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1: The Nature and Scope of Econometrics
Part I: The Linear Regression Model Chapter
2: Basic Ideas of Linear Regression
3: The Two-Variable Model: Hypothesis Testing
4: Multiple Regression: Estimation and Hypothesis Testing
5: Functional Forms of Regression Models
6: Dummy Variable Regression Models
Part II: Regression Analysis in Practice
7: Model Selection: Criteria and Tests
8: Multicollinearity: What Happens if Explanatory Variables are Correlated?
9: Heteroscedasticity: What Happens if the Error Variance is Nonconstant?
10: What Happens if Error Terms are Correlated?
Part Ⅲ: Advanced Topics in Econometrics
11: Simultaneous Equation Models
12: Selected Topics in Single-Equation Regression Models
Appendices Introduction: Basics of Probability and Statistics
Appendix A: Review of Statistics: Probability and Probability Distributions
Appendix B: Characteristics of Probability Distributions
Appendix C: Some Important Probability Distributions
Appendix D: Statistical Inference: Estimation and Hypothesis Testing
Appendix E: Statistical Tables
Appendix F: Computer Output of EViews, Minitab, Excel, and STATA

The primary objective of the fourth edition of Essentials of Econometrics is to provide a user-friendly introduction to econometric theory and techniques. This text provides a simple and straightforward introduction to econometrics for the beginner. The book is designed to help students understand econometric techniques through extensive examples, careful explanations, and a wide variety of problem material. In each of the editions, I have tried to incorporate major developments in the field in an intuitive and informative way without resort to matrix algebra, calculus, or statistics beyond the introductory level. The fourth edition continues that tradition.