By Manuel Stagars
This e-book explores the reliability of reputable statistical facts within the ASEAN (the organization of Southeast Asian Nations), and some great benefits of a greater vocabulary to debate the standard of publicly to be had info to deal with the desires of all clients. It introduces a rigorous technique to disaggregate and expense facts caliber into significant components containing a complete of ten dimensions, which serves because the foundation for a dialogue at the possibilities and demanding situations for info caliber, skill construction courses and knowledge coverage in Southeast Asia. instruments to standardize and display screen statistical means and information caliber are offered, in addition to tools and information assets to examine information caliber. The publication analyses information caliber in Indonesia, Malaysia, Singapore, the Philippines, Thailand, Vietnam, Brunei, Laos, Cambodia, and Myanmar, ahead of concluding with strategies on Open info and the ASEAN financial neighborhood (AEC).
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Additional resources for Data Quality in Southeast Asia: Analysis of Official Statistics and Their Institutional Framework as a Basis for Capacity Building and Policy Making in the ASEAN
20 However, statistical yearbooks report several vital statistics including marriages, divorces, and occurrence of diseases, but lack others. The statistical capacity indicator for source data is consistent (Fig. 2). 1 receives a rating of six. Through the statistical community forum, feedback loops exist between Indonesian statistical outputs and the BPS that allow the agency to monitor user satisfaction. BPS is responsive to email inquiries and has been available by phone for this analysis. Processes are in place to consult users 40 M.
Mandate for data collection 12 M. aspx, date accessed 21 September 2015 3. Adequacy of resources 4. Commitment to quality 5. Statistical confidentiality 6. Impartiality and objectivity (B) Statistical processes 7. Sound methodology 8. Appropriate statistical procedures 9. Non-excessive burden on respondents 10. 4 Differences between GDDS and SDDS GDDS Focus Participation Time line SDDS General quality improvement and Quality improvement in recommendations on good practice for the countries that already meet production and dissemination of statistics; high data quality standards; emphasis on voluntary progress toward more prescriptive than the better quality data, more frequent, and GDDS timely statistics Open to all IMF members Open to members having or seeking access to international capital markets No future dates by which participants mustSubscribers must fully meet complete improvements in existing the requirements of the practices SDDS at the time of subscription (C) Statistical outputs 11.
At the same time, European statistical legislation refers to the code on several occasions, giving it additional weight. 17 The code sets out guidelines and standards for the development, production, dissemination, communication, and quality control of statistical products, and services. Loosely following the 14 M. STAGARS European Statistics Code of Practice, the structure of the ACSS code outlines eight key principles under three headings: (A) Institutional environment 1. Mandate for data collection 2.