Numerical Analysis in Econom(etr)ic Softwares: the Data-Memory Shortage Management
AbstractThe 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 InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 9145.
Date of creation: 2005
Date of revision: 2007
Algorithms ; Numerical Analysis ; Econom(etr)ic Softwares ; Operating System ; Data-Memory ; Data Storage;
Find related papers by 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
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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.
- 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.
- Nerlove, Marc, 2003. "Programming Languages: A Short History For Economists," Working Papers 28555, University of Maryland, Department of Agricultural and Resource Economics.
- Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, SUNY-Oswego, Department of Economics, number comp1, Spring.
- Cribari-Neto, Francisco, 1999. "C for Econometricians," Computational Economics, Society for Computational Economics, vol. 14(1-2), pages 135-49, October.
- 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.
- 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.
- 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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