wo bu shi
大侠, dan 小弟 wanna share my first econometrics text when i studied econometrics in university
This text covers most of the essential topics for begginers, such non-linearity, autoregressive model etc
It may not be enough for an advance user, but good enough for guys who wanna build a concrete knowledge on Econometrics (or deal withCFA Level 2 QM section.)
Hope da followings useful to u.
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
http://highered.mcgraw-hill.com/sites/0072335424/