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Relevance of an accuracy control module - implementation into an economic modelling software

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  • Buda, Rodolphe

Abstract

Economic modelers or econometricians know that they have to control the accuracy of the computations, to get their results safe. Unfortunately, even if a few softwares allow to control it (especially in using an interval arithmetic), most of them are presented like black boxes, from an arithmetical point of view. We have tried, in this paper, to provide the point of view of a macroeconomic modelling software’s builder. After having recalled the accuracy problem and its solutions (algebraic and arithmetical), we'll present the GNOMBR software we have developed, based on multiple precision arithmetic methods. Then we'll present an application to an input-output model. Then we'll give elements to conclude to the relevance of this technique.

Suggested Citation

  • Buda, Rodolphe, 2005. "Relevance of an accuracy control module - implementation into an economic modelling software," MPRA Paper 36520, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:36520
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    File URL: https://mpra.ub.uni-muenchen.de/36520/1/MPRA_paper_36520.pdf
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    References listed on IDEAS

    as
    1. Buda, Rodolphe, 2001. "Les algorithmes de la modélisation : une analyse critique pour la modélisation économique," MPRA Paper 3926, University Library of Munich, Germany, revised Jul 2004.
    2. Jerrell, Max E, 1997. "Interval Arithmetic for Input-Output Models with Inexact Data," Computational Economics, Springer;Society for Computational Economics, vol. 10(1), pages 89-100, February.
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    Citations

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    Cited by:

    1. Rodolphe Buda, 2013. "SIMUL 3.2: An Econometric Tool for Multidimensional Modelling," Computational Economics, Springer;Society for Computational Economics, vol. 41(4), pages 517-524, April.
    2. Rodolphe Buda, 2015. "Data Checking and Econometric Software Development: A Technique of Traceability by Fictive Data Encoding," Computational Economics, Springer;Society for Computational Economics, vol. 46(2), pages 325-357, August.

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    More about this item

    Keywords

    Modelling software ; Floating point arithmetic ; Accuracy Results Control ; Arithmetic Accuracy Computer;
    All these keywords.

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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