Econometrics for dummies -- About the Author; Dedication -- Contents at a Glance -- Table of Contents -- Introduction -- Part I: Getting Started with Econometrics -- Chapter 1: Econometrics: The Economist’s Approach to Statistical Analysis -- Chapter 2: Getting the Hang of Probability -- Chapter 3: Making Inferences and Testing Hypotheses -- Part II: Building the Classical Linear Regression Model -- Chapter 4: Understanding the Objectives of Regression Analysis -- Chapter 5: Going Beyond Ordinary with the Ordinary Least Squares Technique -- Chapter 6: Assumptions of OLS Estimation and the Gauss-Markov Theorem -- Chapter 7: The Normality Assumption and Inference with OLS -- Part III: Working with the Classical Regression Model -- Chapter 8: Functional Form, Specification, and Structural Stability -- Chapter 9: Regression with Dummy Explanatory Variables -- Part IV: Violations of Classical Regression Model Assumptions -- Chapter 10: Multicollinearity -- Chapter 11: Heteroskedasticity -- Chapter 12: Autocorrelation -- Part V: Discrete and Restricted Dependent Variables in Econometrics -- Chapter 13: Qualitative Dependent Variables -- Chapter 14: Limited Dependent Variable Models -- Part VI: Extending the Basic Econometric Model -- Chapter 15: Static and Dynamic Models -- Chapter 16: Diving into Pooled Cross-Section Analysis -- Chapter 17: Panel Econometrics -- Part VII: The Part of Tens -- Chapter 18: Ten Components of a Good Econometrics Research Project -- Chapter 19: Ten Common Mistakes in Applied Econometrics -- Appendix: Statistical Tables -- Index.