| Part I Single-Equation Regression Model |
| Chapter 1 The Nature of Regression Analysis |
| Chapter 2 Two-Variable Regression Analysis: Some Basic Ideas |
| Chapter 3 Two Variable Regression Model: The Problem of Estimation |
| Chapter 4 Classical Normal Linear Regression Model (CNLRM) |
| Chapter 5 Two-Variable Regression: Interval Estimation and Hypothesis Testing |
| Chapter 6 Extensions of the Two-Variable Linear Regression Model |
| Chapter 7 Multiple Regression Analysis: The Problem of Estimation |
| Chapter 8 Multiple Regression Analysis: The Problem of Inference |
| Chapter 9 Dummy Variable Regression Models |
| Part II Relaxing the Assumptions of the Classical Model |
| Chapter 10 Multicollinearity: What happens if the Regressor are Correlated |
| Chapter 11 Heteroscedasticity: What Happens if the Error Variance is Nonconstant? |
| Chapter 12 Autocorrelation: What Happens if the Error Terms are Correlated |
| Chapter 13 Econometric Modeling: Model Specification and Diagnostic Testing |
| Part III Topics in Econometrics |
| Chapter 14 Nonlinear Regression Models |
| Chapter 15 Qualitative Response Regression Models |
| Chapter 16 Panel Data Regression Models |
| Chapter 17 Dynamic Econometric Model: Autoregressive and Distributed-Lag Models |
| Part IV Simultaneous-Equation Models |
| Chapter 18 Simultaneous-Equation Models |
| Chapter 19 The Identification Problem |
| Chapter 20 Simultaneous-Equation Methods |
| Chapter 21 Time Series Econometrics: Some Basic Concepts |
| Chapter 22 Time Series Econometrics: Forecasting |
| Appendix A Review of Some Statistical Concepts |
| Appendix B Rudiments of Matrix Algebra |
| Appendix C The Matrix Approach to Linear Regression Model |
| Appendix D Statistical Tables |
| Appendix E Computer Output of EViews, MINITAB, Excel, and STATA |
| Appendix F Economic Data on the World Wide Web |
