Testing for Identification in SVAR-GARCH Models: Reconsidering the Impact of Monetary Shocks on Exchange Rates
Helmut Lütkepohl and
George Milunovich
No 1455, Discussion Papers of DIW Berlin from DIW Berlin, German Institute for Economic Research
Abstract:
Changes in residual volatility in vector autoregressive (VAR) models can be used for identifying structural shocks in a structural VAR analysis. Testable conditions are given for full identification for the case where the volatility changes can be modelled by a multivariate GARCH process. Formal statistical tests are presented for identification and their small sample properties are investigated via a Monte Carlo study. The tests are applied to investigate the validity of the identification conditions in a study of the effects of U.S. monetary policy on exchange rates. It is found that the data do not support full identification in most of the models considered, and the implied problems for the interpretation of the results are discussed.
Keywords: Structural vector autoregression; conditional heteroskedasticity; GARCH; identification via heteroskedasticity (search for similar items in EconPapers)
JEL-codes: C32 (search for similar items in EconPapers)
Pages: 28 p.
Date: 2015
New Economics Papers: this item is included in nep-cba, nep-ecm, nep-ets, nep-mfd and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.diw.de/documents/publikationen/73/diw_01.c.497475.de/dp1455.pdf (application/pdf)
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:diw:diwwpp:dp1455
Access Statistics for this paper
More papers in Discussion Papers of DIW Berlin from DIW Berlin, German Institute for Economic Research Contact information at EDIRC.
Bibliographic data for series maintained by Bibliothek ().