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Item Details
Title: ESTIMATION, INFERENCE AND SPECIFICATION ANALYSIS
By: Halbert White, Andrew Chesher, Matthew O. Jackson
Format: Hardback

List price: £85.00
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ISBN 10: 0521252806
ISBN 13: 9780521252805
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Publisher: CAMBRIDGE UNIVERSITY PRESS
Pub. date: 30 September, 1994
Series: Econometric Society Monographs No.22
Pages: 396
Description: This book examines the consequences of misspecifications from the fundamental to the nonexistent for the interpretation of likelihood-based methods of statistical estimation and interference.
Synopsis: This book examines the consequences of misspecifications ranging from the fundamental to the nonexistent for the interpretation of likelihood-based methods of statistical estimation and interference. Professor White first explores the underlying motivation for maximum-likelihood estimation, treats the interpretation of the maximum-likelihood estimator (MLE) for misspecified probability models, and gives the conditions under which parameters of interest can be consistently estimated despite misspecification, and the consequences of misspecification, for hypothesis testing in estimating the asymptotic covariance matrix of the parameters. Although the theory presented in the book is motivated by econometric problems, its applicability is by no means restricted to economics. Subject to defined limitations, the theory applies to any scientific context in which statistical analysis is conducted using approximate models.
Publication: UK
Imprint: Cambridge University Press
Returns: Returnable
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