certain assumptions and offers solutions in the case of violation of the assumptions. Econometric applications are usually derived from economic theories with real data sets. Practice with an appropriate econometric sofware is encouraged during computing laboratory sessions.

Course Content: 

Ordinary Least Squares, OLS assumptions, point and confidence interval estimations, hypothesis testing, parameter stability tests, extensions in multiple regression analysis, using dummy variables, multicollinearity, heteroscedasticity and serial correlations.

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) Understand the meaning and usefulness of econometrics;

1,2,3,4

1,2,3

A, C

 

2) Be able to understand and apply simple and multiple regression techniques;

1,2,3,4

1,2,3

A, C

 

3) Be able to apply the techniques required to test the hypotheses advanced by economic theory;

1,2,3,4

1,2,3

A, C

 

4) Be aware of the primary sources of statistical data required for applied econometric work;

1,2,3,4

1,2,3

A, C

 

5) Learn how econometric results produced from a statistical data, how to interpret those results and how to assess their quality and validity

1,2,3,4

1,2,3

A, C

 

6) Understand the relationship between economics and econometrics and what latter can contribute to the former

1,2,3,4

1,2,3

A, C

 
 

Course Flow

COURSE CONTENT

Week

Topics

Study Materials

1

Introduction to econometrics

 

2

Reviewing the basics of mathematics and statistics

 

3

Introducing the econometric and economic models

 

4

Ordinary Least Square Technique and its assumptions

 

5

Properties of the OLS estimators

 

6

Midterm exam

 

7

Multiple regression analysis

 

8

Extensions in multiple regression analysis

 

9

Parameter stability tests

 

10

Application of dummy variables in regression analysis

 

11

Multicollinearity analysis

 

12

Heteroscedasticity analysis

 

13

Autocorrelation analysis

 

14

Review

 

15

Final

All Content

 

Recommended Sources

Textbook

Gujarati, N. D., and Porter, D. C., (2009), Basic Econometrics, (5th edn.), McGraw-Hill, New York.

Additional Resources

Verbeek, M. (2008), A Guide to Modern Econometrics, (3rd edn.), John Wiley and Sons, Chicester

 
 

Material Sharing

Documents

Readings in econometrics and econometric software guide books

Assignments

Given after each lecture

Exams

Past exam questions and answers

 
 

Assessment

IN-TERM STUDIES

NUMBER

PERCENTAGE

Mid-terms

1

60

Quizzes

0

0

Assignment

1

40

Total

 

100

CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE

 

50

CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE

 

50

Total

 

100

 

 

COURSE CATEGORY

Expertise/Field Courses

 
 

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

Activities

Quantity

Duration
(Hour)

Total
Workload
(Hour)

Course Duration (Including the exam week: 15 x Total course hours)

15

3

45

Hours for off-the-classroom study (Pre-study, practice)

15

8

60

Mid-terms

2

12

20

Quizzes

0

0

0

Homework

1

15

15

Final examination

1

30

30

Total Work Load

 

 

170

Total Work Load / 25 (h)

 

 

6.8

ECTS Credit of the Course

 

 

7