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Data Checking and Econometric Software Development: A Technique of Traceability by Fictive Data Encoding

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  • Rodolphe Buda

Abstract

In this paper, we have exposed the data checking problem in the context of the econometric software development. We have based our presentation on the development of our SIMUL multidimensional econometric software. We have shown that this problem is particularly important when one develops multi-dimensional econometric software. Then, we have briefly recalled the principle of the main arithmetical and managerial techniques available to deal with this problem. Finally, we have presented the data checking procedures we have conceived based on a fictive data encoding technique. Copyright Springer Science+Business Media New York 2015

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  • 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.
    • Handle: RePEc:kap:compec:v:46:y:2015:i:2:p:325-357
    DOI: 10.1007/s10614-014-9446-7
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    More about this item

    Keywords

    Data bank; Data location checking; Data encoding; Econometric software; C81; C82; C87;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • 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

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