Cover; Title Page; 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 ModelChapter 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., and Chapter 16: Diving into Pooled Cross-Section AnalysisChapter 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; Cheat Sheet.
Summary
Score your highest in econometrics? Easy. Econometrics can prove challenging for many students unfamiliar with the terms and concepts discussed in a typical econometrics course. Econometrics For Dummies eliminates that confusion with easy-to-understand explanations of important topics in the study of economics. Econometrics For Dummies breaks down this complex subject and provides you with an easy-to-follow course supplement to further refine your understanding of how econometrics works and how it can be applied in real-world situations. An excellent res.
