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PART I. THE BASIC REGRESSION MODEL
- An Overview of Regression Analysis
- Ordinary Least Squares
- Learning to Use Regression Analysis
- The Classical Model
- Hypothesis Testing
PART II. VIOLATIONS OF THE CLASSICAL ASSUMPTIONS
- Specification: Choosing the Independent Variables
- Specification: Choosing a Functional Form
- Multicollinearity
- Serial Correlation
- Heteroskedasticity
- A Regression User's Handbook
PART III. EXTENSIONS OF THE BASIC REGRESSION MODEL
- Time-Series Models
- Dummy Dependent Variable Techniques
- Simultaneous Equations
- Forecasting
- Statistical Principles
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