Using Econometrics: A Practical Guide
Author:   A. H. Studenmund
Publisher:   Pearson Education (US)
Edition:   6th edition
ISBN:  

9780131367739


Pages:   616
Publication Date:   25 January 2010
Replaced By:   9781292021270
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Using Econometrics: A Practical Guide


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Overview

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.

Full Product Details

Author:   A. H. Studenmund
Publisher:   Pearson Education (US)
Imprint:   Pearson
Edition:   6th edition
Dimensions:   Width: 1.00cm , Height: 1.00cm , Length: 1.00cm
Weight:   1.100kg
ISBN:  

9780131367739


ISBN 10:   0131367730
Pages:   616
Publication Date:   25 January 2010
Audience:   College/higher education ,  Tertiary & Higher Education
Replaced By:   9781292021270
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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

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