Using Econometrics: A Practical Guide
Author:   A. Studenmund ,  A. H. Studenmund
Publisher:   Pearson Education (US)
Edition:   7th edition
ISBN:  

9780134182742


Pages:   576
Publication Date:   05 October 2016
Replaced By:   9781292154091
Format:   Hardback
Availability:   Available To Order   Availability explained
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Using Econometrics: A Practical Guide


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Overview

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.  

Full Product Details

Author:   A. Studenmund ,  A. H. Studenmund
Publisher:   Pearson Education (US)
Imprint:   Pearson
Edition:   7th edition
Dimensions:   Width: 18.80cm , Height: 2.50cm , Length: 23.40cm
Weight:   0.953kg
ISBN:  

9780134182742


ISBN 10:   013418274
Pages:   576
Publication Date:   05 October 2016
Audience:   College/higher education ,  Tertiary & Higher Education
Replaced By:   9781292154091
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

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

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