PROJECT OF STATISTICAL COOPERATION II R. Muiños, I. Valdivia, INDEC – Argentina R. Vallejos, M. Soares, S. Albieri, Z. Bianchini, IBGE, Brazil F. Segui, J. Taulé, INE – Uruguay N. Torres, C. Sosa, DGEEC - Paraguay Minimum Set of Indicators Quality Standard Mercosur

PROJECT OF STATISTICAL COOPERATION II Contents: –Background –Minimun set of indicators –Application of indicators –Future actions

PROJECT OF STATISTICAL COOPERATION II Historically, all the Mercosur NSIs have applied some measurements of quality: Precision measurements in the surveys Levels of fulfillment of publication schedules –Applied in an asystematic way –With different level of development among countries.

PROJECT OF STATISTICAL COOPERATION II MERCOSR ArgentinaUruguayPraguayBrasil

PROJECT OF STATISTICAL COOPERATION II First agreement Project of Statistical Cooperation EC-MERCOSUR and Chile Methodologic study “System of quality indicators as bases for the planning and management of the quality at the NSIs of Mercosur and Chile”. May March 2003 –To develop a unique quality language, a common culture of quality management –To develop a scientific management of quality

PROJECT OF STATISTICAL COOPERATION II Results: Agreement on the quality concept Definition of the basic principles of total quality Identification of the quality dimensions Analysis of the product quality through the analysis of the processes

PROJECT OF STATISTICAL COOPERATION II Second agreement Project of Statistical Cooperation EC-MERCOSUR II Task group – GT 8 – Total Quality of Statistics Mar Sep 2010 International Technical assistance on Total Quality Training Courses –To define and apply a set of common indicators referred to Total Quality in Statistics

PROJECT OF STATISTICAL COOPERATION II Results –Diagnosis of the situation in member countries –GT 8 decided to adopt the quality dimensions proposed by Eurostat (reference) –Minimum set of quality standard indicators

PROJECT OF STATISTICAL COOPERATION II Quality dimensions Relevance Accuracy Punctually and opportunity Accesibility and transparency Coherence

PROJECT OF STATISTICAL COOPERATION II Two kind of indicators: Indicators of immediate application (1) Optional indicators (2)

PROJECT OF STATISTICAL COOPERATION II Relevance – R1. User satisfaction index (2) – R2. Rate of available statistics (2)

PROJECT OF STATISTICAL COOPERATION II Accuracy – A1. Coefficient of variation (1) – A2. Unit response rate (1, 2) – A3. Question response rate (1, 2) – A4. Imputation indicators (1) – A5. Over-coverage rates (1) – A6. Missclassification rates (1)

PROJECT OF STATISTICAL COOPERATION II Puctually and opportunity – Punctually in the publication calendar (1) – Time lag between the end of reference period and the date of the publication results (1) Accessibility and Transparency: – Level of accessibility to information (2) – Web accessibility (2) – Completeness information rates of metadata for the available statistics (2)

PROJECT OF STATISTICAL COOPERATION II Comparability – Length of comparable time series (1) Coherence – Statistics coherence between different periodicity (2) – Statistics coherence in the same socioeconomic frame (2)

PROJECT OF STATISTICAL COOPERATION II Pilot experience of application of the indicators – Definition of a survey for the implementation of the pilot experience. – Presentation and discussion of the results of the process of implementation of the indicators in the survey Deadline: september 2010

PROJECT OF STATISTICAL COOPERATION II Survey for the implementation of the pilot experience INDEC – Argentina –Encuesta Permanente de Hogares (Labor force survey) IBGE – Brasil –Pesquisa de Orçamentos Familiares (Survey of family expenditures) DGEEC – Paraguay –Encuesta Permanente de Hogares (Labor force survey) INE - Uruguay –Índice de Costo de la Construcción (construction price index) –Encuesta Continua de Hogares (Labor force survey)

PROJECT OF STATISTICAL COOPERATION II Experiencies so far in the application of the indicators (Brazil, Uruguay) Difficulties –People in charge of surveys have as exclusive objective, the fulfillment of schedules –Data files are not prepared to perform the calculation of some indicators.

PROJECT OF STATISTICAL COOPERATION II Difficulties –Changes in the state of informant units are not registered systematically –Edited /imputed registries are not marked systematically. –The non-response by questions is not registered systematically.

PROJECT OF STATISTICAL COOPERATION II Experiencies so far in the application of the indicators in a survey (Brazil, Uruguay) Positive –This project has made possible to start the implementation of these quality indicators in the NSIs. –The fact of implementing a system of quality management in a survey, facilitates the calculation of quality indicators –Collaboration from technicians and managers belonging to the supporting areas, has been detected.

PROJECT OF STATISTICAL COOPERATION II Future actions –Evaluation of the implementation of the quality standard indicators in each NSI. –Harmonization of the acceptable quality levels in the proposed standard indicators –Spreading of a minimum set of quality indicators associated to each statistical product –Elaboration or adoption of a Standard of metadata documentation for Mercosur. –Implementation of Systems of Quality Management in the Mercosur NSIs

PROJECT OF STATISTICAL COOPERATION II European UnionMercosur EurostatMercostat