Essentials of Econometrics 4/e (絕)
- 20本以上，享 8.5折
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- 一般書籍
- ISBN：9780071276078
- 作者：Damodar N. Gujarati
- 版次：4
- 年份：2009
- 出版商：McGraw-Hill
書籍介紹
目錄
Description
The primary objective of the fourth edition of Essentials of Econometrics is to provide a user-friendly introduction to econometric theory and techniques. This text provides a simple and straightforward introduction to econometrics for the beginner. The book is designed to help students understand econometric techniques through extensive examples, careful explanations, and a wide variety of problem material. In each of the editions, I have tried to incorporate major developments in the field in an intuitive and informative way without resort to matrix algebra, calculus, or statistics beyond the introductory level. The fourth edition continues that tradition.
The primary objective of the fourth edition of Essentials of Econometrics is to provide a user-friendly introduction to econometric theory and techniques. This text provides a simple and straightforward introduction to econometrics for the beginner. The book is designed to help students understand econometric techniques through extensive examples, careful explanations, and a wide variety of problem material. In each of the editions, I have tried to incorporate major developments in the field in an intuitive and informative way without resort to matrix algebra, calculus, or statistics beyond the introductory level. The fourth edition continues that tradition.
Table of Contents
Chapter 1: The Nature and Scope of Econometrics
Part I: The Linear Regression Model
Chapter 2: Basic Ideas of Linear Regression
Chapter 3: The Two-Variable Model: Hypothesis Testing
Chapter 4: Multiple Regression: Estimation and Hypothesis Testing
Chapter 5: Functional Forms of Regression Models
Chapter 6: Dummy Variable Regression Models
Part II: Regression Analysis in Practice
Chapter 7: Model Selection: Criteria and Tests
Chapter 8: Multicollinearity: What Happens if Explanatory Variables are Correlated?
Chapter 9: Heteroscedasticity: What Happens if the Error Variance is Nonconstant?
Chapter 10: What Happens if Error Terms are Correlated?
Part III: Advanced Topics in Econometrics
Chapter 11: Simultaneous Equation Models
Chapter 12: Selected Topics in Single-Equation Regression Models
Chapter 1: The Nature and Scope of Econometrics
Part I: The Linear Regression Model
Chapter 2: Basic Ideas of Linear Regression
Chapter 3: The Two-Variable Model: Hypothesis Testing
Chapter 4: Multiple Regression: Estimation and Hypothesis Testing
Chapter 5: Functional Forms of Regression Models
Chapter 6: Dummy Variable Regression Models
Part II: Regression Analysis in Practice
Chapter 7: Model Selection: Criteria and Tests
Chapter 8: Multicollinearity: What Happens if Explanatory Variables are Correlated?
Chapter 9: Heteroscedasticity: What Happens if the Error Variance is Nonconstant?
Chapter 10: What Happens if Error Terms are Correlated?
Part III: Advanced Topics in Econometrics
Chapter 11: Simultaneous Equation Models
Chapter 12: Selected Topics in Single-Equation Regression Models
