Presents a user-friendly introduction to econometric theory and techniques. This book helps students understand econometric techniques through examples, explanations, and a variety of problem material.

Chapter 1: The Nature and Scope of EconometricsPart I: The Linear Regression ModelChapter 2: Basic Ideas of Linear RegressionChapter 3: The Two-Variable Model: Hypothesis TestingChapter 4: Multiple Regression: Estimation and Hypothesis TestingChapter 5: Functional Forms of Regression ModelsChapter 6: Dummy Variable Regression ModelsPart II: Regression Analysis in PracticeChapter 7: Model Selection: Criteria and TestsChapter 8: Multicollinearity: What Happens if Explanatory Variables are Correlated?Chapter 9: Heteroscedasticity: What Happens if the Error Variance is Nonconstant?Chapter 10: What Happens if Error Terms are Correlated?Part II: Advanced Topics in EconometricsChapter 11: Simultaneous Equation ModelsChapter 12: Selected Topics in Single-Equation Regression ModelsAppendicesIntroduction: Basics of Probability and StatisticsAppendix A: Review of Statistics: Probability and Probability DistributionsAppendix B: Characteristics of Probability DistributionsAppendix C: Some Important Probability DistributionsAppendix D: Statistical Inference: Estimation and Hypothesis TestingAppendix E: Statistical TablesAppendix F: Computer Output of EViews, Minitab, Excel, and STATA