Strong consistency of variance estimation and asymptotic theory for tests of the linear hypothesis in multivariate linear models

Optimization ◽  
1976 ◽  
Vol 7 (5) ◽  
pp. 701-705
Author(s):  
Wolfgange H. Schmidt
Statistics ◽  
1990 ◽  
Vol 21 (4) ◽  
pp. 503-519 ◽  
Author(s):  
Z. D. Bai ◽  
X.R. Chen ◽  
B.Q. Miao ◽  
C. Radhakrishna Rao

1989 ◽  
Vol 5 (1) ◽  
pp. 95-131 ◽  
Author(s):  
Joon Y. Park ◽  
Peter C.B. Phillips

This paper continues the theoretical investigation of Park and Phillips. We develop an asymptotic theory of regression for multivariate linear models that accommodates integrated processes of different orders, nonzero means, drifts, time trends, and cointegrated regressors. The framework of analysis is general but has a common architecture that helps to simplify and codify what would otherwise be a myriad of isolated results. A good deal of earlier research by the authors and by others comes within the new framework. Special models of some importance are considered in detail, such as VAR systems with multiple lags and cointegrated variates.


1985 ◽  
Vol 17 (2) ◽  
pp. 168-184 ◽  
Author(s):  
Julio Motta Singer ◽  
Pranab Kumar Sen

1998 ◽  
Vol 93 (443) ◽  
pp. 1068-1077 ◽  
Author(s):  
Brett Presnell ◽  
Scott P. Morrison ◽  
Ramon C. Littell

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