Basic Econometrics
Table of Contents

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Program Details

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