Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/145537
Authors: 
Winker, Peter
Lütkepohl, Helmut
Staszewska-Bystrova, Anna
Year of Publication: 
2016
Series/Report no.: 
Beiträge zur Jahrestagung des Vereins für Socialpolitik 2016: Demographischer Wandel - Session: Time Series Econometrics D01-V2
Abstract: 
This paper proposes a new non-parametric method of constructing joint confidence bands for impulse response functions of vector autoregressive models. The estimation uncertainty is captured by means of bootstrapping and the highest density region (HDR) approach is used to construct the bands. A Monte Carlo comparison of the HDR bands with existing alternatives shows that the former are competitive with the bootstrap-based Bonferroni and Wald confidence regions. The relative tightness of the HDR bands matched with their good coverage properties makes them attractive for applications. An application to corporate bond spreads for Germany highlights the potential for empirical work.
JEL: 
C32
C53
C58
Document Type: 
Conference Paper

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