Using Econometrics
A Practical Guide: International Edition
6th Edition
Published on 22. January 2010
Book
Paperback/Softback
648 pages
978-0-13-137998-5 (ISBN)
Description
A thorough and beginner-friendly introduction to econometrics.
Using Econometrics: A Practical Guide provides readers with a practical introduction that combines single-equation linear regression analysis with real-world examples and exercises. This text also avoids complex matrix algebra and calculus, making it an ideal text for beginners.
New problem sets and added support make Using Econometrics modern and easier to use.
Using Econometrics: A Practical Guide provides readers with a practical introduction that combines single-equation linear regression analysis with real-world examples and exercises. This text also avoids complex matrix algebra and calculus, making it an ideal text for beginners.
New problem sets and added support make Using Econometrics modern and easier to use.
More details
Edition
6th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 226 mm
Width: 188 mm
Thickness: 20 mm
Weight
826 gr
ISBN-13
978-0-13-137998-5 (9780131379985)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
A. Studenmund | A. H. Studenmund
Practical Guide to Using Econometrics, A, Global Edition
Book
01/2017
7th Edition
Pearson Education Limited
€105.99
Shipment within 10-20 days
Book
08/2013
6th Edition
Pearson Education Limited
€69.43
Article exhausted; check for reprint
Previous edition
Book
06/2005
5th Edition
Pearson
€68.19
Article exhausted; check for reprint
Content
Chapter 1: An Overview of Regression Analysis
Chapter 2: Ordinary Least Squares
Chapter 3: Learning to Use Regression Analysis
Chapter 4: The Classical Model
Chapter 5: Hypothesis Testing
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: Forecasting
Chapter 16: Experimental and Panel Data
Chapter 17: Statistical Principles
Chapter 2: Ordinary Least Squares
Chapter 3: Learning to Use Regression Analysis
Chapter 4: The Classical Model
Chapter 5: Hypothesis Testing
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: Forecasting
Chapter 16: Experimental and Panel Data
Chapter 17: Statistical Principles