Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/22634 
Authors: 
Year of Publication: 
2006
Series/Report no.: 
Technical Report No. 2006,01
Publisher: 
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen, Dortmund
Abstract: 
Dickey-Fuller control charts aim at monitoring a random walk until a given time horizon to detect stationarity as early as possible. That problem appears in many fields, especially in econometrics and the analysis of economic equilibria. To improve upon asymptotic control limits (critical values), we study the bootstrap and establish its a.s. consistency for fixed alternatives. Simulations indicate that the bootstrap control chart works very well.
Subjects: 
Autoregressive time series
control chart
invariance principle
least squares
resampling
unit root
Document Type: 
Working Paper

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