Information Content of DQAF Indicators : Empirical Entropy Analysis /

The study presents an analysis of the information content of IMF's Data Quality Assessment Framework (DQAF) indicators. There are significant differences in the quantity of information between DQAF dimensions and sub-dimensions. The most informative DQAF dimension is accessibility, followed by...

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Détails bibliographiques
Auteur principal: Mrkaic, Mico
Format: Revue
Langue:English
Publié: Washington, D.C. : International Monetary Fund, 2010.
Collection:IMF Working Papers; Working Paper ; No. 2010/204
Accès en ligne:Full text available on IMF
Description
Résumé:The study presents an analysis of the information content of IMF's Data Quality Assessment Framework (DQAF) indicators. There are significant differences in the quantity of information between DQAF dimensions and sub-dimensions. The most informative DQAF dimension is accessibility, followed by the prerequisites of quality and accuracy and reliability. The least informative DQAF dimensions are serviceability and assurances of integrity. The implication of these findings is that the current DQAF indicators do not maximize the amount of information that could be obtained during data ROSC missions. An additional set of assessments that would refine the existing DQAF indicators would be beneficial in maximizing the information gathered during data ROSC mission. The entropy of DQAF indicators could also be used in the construction of a cardinal index of data quality.
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Description matérielle:1 online resource (25 pages)
Format:Mode of access: Internet
ISSN:1018-5941
Accès:Electronic access restricted to authorized BRAC University faculty, staff and students