Type of Credit: Elective
Credit(s)
Number of Students
The primary objective of this subject is to provide an introduction to the theory and application of econometric methods. The subject provides the foundation for further studies in Econometrics as well as serving the need of students undertaking further studies in economics and commerce.
能力項目說明
On completion of this subject, students are expected to use statistical software to manipulate data, test hypotheses, and conduct empirical questions on their own. Topics include estimation and testing of hypotheses, forecasting and construction of prediction intervals, use of appropriate functional forms, detection and correction of measurement problems, model specification, and use of statistical software programs for single equation regression analysis (STATA, Excel).
| 教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
|---|---|---|
Course Outline
∙ Introduction, Economic Questions and Data (1 week)
∙ Review of Probability (SW 2, 2 weeks)
∙ Review of Statistics (SW 3, 2 weeks)
∙ Bivariate Regression I (SW 4, 2 weeks).
- Probability framework.
∙ Bivariate Regression II (SW 5, 2 weeks).
- Homoskedasticity
- Estimation and Hypothesis testing.
∙ Multiple Regression I (SW 6, 2 week).
- Omitted variable bias.
- Multiple regression model.
∙ Multiple Regression II ( SW 7, 1 week).
∙ Nonlinear Regression Models (SW 8, 1 week).
- Modeling nonlinear regression functions.
- Interactions between independent variables.
∙ Assessing Regression Studies (SW 9, 1 week).
- Internal and external validity.
- Threats to internal validity.
∙ Panel Data (SW 10, 1 week).
- Panel data with two periods.
- Fixed effects regression.
- Random effects regression.
∙ Instrumental Variables Regression (SW 12, 2 weeks).
- General IV regression model.
- Checking instrument validity.
- Where do IV come from?
∙ Experiments and Quasi-Experiments (SW 13, 2 weeks).
- Difference-in-difference estimator.
- Quasi-experiments.
- Average treatment effect.
Students are evaluated based on their class attendance, problem sets, and one final exam according to the following distribution.
Problem Sets 20%
Midterm 40%
Final 40%.
Stock, H. H. and M. W. Watson, Introduction to Econometrics, 3rd Edition. Pearson/Addison Wesley 2010. (SW)
Also, an interesting book related to econometrics
∙ Levitt, S. D. and S. J. Dubner (2005). Freakonomics: A Rougue Economist Explores the Hidden Side of Everything