The IMF, by drawing up a form of dissemination of data in the Report on Observance of Standards and Codes (ROSCs) supplied a valid form of help for the identification of the profiles of quality of the statistics disseminated by the countries. The aim of this study is to propose the "quality curves" as a graphic summary of the assessment of quality standards made for some countries by a group of experts from the IMF Statistics Department and included in the Summary Presentation of the Data Quality Assessment Framework (DQAF). These are based on the procedure of Multiple correspondence analysis. From the distribution of points (macroeconomic datasets of statistical findings and elements) on the plane of the first two factors, graphs are formed with known functions, whoe shape characterises the overall quality of the statistics production system while the observation of the cloud of points allows similarities and dissimilarities between the macroeconomics dataset of statistics and elements points to be identified.

Inter-Country Comaprison of IMF Experts’reports on Economic data Quality

QUINTANO, Claudio;SCANDURRA, GIUSEPPE
2002

Abstract

The IMF, by drawing up a form of dissemination of data in the Report on Observance of Standards and Codes (ROSCs) supplied a valid form of help for the identification of the profiles of quality of the statistics disseminated by the countries. The aim of this study is to propose the "quality curves" as a graphic summary of the assessment of quality standards made for some countries by a group of experts from the IMF Statistics Department and included in the Summary Presentation of the Data Quality Assessment Framework (DQAF). These are based on the procedure of Multiple correspondence analysis. From the distribution of points (macroeconomic datasets of statistical findings and elements) on the plane of the first two factors, graphs are formed with known functions, whoe shape characterises the overall quality of the statistics production system while the observation of the cloud of points allows similarities and dissimilarities between the macroeconomics dataset of statistics and elements points to be identified.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11367/3458
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