Information Content of DQAF Indicators: Empirical Entropy Analysis
September 1, 2010
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Summary
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.
Subject: Consumer price indexes, Data Quality Assessment Framework (DQAF), Financial statistics, Government finance statistics, Monetary statistics
Keywords: data set, information content, WP
Pages:
25
Volume:
2010
DOI:
Issue:
204
Series:
Working Paper No. 2010/204
Stock No:
WPIEA2010204
ISBN:
9781455205356
ISSN:
1018-5941
