Higher order approximations of stochastic rational expectations models

Pawel Kowal ()

MPRA Paper from University Library of Munich, Germany

Abstract: We describe algorithm to find higher order approximations of stochastic rational expectations models near the deterministic steady state. Using matrix representation of function derivatives instead of tensor representation we obtain simple expressions of matrix equations determining higher order terms.

Keywords: perturbation method; DSGE models (search for similar items in EconPapers)
JEL-codes: C61 C63 E17 (search for similar items in EconPapers)
Date: 2007-07
New Economics Papers: this item is included in nep-cba, nep-cmp, nep-dge, nep-ecm and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/3913/1/MPRA_paper_3913.pdf original version (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:pra:mprapa:3913

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().