EconPapers    
Economics at your fingertips  
 

Problems related to confidence intervals for impulse responses of autoregressive processes

Alexander Benkwitz, Michael Neumann and Helmut Lutekpohl

Econometric Reviews, 2000, vol. 19, issue 1, 69-103

Abstract: Confidence intervals for impulse responses computed from autoregressive processes are considered. A detailed analysis of the methods in current use shows that they are not very reliable in some cases. In particular, there are theoretical reasons for them to have actual coverage probabilities which deviate considerably from the nominal level in some situations of practical importance. For a simple case alternative bootstrap methods are proposed which provide correct results asymptotically.

Keywords: impulse response; bootstrap; autoregressive process; asymptotic inference; nonparametric inference (search for similar items in EconPapers)
Date: 2000
References: View complete reference list from CitEc
Citations: View citations in EconPapers (31)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/07474930008800460 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:emetrv:v:19:y:2000:i:1:p:69-103

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/LECR20

DOI: 10.1080/07474930008800460

Access Statistics for this article

Econometric Reviews is currently edited by Dr. Essie Maasoumi

More articles in Econometric Reviews from Taylor & Francis Journals
Bibliographic data for series maintained by ().

 
Page updated 2025-03-20
Handle: RePEc:taf:emetrv:v:19:y:2000:i:1:p:69-103