书比较厚，还是选读吧，美中不足没有找到目录，下面贴个目录共享
Preface
Introduction
Part I Single-Equation Regression Models
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: 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 Regressors 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 Models: 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
Part V Time Series Econometrics
Chapter 21 Time Series Econometrics: Some Basic Concepts Chapter 22 Time Series Econometrics: Forecasting
Selected Bibliography
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