Econometrics For Dummies

Table of contents

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