BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| ECONOMICS AND FINANCE | |||||
| 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) | Build up a body of knowledge in mathematics and statistics, to use them, to understand how the mechanism of economy –both at micro and macro levels – works. | 3 |
| 2) | Understand the common as well as distinctive characters of the markets, industries, market regulations and policies. | 2 |
| 3) | Develop an awareness of different approaches to the economic events and why and how those approaches have been formed through the Economic History and understand the differences among those approaches by noticing at what extent they could explain the economic events. | 5 |
| 4) | Analyze the interventions of politics to the economics and vice versa. | 2 |
| 5) | Apply the economic analysis to everyday economic problems and evaluate the policy proposals for those problems by comparing opposite approaches. | 5 |
| 6) | Understand current and new economic events and how the new approaches to the economics are formed and evaluating. | 4 |
| 7) | Develop the communicative skills in order to explain the specific economic issues/events written, spoken and graphical form. | 5 |
| 8) | Know how to formulate the economics problems and issues and define the solutions in a well-formed written form, which includes the hypothesis, literature, methodology and results / empirical evidence. | 5 |
| 9) | Demonstrate the quantitative and qualitative capabilities and provide evidence for the hypotheses and economic arguments. | 5 |
| 10) | Understand the information and changes related to the economy by using a foreign language and communicate with colleagues. | 2 |