Information Content of DQAF Indicators: Empirical Entropy Analysis

September 1, 2010

Preview Citation

Format: Chicago

Mico Mrkaic. Information Content of DQAF Indicators: Empirical Entropy Analysis, (USA: International Monetary Fund, 2010) accessed November 21, 2024

Disclaimer: This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate

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

Publication Details

Pages:

25
Volume:

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DOI:

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Issue:

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Series:

Working Paper No. 2010/204
Stock No:

WPIEA2010204
ISBN:

9781455205356
ISSN:

1018-5941

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