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Numerical Analysis in Econom(etr)ic Softwares: the Data-Memory Shortage Management

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  • Buda, Rodolphe

Abstract

The econometricians and the economic modelers have to know and use numerical analysis not only to have a good understanding of their results, but sometimes to built their own tools. The increasing tendency to the use of large-scale models leads the softwares to reach the limit of the saturation of the Data-Memory. In this paper, we present an intuitive procedure DMT - i.e. Disk-Matrix Technique - which could help econom(etr)ic software developers to correct the problem of the data-memory shortage during the building of their own software.

Suggested Citation

  • Buda, Rodolphe, 2005. "Numerical Analysis in Econom(etr)ic Softwares: the Data-Memory Shortage Management," MPRA Paper 9145, University Library of Munich, Germany, revised 2007.
    • Handle: RePEc:pra:mprapa:9145
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    References listed on IDEAS

    as
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    3. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    4. 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.
    5. Nerlove, Marc, 2003. "Programming Languages: A Short History For Economists," Working Papers 28555, University of Maryland, Department of Agricultural and Resource Economics.
    6. Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, number comp1.
    7. Cribari-Neto, Francisco, 1999. "C for Econometricians," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 135-149, October.
    8. Stephen Wendel & Catherine Dibble, 2007. "Dynamic Agent Compression," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-9.
    9. Fair, Ray C., 1996. "Computational methods for macroeconometric models," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 3, pages 143-169, Elsevier.
    Full references (including those not matched with items on IDEAS)

    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, 2008. "Two Dimensional Aggregation Procedure: An Alternative to the Matrix Algebraic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 31(4), pages 397-408, May.

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    More about this item

    Keywords

    Algorithms ; Numerical Analysis ; Econom(etr)ic Softwares ; Operating System ; Data-Memory ; Data Storage;
    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
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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