Using Econometrics
A Practical Guide
7th Edition
Published on 5. October 2016
Book
Hardback
576 pages
978-0-13-418274-2 (ISBN)
Description
For courses in Econometrics.
A Clear, Practical Introduction to Econometrics
Using Econometrics: A Practical Guide offers readers an innovative introduction to elementary econometrics. Through real-world examples and exercises, the book covers the topic of single-equation linear regression analysis in an easily understandable format.
The Seventh Edition is appropriate for all levels: beginner econometric readers, regression users seeking a refresher, and experienced practitioners who want a convenient reference. Praised as one of the most important texts in the last 30 years, the book retains its clarity and practicality in previous editions with a number of substantial improvements throughout.
A Clear, Practical Introduction to Econometrics
Using Econometrics: A Practical Guide offers readers an innovative introduction to elementary econometrics. Through real-world examples and exercises, the book covers the topic of single-equation linear regression analysis in an easily understandable format.
The Seventh Edition is appropriate for all levels: beginner econometric readers, regression users seeking a refresher, and experienced practitioners who want a convenient reference. Praised as one of the most important texts in the last 30 years, the book retains its clarity and practicality in previous editions with a number of substantial improvements throughout.
More details
Edition
7th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 237 mm
Width: 193 mm
Thickness: 29 mm
Weight
1054 gr
ISBN-13
978-0-13-418274-2 (9780134182742)
Schweitzer Classification
Content
Brief Contents
An Overview of Regression Analysis
Ordinary Least Squares
Learning to Use Regression Analysis
The Classical Model
Hypothesis Testing and Statistical Inference
Specification: Choosing the Independent Variables
Specification: Choosing a Functional Form
Multicollinearity
Serial Correlation
Heteroskedasticity
Running Your Own Regression Project
Time-Series Models
Dummy Dependent Variable Techniques
Simultaneous Equations
Forecasting
Experimental and Panel Data
Appendix A: Answers Appendix B: Statistical Tables
An Overview of Regression Analysis
Ordinary Least Squares
Learning to Use Regression Analysis
The Classical Model
Hypothesis Testing and Statistical Inference
Specification: Choosing the Independent Variables
Specification: Choosing a Functional Form
Multicollinearity
Serial Correlation
Heteroskedasticity
Running Your Own Regression Project
Time-Series Models
Dummy Dependent Variable Techniques
Simultaneous Equations
Forecasting
Experimental and Panel Data
Appendix A: Answers Appendix B: Statistical Tables