ECONOMETRICS
- Course
- ECON503 - ECONOMETRICS
- Department
- Economics - English - Master
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 8
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
- Keywords
Course Description
Econometrics is important in economics for several reasons. Most importantly, it helps economists test theories or hypotheses, whether existing or new. On top of that, they can convert data into a specific model to make decisions that support empirical data. Econometrics allows economists to convert economic theories into quantifiable metrics. Econometrics is also crucial for establishing trends between datasets. Based on these trends, economists can also forecast future financial or economic trends. It also helps them get a specific pattern or result from cluttered data. Usually, economists can use pre-packaged software that allows for straightforward analysis. Last but not least the identification and estimation of linear and nonlinear regression models and inference and hypothesis testing are the most important subjects of this study.
ECONOMETRICS
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Course outcomes
No course outcomes have been defined yet.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction |
| Week 2 | An Introduction to Econometrics |
| Week 3 | The Simple Regression Model |
| Week 4 | The Simple Regression Model (cont.) |
| Week 5 | Hypothesis Testing |
| Week 6 | Hypothesis Testing (cont.) |
| Week 7 | Prediction, Goodness of Fit, and modelling Issues |
| Week 8 | Midterm Exam |
| Week 9 | The Multiple Regression Model |
| Week 10 | The Multiple Regression Model (cont.) |
| Week 11 | Further Inference in the Multiple Regression Model |
| Week 12 | Autocorrelation |
| Week 13 | Heteroskedasticity |
| Week 14 | Regression with Time-Series Data: Stationary Variables |
| Week 15 | General Revision for Final |
Reference Books & Course Materials
- 01 R. Carter Hill, William E. Griffiths and Guay C. Lim, Principles of Econometrics, 5th edition, 2018.
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- P01 PO1: Endowed with the ability to evaluate self-learning needs adapted to the principle of lifelong learning.
- P02 PO2: Established a general knowledge of economics sufficient to conduct independent and original research on economic issues and suggest relevant economic policies to solve both microeconomic and macroeconomic problems.
- P03 PO3: Reached the required knowledge and skills; to understand the foundations, basic framework, and complexity of economic theories; to recognize the contribution and limitations of traditional theories; to explore modern economic theories and modeling of more complex situations; and to apply introduced theories in a discussion of research interests.
- P04 PO4: Engaged in scientific inquiry, critical thinking, using quantitative and qualitative methods to demonstrate the ability to analyze and make recommendations for complex contemporary economic issues.
- P05 PO5: Demonstrated the development of critical thinking and scientific reasoning skills with an attention to ethical aspects of data analytics, and been aware of acting in accordance with the ethical standard of scientific research and professional work.
- P06 PO6: Been equipped with the ability to plan, take responsibility in economic projects individually or within a team for economic decision making for a variety of economic concepts in national and global environment.
- P07 PO7: Endowed with the ability to communicate and explain effectively economic arguments both in oral and written ways to those with scholar knowledge and non-experts.
- P08 PO8: Been able to apply economic theory and methods in real life situations which is of primary importance to generate relevant economic policies and conduct economic research.
- P09 PO9: Developed an ability to conduct economic research and write a thesis connecting the theory and empirical conditions with particular attention to ethical perspectives and social responsibilities.
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