Course Code & Number
ECON 434
Course Title
Panel Data Analysis
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 6 ECTS Credits
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: ECON 332_O
Co-requisites: NONE
Catalog Description
Applied econometrics dealing with 'panel' or 'longitudinal' data sets. Specification, estimation, and inference in the context of models that include individual (firm, person, etc.) and/or time effects. Panel data estimators, instrumental variables estimators, and maximum likelihood estimation of limited dependent variable models.
Course Objectives
This course presents an overview of a selection of key topics in panel data econometrics, a branch dealing with data structures which have both time and group dimensions. Although the emphasis of the course is on practical implementation of the techniques to be learned, a sound knowledge of statistics, basic econometrics and matrix algebra will help make the most of the course material. The techniques to be learned during the course will be demonstrated using STATA statistical software.
Software Usage
Students will use Stata and MS Office applications (Word, Excel, Access, Powerpoint) to work on their weekly assignments about 4 hours a week.
Course Learning Outcomes
Upon succesful completion of this course, a student will be able to
1. Formulate static and dynamic econometric models for panel data on the basis of economic theories.
2. Recognise why panel data is a richer data source than pure cross-section data, pure time-series data and repeated cross sections.
3. Estimate parameters in panel data models by using suitable software.
4. Communicate meaningfully and productively with others (including practitioners and professionals in the financial services industry) on time series analysis issues.
5. Evaluate their own work and the literature in management that uses regression analysis
6. Write an applied econometrics project and present the results to the class
7. Gain a working knowledge of STATA
Learning Activities and Teaching Methods:
Telling/Explaining
Discussion/Debate
Questioning
Reading
Collaborating
Case Study/Scenarion Analysis
Guest Speakers
Web Searching
Assessment Methods and Criteria:
Test / Exam
Quiz
Presentation (Oral/Poster)
Assessment Methods and Criteria Others:
Recommended Reading
1. Hsiao. C., Analysis of Panel Data. 2nd edition, Cambridge University Press, New York, 2003.
2. Hayashi. F., Econometrics. Princeton Univ. Press, Princeton, 2000.
3. Greene. W., Econometric Analysis. 5th edition, Prentice Hall, New York, 2003.
Required Reading
1. Wooldridge. J., Econometric Analysis of Cross-Section and Panel Data. MIT Press, Boston, 2002.
Learning Activities and Teaching Methods Others:
Course & Program Learning Outcome Matching:
