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Specification Analysis in the Linear Model

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Specification Analysis in the Linear Model Synopsis

Originally published in 1987. This collection of original papers deals with various issues of specification in the context of the linear statistical model. The volume honours the early econometric work of Donald Cochrane, late Dean of Economics and Politics at Monash University in Australia. The chapters focus on problems associated with autocorrelation of the error term in the linear regression model and include appraisals of early work on this topic by Cochrane and Orcutt. The book includes an extensive survey of autocorrelation tests; some exact finite-sample tests; and some issues in preliminary test estimation. A wide range of other specification issues is discussed, including the implications of random regressors for Bayesian prediction; modelling with joint conditional probability functions; and results from duality theory. There is a major survey chapter dealing with specification tests for non-nested models, and some of the applications discussed by the contributors deal with the British National Accounts and with Australian financial and housing markets.

About This Edition

ISBN: 9780815350545
Publication date: 6th March 2018
Author: Maxwell L. King, David E. A. Giles
Publisher: Routledge an imprint of Taylor & Francis Inc
Format: Hardback
Pagination: 370 pages
Series: Routledge Library Editions: Econometrics
Genres: Econometrics and economic statistics