Table of Contents
I. THE BASIC REGRESSION MODEL.
1. An Overview of Regression Analysis.
2. Ordinary Least Squares.
3. Learning to Use Regression Analysis.
4. The Classical Model.
5. Hypothesis Testing.
II. VIOLATIONS OF THE CLASSICAL ASSUMPTIONS.
6. Specification: Choosing the Independent Variables.
7. Specification: Choosing a Functional Form.
8. Multicollinearity.
9. Serial Correlation.
10. Heteroskedasticity.
11. A Regression User's Handbook.
III. EXTENSIONS OF THE BASIC REGRESSION MODEL.
12. Time-Series Models.
13. Dummy Dependent Variable Techniques.
14. Simultaneous Equations.
15. Forecasting.
16. Statistical Principles.