Economics (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code: ECO208
Course Name: Econometrics
Semester: Spring
Course Credits:
ECTS
6
Language of instruction: English
Course Condition:
Does the Course Require Work Experience?: No
Type of course: Compulsory Courses
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator: Dr. Öğr. Üy. İLAYDA İSABETLİ FİDAN
Course Lecturer(s): İlayda İsabetli Fidan
Course Assistants:

Course Objective and Content

Course Objectives: 1) Providing students to understand economic relations with econometric techniques using different types of datasets.
2) Teaching how to use econometric methods to create answers for problems in various research agendas.
3) Teaching to be critical while approaching to economic problems.
4) Teaching to make theoretical knowledge an econometric model.
Course Content: As an introduction to econometrics, this course includes theoretical and applied exercises. The course will begin with an introduction to econometrics with the background of statistical and mathematical methods, and continue with regression analysis, hypothesis testing, time series and panel data models. All steps will be shown with econometrics softwares, Eviews and Stata. Additionally, latest articles on econometrics will be followed and discussed in this course.

Learning Outcomes

The students who have succeeded in this course;
1) Make the data suitable for statistical and econometric analyses.
2) Build econometric models that explain the mechanisms forming the relations between variables.
3) Interpret the results obtained through econometric analyses.
4) Use E-views and Stata softwares for statistical and econometric analysis.

Course Flow Plan

Week Subject Related Preparation
1) Introduction to Econometrics
2) Mathematical and Statistical Methods
3) Introduction to Econometrics Softwares (Eviews, Stata, SPSS)
4) Regression Analysis and OLS
5) Using Regression Analysis-Applied
6) Classical Model and Assumptions
7) MIDTERM
8) Hypothesis Testing
9) Choosing the Independent Variable
10) Choosing the Functional Form
11) Multicollinearity
12) Serial Correlation
13) Project 1 (Time Series)
14) Project 2 (Time Series)

Sources

Course Notes / Textbooks: • Using Econometrics a Practical Guide, A.H. Studendmund - Sixth Edition 2014, Pearson
References: • Örneklerle Ekonometri, Domadar Gujarati - 2015 Macmillan
• Ekonometri – Stata Uygulamalı, Ferda Yerdelen Tatoğlu, 2020, Beta

Course - Program Learning Outcome Relationship

Course Learning Outcomes

1

2

3

4

Program Outcomes
1) They have a broad and interdisciplinary perspective on economics using other social sciences and mathematics. 3 3 3 3
2) They have knowledge and skill about different functions and interactions of economy. 3 3 3 3
3) They use different theoretical approaches to comprehend and solve various economic problems. 3 3 3 3
4) They are aware of the needs of society and use their knowledge of economics to meet these needs. 1 1 1 1
5) They have in-depth knowledge on the current issues of the Turkish economy and the global economy. 2 2 2 2
6) They have in-depth knowledge on the history of the Turkish economy and basic level knowledge on the history of the global economy. 1 1 1 1
7) Using various statistical techniques and numerical methods, they establish correct economic models and make analyzes by using statistical programs effectively. 3 3 3 3
8) They use a foreign language at least at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. 2 2 2 2
9) They improve their skills of teamwork, negotiation, leadership and entrepreneurship. 2 2 2 2
10) They have universal ethical values, social responsibility awareness and adequate knowledge of business law. 1 1 1 1
11) Being able to develop positive attitudes with regards to lifelong learning, they identify their individual learning needs and carry out studies to fulfil them. 3 3 3 3
12) They express their ideas and solution proposals concerning their field both written and orally, and present and publish them on both national and international platforms. 3 3 3 3
13) They use information and communication technologies together with a computer software required by the field at least at advanced level of European Computer Driving License . 3 3 3 3

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) They have a broad and interdisciplinary perspective on economics using other social sciences and mathematics. 3
2) They have knowledge and skill about different functions and interactions of economy. 3
3) They use different theoretical approaches to comprehend and solve various economic problems. 3
4) They are aware of the needs of society and use their knowledge of economics to meet these needs. 1
5) They have in-depth knowledge on the current issues of the Turkish economy and the global economy. 1
6) They have in-depth knowledge on the history of the Turkish economy and basic level knowledge on the history of the global economy. 1
7) Using various statistical techniques and numerical methods, they establish correct economic models and make analyzes by using statistical programs effectively. 3
8) They use a foreign language at least at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. 2
9) They improve their skills of teamwork, negotiation, leadership and entrepreneurship. 1
10) They have universal ethical values, social responsibility awareness and adequate knowledge of business law. 1
11) Being able to develop positive attitudes with regards to lifelong learning, they identify their individual learning needs and carry out studies to fulfil them. 3
12) They express their ideas and solution proposals concerning their field both written and orally, and present and publish them on both national and international platforms. 3
13) They use information and communication technologies together with a computer software required by the field at least at advanced level of European Computer Driving License . 3

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 6 % 30
Midterms 1 % 30
Final 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

Workload and ECTS Credit Calculation

Activities Number of Activities Preparation for the Activity Spent for the Activity Itself Completing the Activity Requirements Workload
Course Hours 14 1 3 56
Application 14 1 1 28
Homework Assignments 6 5 1 36
Midterms 1 15 1 16
Final 1 20 1 21
Total Workload 157