Specification Analysis in the Linear Model

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A. Ullah
A01=David E. A. Giles
A01=Maxwell L. King
Arnold Zellner
Author_David E. A. Giles
Author_Maxwell L. King
Autocorrelated Disturbances
autocorrelated error regression analysis
Autocorrelated Errors
Autocorrelation Coefficient
autocorrelation testing
autocorrelation tests
Autoregressive Error Process
bayes method
bayesian
Bayesian inference methods
Category=KCH
Conald Cochrane
Cot
Covariance Matrix
Cox Test
David E. A. Giles
duality theory economics
Durbin Watson Statistic
Durbin Watson Test
Durbin Watson Test Statistic
E. J. Hannan
econometric model selection
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
finite-sample statistics
Functional Form Mis-specification
G.S. Watson
Grant H. Hillier
Guy H. Orcutt
John C. Taylor
Keith R. McLaren
Kenneth W. Clements
L. Magee
Lagrange Multiplier Tests
Likelihood Ratio Test
linear regression model
linear statistical model
Linear Unbiased Estimator
Logistic Growth Model
mathematical modeling
MC Study
Michael McAleer
Monash University
Monte Carlo Experiment
Murray Beattie
non-nested model comparison
OLS Estimate
OLS Estimator
OLS Residual
Peter Praetz
Pre-test Estimators
random regressors
Recursive Regressions
Regression Analysis
Regression Model
Richard Stone
Ross A. Williams
Russel J. Cooper
Serial Correlation
Soo-Bin Park
Specification Error Test
statistical modeling
V.K. Srivastava

Product details

  • ISBN 9780815350552
  • Weight: 680g
  • Dimensions: 156 x 234mm
  • Publication Date: 25 Jun 2019
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
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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.

Maxwell L. King, David E. A. Giles

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