BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| ECONOMICS | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ECO3061 | Econometrics I | Fall | 3 | 0 | 3 | 8 |
Basic information
| Language of instruction: | English |
| Type of course: | Must Course |
| Course Level: | Bachelor’s Degree (First Cycle) |
| Mode of Delivery: | Hybrid |
| Course Coordinator : | Dr. Öğr. Üyesi EMİNE ZEREN TAŞPINAR |
| Course Lecturer(s): |
Assoc. Prof. OZAN BAKIŞ |
| Recommended Optional Program Components: | None |
| 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. |
Learning Outcomes
|
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. |
Course Content
| 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 |
Weekly Detailed Course Contents
| 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 |
Sources
| Course Notes / Textbooks: | 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: |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Quizzes | 1 | % 10 |
| Midterms | 1 | % 40 |
| Final | 1 | % 50 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 50 | |
| PERCENTAGE OF FINAL WORK | % 50 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 16 | 3 | 48 |
| Study Hours Out of Class | 14 | 5 | 70 |
| Quizzes | 15 | 1 | 15 |
| Midterms | 1 | 3 | 3 |
| Final | 1 | 3 | 3 |
| Total Workload | 139 | ||
Contribution of Learning Outcomes to Programme Outcomes
| 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 |