Course Description
Linear regression model. OLS estimation. Assumptions of classical linear regression models. Incorrect functional form and its implications. Multiple regression models. Dummy variables. Limited dependent variable models. Panel data models. Structural change. Instrumental variable estimation.
Course Objectives & Outcomes
The objectives of this course are :
- Study some selected topics from econometrics that cover a variety of advanced statistical techniques.
- Introduce the statistical tools needed to understand empirical economic research and its application.
Upon successful completion of this course, the student will be able to:
- Identify concepts of econometrics and its application on related fields.
- Describe and prepare the relevant research in the subject.
- State model and resolve some of the issues raised.
References
1. Baltagi, Badi H (2011) Econometrics, 5th ed. Springer. ISBN 978-3-642-20059-5.
2.Mátyás, L. (2008) Econometrics of Panel Data: Fundamentals and Recent Developments in Theory and Practice. Springer. ISBN 978-3-540-75892-1.
3.Hendry and David F. (2009) Econometrics : alchemy or science? : essays in econometric methodology. Oxford University Press. ISBN10: 0198293542.ISBN 13: 9780198293545.
Course ID: ECON 551
| Credit hours | Theory | Practical | Laboratory | Lecture | Studio | Contact hours | Pre-requisite | 3 | 3 | 3 | 6 | STAT 410 |
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