Includes index.

Contents: Introduction -- Part I: Single-Equation Regression Model: The Nature of Regression Analysis -- Two-Variable Regression Analysis: Some Basic Ideas -- Two Variable Regression Model: The Problem of Estimation -- Classical Normal Linear Regression Model (CNLRM) -- Two-Variable Regression: Interval Estimation and Hypothesis Testing -- Extensions of the Two-Variable Linear Regression Model -- Multiple Regression Analysis: The Problem of Estimation -- Multiple Regression Analysis: The Problem of Inference --- Dummy Variable Regression Models Part II: Relaxing the Assumptions of the Classical Model -- Multicollinearity: What happens if the Regressor are Correlated -- Heteroscedasticity: What Happens if the Error Variance is Nonconstant? --- Autocorrelation: What Happens if the Error Terms are Correlated -- Econometric Modeling: Model Specification and Diagnostic Testing Part III: Topics in Econometrics -- Nonlinear Regression Models -- Qualitative Response Regression Models -- Panel Data Regression Models -- Dynamic Econometric Model: Autoregressive and Distributed-Lag Models. Part IV: Simultaneous-Equation Models -- Simultaneous-Equation Models. -- The Identification Problem. -- Simultaneous-Equation Methods. -- Time Series Econometrics: Some Basic Concepts -- 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