This paper considers tests for parameter instability and structural change with unknown change point. The results apply to a wide class of parametric models that are suitable for estimation by generalized method of moments procedures. The asymptotic distributions of the test statistics considered here are nonstandard because the change point parameter only appears under the alternative hypothesis and not under the null. The tests considered here are shown to have nontrivial asymptotic local power against all alternatives for which the parameters are nonconstant. The tests are found to perform quite well in a Monte Carlo experiment reported elsewhere. Copyright 1993 by The Econometric Society.
Several testing procedures are proposed that can detect change-points in the error distribution of n...
In this paper several testing procedures are proposed that can detect change-points in the error dis...
This is the publisher's version, also available electronically from http://journals.cambridge.org/ac...
This paper considers tests of parameter instability and structural change with unknown change point....
This paper considers predictive tests for structural change in models estimated via Generalized Meth...
Cette étude généralise la procédure proposée par Ghysels et Hall (1990a) pour tester le changement s...
This paper considers a nonparametric conditional moment test of stability of an econometric model ag...
This paper considers a nonparametric conditional moment test of stability of an econometric model ag...
This paper considers a nonparametric conditional moment test of stability of an econometric model ag...
This paper considers a nonparametric conditional moment test of stability of an econometric model ag...
This paper considers a nonparametric conditional moment test of stability of an econometric model ag...
Abstract: This paper considers tests of parameters instability and structural change with known, unk...
Several testing procedures are proposed that can detect change-points in the error distribution of n...
Several testing procedures are proposed that can detect change-points in the error distribution of n...
Several testing procedures are proposed that can detect change-points in the error distribution of n...
Several testing procedures are proposed that can detect change-points in the error distribution of n...
In this paper several testing procedures are proposed that can detect change-points in the error dis...
This is the publisher's version, also available electronically from http://journals.cambridge.org/ac...
This paper considers tests of parameter instability and structural change with unknown change point....
This paper considers predictive tests for structural change in models estimated via Generalized Meth...
Cette étude généralise la procédure proposée par Ghysels et Hall (1990a) pour tester le changement s...
This paper considers a nonparametric conditional moment test of stability of an econometric model ag...
This paper considers a nonparametric conditional moment test of stability of an econometric model ag...
This paper considers a nonparametric conditional moment test of stability of an econometric model ag...
This paper considers a nonparametric conditional moment test of stability of an econometric model ag...
This paper considers a nonparametric conditional moment test of stability of an econometric model ag...
Abstract: This paper considers tests of parameters instability and structural change with known, unk...
Several testing procedures are proposed that can detect change-points in the error distribution of n...
Several testing procedures are proposed that can detect change-points in the error distribution of n...
Several testing procedures are proposed that can detect change-points in the error distribution of n...
Several testing procedures are proposed that can detect change-points in the error distribution of n...
In this paper several testing procedures are proposed that can detect change-points in the error dis...
This is the publisher's version, also available electronically from http://journals.cambridge.org/ac...