Buda, Rodolphe (2005): Numerical Analysis in Econom(etr)ic Softwares: the Data-Memory Shortage Management.
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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.
Item Type: | MPRA Paper |
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Original Title: | Numerical Analysis in Econom(etr)ic Softwares: the Data-Memory Shortage Management |
Language: | English |
Keywords: | Algorithms ; Numerical Analysis ; Econom(etr)ic Softwares ; Operating System ; Data-Memory ; Data Storage |
Subjects: | C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C82 - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data ; Data Access C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C87 - Econometric Software C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General |
Item ID: | 9145 |
Depositing User: | Rodolphe Buda |
Date Deposited: | 15 Jun 2008 10:12 |
Last Modified: | 26 Sep 2019 14:44 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/9145 |