The aim of this course is to improve the level of statistical knowledge of the students to conduct advanced level of econometric analysis.
Course Content
This course contains; Introduction,Statistical Concepts,An Overview of Regression Analysis,Ordinary Least Squares,Use of Regression Analysis,The Classical Model (Part 1),The Classical Model (Part 2),Choosing the Independent Variables,Choosing the Independent Variables,Choosing a Functional Form,Multicollinearity/Serial Correlation,Heteroscedasticity,Time Series Models (Part 1),Time Series Models (Part 2).
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
1. Will be able to analyze economic data via regression analysis.
12, 6, 9
A
1.1 Explains the linear relationship between variables.
1.2 Uses regression analysis as a tool to develop econometric models.
1.3 Prepares a suitable dataset to accomplish an empirical analysis.
2. Will be able to interpret and evaluate the outcomes of an empirical analyses.
12, 6, 9
A
2.1 Performs statistical tests for parameter significance.
2.2 Interprets the effects of independent variables on the dependent variable.
2.3 Determines the goodness of the fit of a regression analysis.
2.4 Prepares reports on empirical analyses.
3. Will be able to perform elementary procedures by means of statistical/econometrics packages.
17, 6, 9
A
3.1 Uses Eviews/Stata software to run models.
3.2 Performs statistical tests to understand whether assumptions of classical regression are satisfied.
3.3 Interprets outputs of statistical/econometrics packages.
4. Will be able to conduct research by using econometric techniques.
14, 9
A
4.1. Tests current theories.
4.2. Investigates relationships between macroeconomic variables by using time-series techniques.
5. Will be able to make policy recommendations based on empirical evidence
9
A
5.1. Evaluates the relations between variables in terms of economic policies.
5.2. Makes predictions about which factors/policies might be more effective
Teaching Methods:
12: Problem Solving Method, 14: Self Study Method, 17: Experimental Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:
A: Traditional Written Exam
Course Outline
Order
Subjects
Preliminary Work
1
Introduction
2
Statistical Concepts
3
An Overview of Regression Analysis
4
Ordinary Least Squares
5
Use of Regression Analysis
6
The Classical Model (Part 1)
7
The Classical Model (Part 2)
8
Choosing the Independent Variables
9
Choosing the Independent Variables
10
Choosing a Functional Form
11
Multicollinearity/Serial Correlation
12
Heteroscedasticity
13
Time Series Models (Part 1)
14
Time Series Models (Part 2)
Resources
Text Book: A. H. Studenmund, “Using Econometrics: A Practical Guide”, Global Edition, 6/E ISBN: 9781292154091
Additional Book: P. E. Kennedy, "A Guide to Econometrics", Fifth Edition, ISBN: 9780262611831
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
(S)he describes theoretical knowledge in economics and finance.
X
2
(S)he explains mathematical and statistical methods needed for economics and finance.
X
3
(S)he uses at least one computer program utilized for economic and financial analyses (SPSS, Eviews, STATA, R ve MATLAB).
X
4
(S)he has the foreign language proficiency necessary for economics and finance.
5
(S)he develops projects in the field and handles team work.
X
6
(S)he develops (her) his awareness of lifetime learning, follows the developments in (her) his field and adopts a critical approach.
7
(S)he uses theoretical and practical knowledge on economics and finance.
X
8
(S)he delivers (her) his opinions by making effective use of modern technologies and of at least one foreign language at a minimum level of level C1.
9
(S)he adopts and uses organizational, corporate and social ethical values.
10
(S)he adopts principles of social responsibility and acts whenever needed in light of social service sensitivity.
11
(S)he analyzes and uses basic knowledge and data regarding different disciplines to conduct inter-disciplinary studies.
X
12
(S)he benefits from (her) his proficiency in economics and finance to make policy suggestions and contribute to the field.
Assessment Methods
Contribution Level
Absolute Evaluation
Rate of Midterm Exam to Success
40
Rate of Final Exam to Success
60
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
14
3
42
Guided Problem Solving
0
0
0
Resolution of Homework Problems and Submission as a Report
5
10
50
Term Project
0
0
0
Presentation of Project / Seminar
0
0
0
Quiz
0
0
0
Midterm Exam
1
28
28
General Exam
1
30
30
Performance Task, Maintenance Plan
0
0
0
Total Workload(Hour)
150
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(150/30)
5
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.
