Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/77098
Authors: 
Zeileis, Achim
Leisch, Friedrich
Kleiber, Christian
Hornik, Kurt
Year of Publication: 
2002
Series/Report no.: 
Technical Report, SFB 475: Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 2002,07
Abstract: 
The classical approach to testing for structural change employs retrospective tests using a historical data set of a given length. Here we consider a wide array of fluctuation-type tests in a monitoring situation – given a history period for which a regression relationship is known to be stable, we test whether incoming data are consistent with the previously established relationship. Procedures based on estimates of the regression coefficients are extended in three directions: we introduce (a) procedures based on OLS residuals, (b) rescaled statistics and (c) alternative asymptotic boundaries. Compared to the existing tests our extensions offer better power against certain alternatives, improved size in finite samples for dynamic models and ease of computation respectively. We apply our methods to two data sets, German M1 money demand and U.S. labor productivity.
Subjects: 
Online monitoring
CUSUM
MOSUM
moving estimates
recursive estimates
JEL: 
C22
C52
Document Type: 
Working Paper

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