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Specification Analysis in the Linear Model

Maxwell L. King David E. A. Giles

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English
Routledge
25 June 2019
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.

Edited by:   ,
Imprint:   Routledge
Country of Publication:   United States
Dimensions:   Height: 234mm,  Width: 156mm, 
Weight:   453g
ISBN:   9780815350552
ISBN 10:   0815350554
Series:   Routledge Library Editions: Econometrics
Pages:   370
Publication Date:  
Audience:   College/higher education ,  Primary
Format:   Paperback
Publisher's Status:   Active

Maxwell L. King, David E. A. Giles

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