References
- Adjibolosoo , S. B. -S. K. 1991 . On choosing the level of significance for the Goldfeld and Quandt heteroskedasticity pretesting . Communications in Statistics: Simulation and Computation , 20 : 437 – 447 .
- Cunneen , M. C. and Giles , J. A. “ Autocorrelation pre-testing using a balanced loss function, mimeo. ” .
- Giles , J. A. , Giles , D. E. A. and Ohtani , K. The exact risks of some pre-test and Stein-type regression estimators under balanced loss, Discussion Paper #9306
- Greenberg , E. 1980 . Finite sample moments of a preliminary test estimator in the case of possible heteroscedasticity . Econometrica , 48 : 1805 – 1813 .
- Mandy , D. M. 1984 . The moments of a pre-test estimator under possible heteroscedasticity . Journal of Econometrics , 25 : 29 – 33 .
- Ohtani , K. , Giles , D. E. A. and Giles , J. A. The risk behaviour of a pre-test estimator in a linear regression model with possible heteroskedasticity, Discussion Paper #9307
- Ohtani , K. and Toyoda , T. 1980 . Estimation of regression coefficients after a premilinary test for homoscedasticity . Journal of Econometrics , 12 : 151 – 159 .
- Rodrigues , J. and Zellner , A. 1994 . Weighted balanced loss function and estimation of the mean time to failure . Communications in Statistics: theory and Methods , 23 : 3609 – 3616 .
- Taylor , W. E. 1978 . The heteroscedastic linear model: Exact finite sample results . Econometrica , 46 : 663 – 675 .
- Tiao , G. C. and Zellner , A. 1964 . Bayes's theorem and the use of prior knowledge in regression analysis . Biometrika , 51 : 219 – 230 .
- Yancey , T. A. , T. A. , Judge , G. G. and Miyazaki , S. 1984 . Some improved estimators in the case possible heteroscedasticity . Journal of Econometrics , 25 : 133 – 150 .
- Zellner , A. Advances in Econometrics , Edited by: Slottje , D. 171 – 182 . Greenwich, CT : JAI Press .
- Zellner , A. Statistical Decision Theory and Related Topics , Edited by: Gupta , S. S. and Berger , J. O. 377 – 390 . new York : Springer-verlag .
- Zellner , A. 1995 . The finite sample properties of simulaneous equations' estimates and estimators: Bayesian and non-Bayesian approaches . Journal fo Econometrics , forthcoming.