Dynamic Identification in VARs
Patrick Fève,
Paul Beaudry,
Fabrice Collard,
Alain Guay and
Franck Portier (f.portier@ucl.ac.uk)
No 22-1384, TSE Working Papers from Toulouse School of Economics (TSE)
Abstract:
Most macroeconomic models, both fully structural models as well as SVAR models, view economic outcomes as the product of a combination of endogenous and exogenous dynamic forces. In particular, the exogenous forces are generally modeled as a set of linearly independent dynamics processes. In this paper we begin by showing that this dual dynamic structure is sufficient to identify the entire set of structural impulse responses inherent to any such model. No extra restrictions are necessary. We then use this observation to suggest how it can be used to evaluate common SVAR restrictions (impact restrictions, long-run restrictions and proxy-VAR), as well as help transpire the role of cross-equation restrictions inherent to more structural models.
Keywords: Structural Shocks; Dynamic Identification; SVARs; DSGE models (search for similar items in EconPapers)
JEL-codes: C32 E32 (search for similar items in EconPapers)
Date: 2022-11-18
New Economics Papers: this item is included in nep-ecm and nep-ets
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.tse-fr.eu/sites/default/files/TSE/docu ... 2022/wp_tse_1384.pdf Full Text (application/pdf)
Related works:
Working Paper: Dynamic Identification in VARs (2024) 
Working Paper: Dynamic Identification in VARs (2022) 
Working Paper: Dynamic Identification in VARs (2022) 
Working Paper: Dynamic Identification in VARs (2022) 
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:tse:wpaper:127516
Access Statistics for this paper
More papers in TSE Working Papers from Toulouse School of Economics (TSE) Contact information at EDIRC.
Bibliographic data for series maintained by (com@tse-fr.eu).