Stochastic simulation as a validation tool for econometric models
The complete validation of an econometric model is a process which involves a formidable number of activities in the various steps of model building, like economic structure specification, test of hypothesis and parameter estimation, simulation behaviour and decision making. Our attention will be mainly focussed on some aspects related to simulation and decision making; in particular, the purpose of this paper is to analyze some problems of the validation process for which stochastic simulation can be profitably used.
|Date of creation:||15 Sep 1977|
|Publication status:||Published in Models for regional planning and policy-making: proceedings of the joint IBM/IIASA conference (1977): pp. 359-369|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
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- Fromm, Gary & Klein, Lawrence R, 1973. "A Comparison of Eleven Econometric Models of the United States," American Economic Review, American Economic Association, vol. 63(2), pages 385-393, May.
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- Calzolari, Giorgio & Ciriani, Tito A. & Corsi, Paolo, 1976. "Generation and testing of pseudo-random numbers to be used in the stochastic simulation of econometric models," MPRA Paper 24172, University Library of Munich, Germany.
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