| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | 140400105100 | ECONOMETRIC ANALYSIS-I | Compulsory | 3 | 5 | 5 |
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| Level of Course Unit |
| First Cycle |
| Objectives of the Course |
| This course provides an introduction to the theory and application econometrics. This course is designed to provide an overview of the fundamentals of econometrics |
| Name of Lecturer(s) |
| Dr. Öğr. Üyesi Ayaz Yusuf Altın |
| Learning Outcomes |
| 1 | To know how to use the tools to test economic theories | | 2 | To understand how to quantify economic relationships | | 3 | To employ the econometric tools necessary to solve economic problems | | 4 | To interpret the results that are obtained through econometric analysis | | 5 | To pursue an independent econometric research project from start to finish |
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| Mode of Delivery |
| Daytime Class |
| Prerequisites and co-requisities |
| none |
| Recommended Optional Programme Components |
| none |
| Course Contents |
| OLS Regression Theory & Technique 2. Multiple Regression Theory & Technique 3. Alternative Model Specifications 4. Dummy Variables 5. Violations of Assumptions: Specification Errors, Multicollinearity, Heteroskedasticity, Autocorrelation Normality, Error correction methods |
| Weekly Detailed Course Contents |
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| 1 | Concepts and Modeling in Econometrics | none | none | | 2 | Classical Normal Linear Regression Model | none | none | | 3 | Basic Regression Analysis: The Problem of Estimation and Inference | Excel Application | none | | 4 | Obtain and interpret R^2, F and t statistics. | Excel Application | none | | 5 | Solving a Problem | An Application of Excel | none | | 6 | The Introduction of Multiple Regression Analysis: The Problem of Estimation and Inference | Introduction to Eviews Software | none | | 7 | Obtain and interpret R^2, F and t statistics in Multiple Regression Analysis | Application in Eviews Software | none | | 8 | Solving a Problem | An Application of Eviews Software | none | | 9 | Midterm | An Application of Excel | none | | 10 | Assumptions of OLS Method | none | none | | 11 | The Ways o Determining the Violations of Assumptions | An Application of Eviews Software | none | | 12 | Autocorrelation and Multicolinearity, Testing Methods, The Ways of Error Correction | An Application of Eviews Software | none | | 13 | Heteroskedasticity and Normality, Testing Methods, The Ways of Error Correction | An Application of Eviews Software | none | | 14 | Solving a Problem | An Application of Eviews Software | none | | 15 | Final | none | none |
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| Recommended or Required Reading |
| “Basic Econometrics” Damodar Gujarati, McGraw Hill 2003
Introductory Econometrics: A Modern Approach 5th edition by Jeffrey M. Wooldridge, South-Western College Publishers (2012) |
| Planned Learning Activities and Teaching Methods |
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| Assessment Methods and Criteria | |
| Midterm Examination | 1 | 100 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 40 | | End Of Term (or Year) Learning Activities | 60 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | none |
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| Workload Calculation |
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| Midterm Examination | 1 | 1 | 1 |
| Final Examination | 1 | 1 | 1 |
| Attending Lectures | 13 | 3 | 39 |
| Practice | 1 | 4 | 4 |
| Problem Solving | 3 | 3 | 9 |
| Individual Study for Homework Problems | 1 | 30 | 30 |
| Individual Study for Mid term Examination | 8 | 5 | 40 |
| Individual Study for Final Examination | 5 | 3 | 15 |
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| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 5 | 5 | 1 | 5 | 5 | 5 | 5 | 1 | 5 | 5 | 5 | 1 | 5 | 5 | 5 | 5 | 5 | | LO2 | 5 | 5 | 1 | 5 | 5 | 5 | 5 | 1 | 5 | 5 | 5 | 1 | 5 | 5 | 5 | 5 | 5 | | LO3 | 5 | 5 | 1 | 5 | 5 | 5 | 5 | 1 | 5 | 5 | 5 | 1 | 5 | 5 | 5 | 5 | 5 | | LO4 | 5 | 5 | 1 | 5 | 5 | 5 | 5 | 1 | 5 | 5 | 5 | 1 | 5 | 5 | 5 | 5 | 5 | | LO5 | 5 | 5 | 1 | 5 | 5 | 5 | 5 | 1 | 5 | 5 | 5 | 1 | 5 | 5 | 5 | 5 | 5 |
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| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476
226 13 14 • e-mail: info@igdir.edu.tr
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