Bianchi, Carlo and Calzolari, Giorgio and Corsi, Paolo (1976): Monte Carlo methods in econometrics: a package for the stochastic simulation. Published in: Paper presented at the Congres Europeen des Statisticiens. Universite Scientifique et Medicale de Grenoble, (September 1976): pp. 1-10.
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Abstract
In this paper, a package implemented at the Scientific Center of IBM Italy in Pisa for the stochastic simulation of linear and non-linear econometric models is presented. After a survey on the adopted methodologies, the input requirements and the produced output are described in some details, using as a sample the Klein model-l. To finish, the performances of the program are analyzed in terms of storage requirements and computation time.
Item Type: | MPRA Paper |
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Original Title: | Monte Carlo methods in econometrics: a package for the stochastic simulation |
Language: | English |
Keywords: | Monte Carlo; econometric models; stochastic simulation |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling |
Item ID: | 24538 |
Depositing User: | Giorgio Calzolari |
Date Deposited: | 04 Sep 2010 15:40 |
Last Modified: | 11 Oct 2019 12:33 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/24538 |