A Monte Carlo procedure for checking identification in DSGE models
Vo Phuong Mai Le,
A. Patrick Minford and
Michael Wickens
No E2013/4, Cardiff Economics Working Papers from Cardiff University, Cardiff Business School, Economics Section
Abstract:
We propose a numerical method, based on indirect inference, for checking the identification of a DSGE model. Monte Carlo samples are generated from the model's true structural parameters and a VAR approximation to the reduced form estimated for each sample. We then search for a different set of structural parameters that could potentially also generate these VAR parameters. If we can find such a set, the model is not identified.
Keywords: Identification; DSGE model; Monte Carlo; Indirect Inference (search for similar items in EconPapers)
JEL-codes: C13 C51 C52 E32 (search for similar items in EconPapers)
Pages: 20 pages
Date: 2013-03
New Economics Papers: this item is included in nep-cmp and nep-dge
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://carbsecon.com/wp/E2013_4.pdf (application/pdf)
Related works:
Journal Article: A Monte Carlo procedure for checking identification in DSGE models (2017) 
Working Paper: A Monte Carlo procedure for checking identification in DSGE models (2013) 
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:cdf:wpaper:2013/4
Access Statistics for this paper
More papers in Cardiff Economics Working Papers from Cardiff University, Cardiff Business School, Economics Section Contact information at EDIRC.
Bibliographic data for series maintained by Yongdeng Xu ().