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Building Better Econometric Models Using Cross Section and Panel Data (Paperback) Loot Price: R434
Discovery Miles 4 340
You Save: R39 (8%)
Building Better Econometric Models Using Cross Section and Panel Data (Paperback): Jeffrey A. Edwards

Building Better Econometric Models Using Cross Section and Panel Data (Paperback)

Jeffrey A. Edwards

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List price R473 Loot Price R434 Discovery Miles 4 340 You Save R39 (8%)

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Many empirical researchers yearn for an econometric model that better explains their data. Yet these researchers rarely pursue this objective for fear of the statistical complexities involved in specifying that model. This book is intended to alleviate those anxieties by providing a practical methodology that anyone familiar with regression analysis can employ-a methodology that will yield a model that is both more informative and is a better representation of the data. This book outlines simple, practical procedures that can be used to specify a model that better explains the data. Such procedures employ the use of purely statistical techniques performed upon a publicly available data set, which allows readers to follow along at every stage of the procedure. Using the econometric software Stata (though most other statistical software packages can be used as well), this book demonstrates how to test for model misspecification and how to respecify these models in a practical way that not only enhances the inference drawn from the results, but adds a level of robustness that can increase the researcher's confidence in the output generated. By following this procedure, researchers will be led to a better, more finely tuned empirical model that yields better results.

General

Imprint: Business Expert Press
Country of origin: United States
Release date: May 2014
First published: May 2014
Authors: Jeffrey A. Edwards
Dimensions: 229 x 152 x 6mm (L x W x T)
Format: Paperback
Pages: 100
ISBN-13: 978-1-60649-974-0
Categories: Books > Business & Economics > Economics > Econometrics > Economic statistics
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LSN: 1-60649-974-2
Barcode: 9781606499740

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