Economics at your fingertips  

Divergences in the results of stochastic and deterministic simulation of an Italian non linear econometric model

Carlo Bianchi (), Giorgio Calzolari and Paolo Corsi

MPRA Paper from University Library of Munich, Germany

Abstract: The importance of the simulation (both deterministic and stochastic) in the validation process of a non linear econometric model is underlined. Synthetic results of a large set of simulations on a non linear model of the Italian economy are presented. The benefits and the risks of the stochastic simulation are discussed, with particular emphasis on the problem of the existence of divergences in the results of the two methods of simulation.

Keywords: Stochastic simulation; nonlinear econometric model; divergences of results; model of the Italian economy (search for similar items in EconPapers)
JEL-codes: C15 C30 (search for similar items in EconPapers)
Date: 1976
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13) Track citations by RSS feed

Published in Simulation of Systems (1976): pp. 653-661

Downloads: (external link) 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:

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 ().

Page updated 2020-07-01
Handle: RePEc:pra:mprapa:21287