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.

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.

l FMI, tramite la redazione di un modulo sulla diffusione dei dati nei Report on Observance of Standards and Codes (ROSCs) fornisce un valido ausilio per l’individuazione dei profili di qualità delle statistiche diffuse dai Paesi. Lo scopo del presente lavoro è quello di proporre le “curve di qualità” quale sintesi grafica delle valutazioni degli standards di qualità operate per alcuni Paesi da un gruppo di esperti del Dipartimento Statistico del FMI e riportate nella Summary del Data Quality Assessment Framework (DQAF). Esse si basano su una procedura di analisi delle corrispondenze multiple. Dalla distribuzione dei punti (comparti di rilevazioni statistiche e requisiti – indicatori) nel piano dei primi due assi vengono tracciati dei grafici con funzioni di tipo noto la cui forma caratterizza la qualità complessiva del Sistema di produzione delle Statistiche mentre l’osservazione della nube dei punti consente di individuare somiglianze e dissomiglianze tra i punti comparto statistico e requisito – indicatore.

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

QUINTANO C;
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/20.500.12570/17555
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