scholarly journals Finite-Sample Simulation-Based Tests in Seemingly Unrelated Regressions

Author(s):  
Jean-Marie Dufour ◽  
Lynda Khalaf
2004 ◽  
Vol 122 (2) ◽  
pp. 317-347 ◽  
Author(s):  
Jean-Marie Dufour ◽  
Lynda Khalaf ◽  
Jean-Thomas Bernard ◽  
Ian Genest

2001 ◽  
Vol 17 (1) ◽  
pp. 156-187 ◽  
Author(s):  
Atsushi Inoue

This paper proposes nonparametric tests of change in the distribution function of a time series. The limiting null distributions of the test statistics depend on a nuisance parameter, and critical values cannot be tabulated a priori. To circumvent this problem, a new simulation-based statistical method is developed. The validity of our simulation procedure is established in terms of size, local power, and test consistency. The finite-sample properties of the proposed tests are evaluated in a set of Monte Carlo experiments, and the distributional stability in financial markets is examined.


1998 ◽  
Vol 1 (1) ◽  
pp. C154-C173 ◽  
Author(s):  
Jean‐Marie Dufour ◽  
Abdeljelil Farhat ◽  
Lucien Gardiol ◽  
Lynda Khalaf

Author(s):  
Pranab K. Sen ◽  
Julio M. Singer ◽  
Antonio C. Pedroso de Lima

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