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