Bootstrap Tests for Regression Models

Lieferzeit: Lieferbar innerhalb 14 Tagen

106,99 

Palgrave Texts in Econometrics

ISBN: 0230202306
ISBN 13: 9780230202306
Autor: Godfrey, L
Verlag: Springer Verlag GmbH
Umfang: xiii, 329 S., 1 s/w Illustr., 329 p. 1 illus.
Erscheinungsdatum: 31.07.2009
Auflage: 1/2009
Produktform: Gebunden/Hardback
Einband: Gebunden

An accessible account of how the power of modern personal computers can be harnessed to improve inference in econometricsThe exposition is simplified by considering applications and theory in the context of the familiar linear regression modelMethods are described for a variety of models for the errors of the regression equation in order to cover many cases of empirical interestExplanations and examples use results from the research literature on theoretical properties and simulation studies of finite sample performance References are provided to assist readers who wish to extend their understanding by learning about more complex models and procedures

Artikelnummer: 9056211 Kategorie:

Beschreibung

An accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample performance of well-known asymptotic tests for regression models. This book uses the linear regression model as a framework for introducing simulation-based tests to help perform econometric analyses.

Autorenporträt

LESLIE GODFREY is Professor of Econometrics at the University of York, UK and a Fellow of the Journal of Econometrics. He has served on the editorial boards of Econometric Theory and Econometric Reviews. His articles have been published in leading journals, including Econometrica, Journal of Econometrics and Review of Economics and Statistics.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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