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COMPARISON OF BOOTSTRAP CONFIDENCE INTERVALS FOR IMPULSE RESPONSES OFGERMAN MONETARY SYSTEMS

Published online by Cambridge University Press:  02 March 2001

Alexander Benkwitz
Affiliation:
Humboldt-Universität Zu Berlin, Institut für Statistik und Ökonometrie
Helmut Lütkepohl
Affiliation:
Humboldt-Universität Zu Berlin, Institut für Statistik und Ökonometrie
Jürgen Wolters
Affiliation:
Freie Universität Berlin, Institut für Statistik und Ökonometrie

Abstract

It is argued that standard impulse response analysis based on vector autoregressive models has a number ofshortcomings. Although the impulse responses are estimatedquantities, measures for sampling variability such asconfidence intervals sometimes are not provided. Ifconfidence intervals are given, they often are based onbootstrap methods with dubious theoretical properties. Theseproblems are illustrated using two German monetary systems. Proposals are made for improving current practice. Specialemphasis is placed on systems with cointegratedvariables.

Information

Type
Research Article
Copyright
© 2001 Cambridge University Press

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