Abstract
The simulation of large-scale macroeconometric models may be considered as a solved problem, given the performance of the computers available at present. This is probably true if we run single simulations on a model. However, if it comes to solving a model repeatedly a large number of times, as is the case for stochastic simulation, optimal control or the evaluation of forecast errors, the time necessary to execute this task on a computer can become excessively large. Another situation in which we need even more efficient solution procedures arises when we want to explore the behavior of a model with respect to continuous changes in the parameters or exogenous variables.
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© 1997 Springer Science+Business Media Dordrecht
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Pauletto, G. (1997). Model Simulation on Parallel Computers. In: Computational Solution of Large-Scale Macroeconometric Models. Advances in Computational Economics, vol 7. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2631-2_4
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DOI: https://doi.org/10.1007/978-1-4757-2631-2_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4778-9
Online ISBN: 978-1-4757-2631-2
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