Description

Table of content:

1. An Overview of Regression Analysis
2. Ordinary Least Squares
3. Learning to Use Regression Analysis
4. The Classical Model
5. Hypothesis Testing and Statistical Inference
6. Specification: Choosing the Independent Variables
7. Specification: Choosing a Functional Form
8. Multicollinearity
9. Serial Correlation
10. Heteroskedasticity
11. Running Your Own Regression Project
12. Time-Series Models
13. Dummy Dependent Variable Techniques
14. Simultaneous Equations
15. Forecasting
16. Experimental and Panel Data
Appendix A: Answers