Divergences in the results of stochastic and deterministic simulation of an Italian non linear econometric model
Carlo Bianchi (),
Giorgio Calzolari and
MPRA Paper from University Library of Munich, Germany
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)
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Published in Simulation of Systems (1976): pp. 653-661
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:21287
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