Detail Informations of the Course
Course Description
Course
Code
Semester
T+P (Hour)
Credit
ECTS
ECONOMETRICS
-
Fall Semester
3+0
3
5
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of Course
English
Course Level
First Cycle (Bachelor's Degree)
Course Type
Required
Course Coordinator
Assist.Prof. Ayşe Saime DÖNER
Name of Lecturer(s)
Prof.Dr. Mesut KARAKAŞ
Assistant(s)
Aim
The aim of this course is to improve the level of statistical knowledge of the students to conduct advanced level of econometric analysis.
Course Content
This course contains; Introduction,Statistical Concepts,An Overview of Regression Analysis,Ordinary Least Squares,Use of Regression Analysis,The Classical Model (Part 1),The Classical Model (Part 2),Choosing the Independent Variables,Choosing the Independent Variables,Choosing a Functional Form,Multicollinearity/Serial Correlation,Heteroscedasticity,Time Series Models (Part 1),Time Series Models (Part 2).
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
1. Will be able to analyze economic data via regression analysis.
12, 6, 9
A
1.1 Explains the linear relationship between variables.
1.2 Uses regression analysis as a tool to develop econometric models.
1.3 Prepares a suitable dataset to accomplish an empirical analysis.
2. Will be able to interpret and evaluate the outcomes of an empirical analyses.
12, 6, 9
A
2.1 Performs statistical tests for parameter significance.
2.2 Interprets the effects of independent variables on the dependent variable.
2.3 Determines the goodness of the fit of a regression analysis.
2.4 Prepares reports on empirical analyses.
3. Will be able to perform elementary procedures by means of statistical/econometrics packages.
17, 6, 9
A
3.1 Uses Eviews/Stata software to run models.
3.2 Performs statistical tests to understand whether assumptions of classical regression are satisfied.
3.3 Interprets outputs of statistical/econometrics packages.
4. Will be able to conduct research by using econometric techniques.
14, 9
A
4.1. Tests current theories.
4.2. Investigates relationships between macroeconomic variables by using time-series techniques.
5. Will be able to make policy recommendations based on empirical evidence
9
A
5.1. Evaluates the relations between variables in terms of economic policies.
5.2. Makes predictions about which factors/policies might be more effective
Teaching Methods:
12: Problem Solving Method, 14: Self Study Method, 17: Experimental Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:
A: Traditional Written Exam
Course Outline
Order
Subjects
Preliminary Work
1
Introduction
2
Statistical Concepts
3
An Overview of Regression Analysis
4
Ordinary Least Squares
5
Use of Regression Analysis
6
The Classical Model (Part 1)
7
The Classical Model (Part 2)
8
Choosing the Independent Variables
9
Choosing the Independent Variables
10
Choosing a Functional Form
11
Multicollinearity/Serial Correlation
12
Heteroscedasticity
13
Time Series Models (Part 1)
14
Time Series Models (Part 2)
Resources
Text Book: A. H. Studenmund, “Using Econometrics: A Practical Guide”, Global Edition, 6/E ISBN: 9781292154091
Additional Book: P. E. Kennedy, "A Guide to Econometrics", Fifth Edition, ISBN: 9780262611831
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
(S)he describes theoretical knowledge in economics and finance.
X
2
(S)he explains mathematical and statistical methods needed for economics and finance.
X
3
(S)he uses at least one computer program utilized for economic and financial analyses (SPSS, Eviews, STATA, R ve MATLAB).
X
4
(S)he has the foreign language proficiency necessary for economics and finance.
5
(S)he develops projects in the field and handles team work.
X
6
(S)he develops (her) his awareness of lifetime learning, follows the developments in (her) his field and adopts a critical approach.
7
(S)he uses theoretical and practical knowledge on economics and finance.
X
8
(S)he delivers (her) his opinions by making effective use of modern technologies and of at least one foreign language at a minimum level of level C1.
9
(S)he adopts and uses organizational, corporate and social ethical values.
10
(S)he adopts principles of social responsibility and acts whenever needed in light of social service sensitivity.
11
(S)he analyzes and uses basic knowledge and data regarding different disciplines to conduct inter-disciplinary studies.
X
12
(S)he benefits from (her) his proficiency in economics and finance to make policy suggestions and contribute to the field.
