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CONTENTS

Chapter 1: The Nature of Regression Analysis .......................................................................................... 1

Chapter 2: Two- V ariab Ie Regression Analysis: Some Basic Ideas............................................................. 5

Chapter 3: Two-Variable Regression Model: The Problem of Estimation ............................................... 11

Chapter 4: The Normality Assumption: Classical Normal Linear Regression Model (CNLRM) ............22

Chapter 5: Two-Variable Regression: Interval Estimation and Hypothesis Testing................................ 24

Chapter 6: Extensions of the Two-Variable Regression Model................................................................ 36

Chapter 7: Multiple Regression Anaysis: The Problem of Estimation...................................................... 43

Chapter 8: Multiple Regression Anaysis: The Problem of Inference ........................................................ 53

Chapter 9: Dummy Variable Regression Models ...................................................... ................................ 70

Chapter 10: Multicollinearity: What Happens if the Regressors are Correlated? .................................... 86
Chapter 11: Heteroscdasticity: What Happens when Error Variance is Nonconstant............................... 99

Chapter 12: Autocorrelation: What Happens if the Error Terms are Correlated..................................... 111
Chapter 13: Econometric Modeling: Model Specification and Diagnostic Testing ................................ 124
Chapter 14: Nonlinear Regression Models.............................................................................................. 134

Chapter 15: Qualitative Response Regression Models.................. .......... ................... ........ ..................... 138
Chapter 16: Panel Data Regression Models ......... ....................................................... .......... .................. 144

Chapter 17: Dynamic Econometric Models: Autoregressive and Distributed Lag Models .................... 149
Chapter 18: Simultaneous-Equation Models ............... ............ .................... ........... ....... ................. ......... 160

Chapter 19: The Identification Problem.................................................................................................. 163

Chapter 20: Simultaneous-Equation Methods ...... .......... .......... ........................ ............................ ........... 168

Chapter 21: Time Series Econometrics: Some Basic Concepts .............................................................. 173

Chapter 22: Time Series Econometrics: Forecasting............................................................................... 181