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Information Content of DQAF Indicators :, Empirical Entropy Analysis, Mico Mrkaic

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
Table Of Contents
Contents; I. Introduction; A. The quality of macroeconomic data; B. The Data Quality Assessment Framework; II. Measuring the Quantity of Information; III. The Data Set; IV. Results; A. Computing the Sample Variance of Entropies; Using the Delta Method; Tables; 1: Frequencies of DQAF indicators by data sets; Small Population Variance Adjustments; B. Entropy of Individual DQAF Indicators; 2: Average Information per Indicator in bits (average across data sets); C. Kullback-Leibler Divergences between Datasets; V. The Discussion
Literary Form
non fiction
"September 2010."
Physical Description
1 online resource (27 p.)
Specific Material Designation
Form Of Item

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