ECONOMICS | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
ECO3061 | Econometrics I | Fall | 3 | 0 | 3 | 8 |
The course opens with the approval of the Department at the beginning of each semester |
Language of instruction: | En |
Type of course: | Must Course |
Course Level: | Bachelor |
Mode of Delivery: | Hybrid |
Course Coordinator : | Dr. Öğr. Üyesi EMİNE ZEREN TAŞPINAR |
Course Lecturer(s): |
Assoc. Prof. OZAN BAKIŞ |
Course Objectives: | This is an introductory econometrics course which provides basic econometric methods which are required to do applied economic research. The main goal is to cover basics of simple and multiple linear regression for cross sectional data with an emphasis on the application of these methods. |
The students who have succeeded in this course; 1. the scope of empirical economic analysis and its basic steps of application. 2. constructing a linear econometric model to answer a research and/or policy question in the field of economics, 3. estimation of linear econometric models with one variable (i.e., simple linear model regression) and interpretation of obtained results. 4. estimation of linear econometric models with more than one variable (i.e., multiple linear model regression) and interpretation of obtained results. 5. transforming research questions to hypotheses to be tested, testing these hypotheses by using statistical tools and interpreting obtained results to answer their initial questions, 6. running simple linear regression and multiple linear regression models and doing related hypothesis testing in R. |
Causal Relationship Definition, Building Causal Economic Questions Mathematical and Statistical Foundations Simple Regression Model Analysis and Necessary Assumptions Multiple Regression Model Analysis and Necessary Assumptions Ordinary Least Squares, Learning to Use Regression Analysis Hypothesis Testing Choosing Independent Variables, Choosing a Functional Form Multicollinearity Heteroskedasticity Serial Correlation |
Week | Subject | Related Preparation | |
1) | Introduction | ||
2) | Mathematical and Statistical Foundations | ||
3) | Overview of Regression Analysis | ||
4) | Ordinary Least Squares | ||
5) | Learning to Use Regression Analysis | ||
6) | The Classical Model | ||
7) | Hypothesis Testing | ||
8) | Review | ||
9) | Multicollinearity | ||
11) | Heteroskedasticity | ||
12) | Serial Correlation | ||
13) | Choosing Independent Variables | ||
14) | Choosing a Functional Form |
Course Notes: | Wooldridge, J. Introductory Econometrics: A Modern Approach, 6th ed., South-Western College Publishing. (Earlier or later editions are OK as well). The lectures are based mainly on this book. Power point slides, chapter outlines and other resources are available at: http://edu.cengage. co.uk/ (search for “wooldridge” in the search bar). |
References: |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | % 0 | |
Laboratory | % 0 | |
Application | % 0 | |
Field Work | % 0 | |
Special Course Internship (Work Placement) | % 0 | |
Quizzes | 1 | % 10 |
Homework Assignments | % 0 | |
Presentation | % 0 | |
Project | % 0 | |
Seminar | % 0 | |
Midterms | 1 | % 40 |
Preliminary Jury | % 0 | |
Final | 1 | % 50 |
Paper Submission | % 0 | |
Jury | % 0 | |
Bütünleme | % 0 | |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 16 | 3 | 48 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Special Course Internship (Work Placement) | 0 | 0 | 0 |
Field Work | 0 | 0 | 0 |
Study Hours Out of Class | 14 | 5 | 70 |
Presentations / Seminar | 0 | 0 | 0 |
Project | 0 | 0 | 0 |
Homework Assignments | 0 | 0 | 0 |
Quizzes | 15 | 1 | 15 |
Preliminary Jury | 0 | ||
Midterms | 1 | 3 | 3 |
Paper Submission | 0 | ||
Jury | 0 | ||
Final | 1 | 3 | 3 |
Total Workload | 139 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | As a world citizen, she is aware of global economic, political, social and ecological developments and trends. | 2 |
2) | He/she is equipped to closely follow the technological progress required by global and local dynamics and to continue learning. | 3 |
3) | Absorbs basic economic principles and analysis methods and uses them to evaluate daily events. | 5 |
4) | Uses quantitative and statistical tools to identify economic problems, analyze them, and share their findings with relevant stakeholders. | 5 |
5) | Understands the decision-making stages of economic units under existing constraints and incentives, examines the interactions and possible future effects of these decisions. | 3 |
6) | Comprehends new ways of doing business using digital technologies. and new market structures. | 1 |
7) | Takes critical approach to economic and social problems and develops analytical solutions. | 5 |
8) | Has the necessary mathematical equipment to produce analytical solutions and use quantitative research methods. | 5 |
9) | In the works he/she contributes, observes individual and social welfare together and with an ethical perspective. | 1 |
10) | Deals with economic problems with an interdisciplinary approach and seeks solutions by making use of different disciplines. | 2 |
11) | Generates original and innovative ideas in the works she/he contributes as part of a team. | 1 |