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.
9. Serial Correlation.
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.
16. Statistical Principles.
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This book is very reader-friendly and hardly requires any prior studies in statistics and calculus it has a whole chapter on essential statistics for beginners. You wont find much elaborate theoretical proofs and such in this book, instead the focus is on giving the reader practical skills to use econometrics immediately. This book gives a solid foundation in econometrics, especially for those who hate theory and elaborate manipulation of equations where calculus is required. If you mainly seek the practical techniques of econometrics to use in everyday business analysis, and leave theory to the academics, then this book is ideal. It gave me a good foundation before doing intermediate and more theoretical econometrics.