EconPapers    
Economics at your fingertips  
 

Stochastic Simulations of a Non-Linear Phillips Curve Model

Michel Juillard () and Fabrice Collard ()

No 144, Computing in Economics and Finance 1999 from Society for Computational Economics

Abstract: This paper presents stochastic simulations of a non-linear Phillips curve model with a random shock on the labor market, a random shock on inflation, and 20 state variables to represent a rather complex dynamical adjustment. Various methods are used to perform the simulations: two approaches to parameterized-expectations and a high-order Taylor expansion. The effects of non-linearity are then evaluated by a comparison with a linearized version of the model.

New Economics Papers: this item is included in nep-ets
Date: 1999-03-01
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed

Downloads: (external link)
http://www.cepremap.cnrs.fr/~michel/feb99/coljui.pdf main text (application/pdf)
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to www.cepremap.cnrs.fr:80 (Bad hostname 'www.cepremap.cnrs.fr')

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: http://EconPapers.repec.org/RePEc:sce:scecf9:144

Access Statistics for this paper

More papers in Computing in Economics and Finance 1999 from Society for Computational Economics
Address: CEF99, Boston College, Department of Economics, Chestnut Hill MA 02467 USA
Contact information at EDIRC.
Series data maintained by Christopher F. Baum ().

 
Page updated 2013-04-17
Handle: RePEc:sce:scecf9:144