Estimation of structural impulse responses: short-run versus long-run identifying restrictions
Helmut Lütkepohl,
Anna Staszewska-Bystrova and
Peter Winker
AStA Advances in Statistical Analysis, 2018, vol. 102, issue 2, No 5, 229-244
Abstract:
Abstract There is evidence that estimates of long-run impulse responses of structural vector autoregressive (VAR) models based on long-run identifying restrictions may not be very accurate. This finding suggests that using short-run identifying restrictions may be preferable. We compare structural VAR impulse response estimates based on long-run and short-run identifying restrictions and find that long-run identifying restrictions can result in much more precise estimates for the structural impulse responses than restrictions on the impact effects of the shocks.
Keywords: Impulse responses; Structural vector autoregressive model; Long-run multipliers; Short-run multipliers (search for similar items in EconPapers)
JEL-codes: C32 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s10182-017-0300-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
Working Paper: Estimation of Structural Impulse Responses: Short-Run versus Long-Run Identifying Restrictions (2017) 
Working Paper: Estimation of Structural Impulse Responses: Short-Run versus Long-run Identifying Restrictions (2017) 
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:spr:alstar:v:102:y:2018:i:2:d:10.1007_s10182-017-0300-9
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10182/PS2
DOI: 10.1007/s10182-017-0300-9
Access Statistics for this article
AStA Advances in Statistical Analysis is currently edited by Göran Kauermann and Yarema Okhrin
More articles in AStA Advances in Statistical Analysis from Springer, German Statistical Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().