Testing for structural change in conditional models
نویسندگان
چکیده
منابع مشابه
Testing for Structural Change in Conditional Models
In the past decade, we have seen the development of a new set of tests for structural change of unknown timing in regression models, most notably the SupF statistic of Andrews (1993, Econometrica 61, 825}856), the ExpF and AveF statistics of AndrewsPloberger (1994, Econometrica 62, 1383}1414), and the ̧ statistic of Nyblom (1989, Journal of American Statistical Association 84, 223}230). The dis...
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We develop a methodology for estimating time-varying alphas and factor loadings based on nonparametric techniques. We test whether conditional alphas and long-run alphas, which are averages of conditional alphas, are equal to zero and derive test statistics for the constancy of factor loadings. The tests can be performed for a single asset or jointly across portfolios. The traditional Gibbons, ...
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In the ordinary linear models, regressing the residuals against lagged values has been suggested as an approach to test the hypothesis of zero autocorrelation among residuals. In this paper we extend these results to the both equally and unequally replicated functionally measurement error models. We consider the equally and unequally replicated cases separately, because in the first case the re...
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This paper introduces ideas and methods for testing for structural change in linear regression models and presents how these have been realized in an R package called strucchange. It features tests from the generalized fluctuation test framework as well as from the F test (Chow test) framework. Extending standard significance tests it contains methods to fit, plot and test empirical fluctuation...
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ژورنال
عنوان ژورنال: Journal of Econometrics
سال: 2000
ISSN: 0304-4076
DOI: 10.1016/s0304-4076(99)00068-8