Chapter 1 An Overview of Regression Analysis
1.1 What Is Econometrics
1.1.1 Uses of Econometrics
1.1.2 Alternative Econometric Approaches
1.2 What Is Regression Analysis
1.2.1 Dependent Variables, Independent Variables, and Causality
1.2.2 Single-Equation Linear Models
1.. The Stochastic Error Term
1.2.4 Extending the Notation
1.3 The Estimated Regression Equation
1.4 A Simple Example of Regression Analysis
1.5 Using Regression to Explain Housing Prices
Summary
Exercises
Appendix
Chapter 2 Ordinary Least Squares
2.1 Estimating Single-Independent-Variable Models with OLS
2.1.1 Why Use Ordinary Least Squares
2.1.2 How Does OLS Work
2.1.3 An Illustration of OLS Estimation
2.2 Estimating Multivariate Regression Models with OLS
2.2.1 The Meaning of Multivariate Regression Coefficients
2.2.2 OLS Estimation of Multivariate Regression Models
2.. An Example of a Multivariate Regression Model
2.2.4 Total, Explained, and Residual Sums of Squares
. Evaluating the lity of a Regression Equation
2.4 Describing the Overall Fit of the Estimated Model
2.5 An Example of the Misuse of R
Summary
Exercises
Appendix
Chopter 3 Learning to Use Regression Analysis
3.1 Steps in Applied Regression Analysis
3.2 Using Regression Analysis to Pick Restaurant Locations
3.3 Dummy Variables
Summary
Exercises
Appendix
Chapter 4 The Classical Model
4.1 The Classical Assutin
4.2 The Sampling Distribution of β
4.2.1 Properties of the Mean
4.2.2 Properties of the Variance
4.. The Standard Error of β
4.3 The Gauss-Markov Theorem and the Properties of OLS Estimators
4.4 Standard Econometric Notation
Summary
Exercises
Chapter 5 Hypothesis Testing and Statistical Inference
5.1 What Is Hypothesis Testing
5.1.1 Classical Null and Alternative Hypotheses
5.1.2 Type I and Type Ⅱ Errors
5.1.3 Decision Rules of Hypothesis Testing
5.2 The t-Test
5.2.1 The t-Statistic
5.2.2 The Critical t-Value and the t-Test Decision rule
5.. Choosing a Level of Significance
5.2.4 p-Values
5.3 Examples of t-Tests
……
Chapter 6 Specification:Choosing the Independent Variables
Chapter 7 Specification Choosing a Functional Form
Chapter 8 Multicollinearity
Chapter 9 Serial Correlation
Chapter 10 Heteroskedasticity
Chapter 11 Running Your Own Regression Project
Chapter 12 Time-Series Models
Chapter 13 Dummy Dependent Variable Techniques
Chapter 14 Simultaneous Equations
Chapter 15 Experimental and Panel Data
Appendix Statistical Tables
于永娟，1978年生，山东潍坊人，经济学博士，副教授。具有多年的高校教学管理和双语教学经验。近年来主持质量工程项目和教改课题6项，主持省部级科研课题5项，主研社科和省部级以上课题6项，主持横向课题多项；在CSSCI和SSCI等核心期刊发表20余篇，参编省部级规划教材8部；研究成果获多项奖励。
何悦，1988年7月生，重庆涪陵人，博士。于四川农业大学农业经济管理专业，现为长江师范学院财经学院讲师，主要从事绿色农业、农户生产行为等方面的研究。主持和主研、省部级课题10余项；在《经济纵横》、《财经科学》等期刊公开发表文章20余篇。
本书是经济管理类各专业核心课程的教材，本书从我国经济管理 类各专业教学的实际出发，坚持“重思想、重方法、重应用”的原则，充分借鉴国外教材的优点，精选教学内容，避免烦琐的数学推导和明，系统介绍了计量经济学的基本理论、基本思想、基本方法及其应用，涵盖了经济学科教学指导委员会制定的经济学科计量经济学课程基本要求的内容，本书特别突出计量经济学的实际应用，运用实际的经济案例，与普遍应用的计量软件紧密结合，并且专门讨论了应用计量经济学方法作实项目研究的一般方法。
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