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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.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 9145.

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Date of creation: 2005
Date of revision: 2007
Handle: RePEc:pra:mprapa:9145

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Keywords: Algorithms ; Numerical Analysis ; Econom(etr)ic Softwares ; Operating System ; Data-Memory ; Data Storage;

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References

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  1. 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 9.
  2. Hans M. Amman & David A. Kendrick, 1995. "Programming Languages in Economics," CARE Working Papers 9504, The University of Texas at Austin, Center for Applied Research in Economics.
  3. Tesfatsion, Leigh S., 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," Staff General Research Papers 5075, Iowa State University, Department of Economics.
  4. Nerlove, Marc, 2003. "Programming Languages: A Short History For Economists," Working Papers 28555, University of Maryland, Department of Agricultural and Resource Economics.
  5. Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, SUNY-Oswego, Department of Economics, number comp1, Spring.
  6. Cribari-Neto, Francisco, 1999. "C for Econometricians," Computational Economics, Society for Computational Economics, vol. 14(1-2), pages 135-49, October.
  7. 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.
  8. Fair, Ray C., 1996. "Computational methods for macroeconometric models," Handbook of Computational Economics, Elsevier, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 3, pages 143-169 Elsevier.
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Cited by:
  1. Rodolphe Buda, 2008. "Two Dimensional Aggregation Procedure: An Alternative to the Matrix Algebraic Algorithm," Computational Economics, Society for Computational Economics, vol. 31(4), pages 397-408, May.

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