Specification Analysis in the Linear Model - Maxwell L. King

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Résumé :

Preface 1. Introduction Maxwell L. King and David E. A. Giles Part 1: Linear Regression with Autocorrelated Errors 2. The Cochrane and Orcutt Papers E. J. Harman 3. Testing for Autocorrelation in Linear Regression Models Maxwell L. King 4. Linear regression with Correlated Errors: Bounds on Coefficient Estimates and t-values Grant H. Hillier and Maxwell L. King 5. Efficiency of Estimators in the Regression Model with First-order Autoregressive errors L. Magee, A. Ullah, and V. K. Srivastava 6. Autocorrelation Pre-test Estimation in Models with a Lagged Dependent Variable David E. A. Giles and Murray Beanie 7. Some Aspects of Mis-specification in the Linear Model Peter Praetz Part 2: General Model Specification Issues 8. Joint Conditional Probability Functions for Modeling National Economies Guy H. Orcutt 9. Specification Tests for Separate Models: A Survey Michael McAleer 10. Functional Forms in Intertemporal Duality Keith R. McLaren and Russel J. Cooper Part 3: Some Statistical Issues 11. Asymptotic Spectral Analysis of Cross-product Matrices G. S. Watson 12. Bayesian Prediction with Random Regressors Arnold Zellner and Soo-Bin Park Part 4: Applications 13. How Accurate are the British National Accounts? Richard Stone 14. The Pattern of Financial Asset Holdings in Australia Kenneth W. Clements and John C. Taylor 15. Dwelling Commencements in Australia: Lags and Autocorrelation Ross A. Williams. Appendix 1: Application of Least Squares Regression to Relationships Containing Auto-correlated Error Terms D. Cochrane and G. H. Orcutt. Appendix 2: A Sampling Study of the Merits of Autoregressive and Reduced Form Transformations in Regression Analysis Guy H. Orcutt and Donald Cochrane. Appendix 3: The Method of Iterative Maximization J. D. Sargan