Titlebook: Data Quality in Southeast Asia; Analysis of Official Manuel Stagars Book 2016 The Editor(s) (if applicable) and The Author(s) 2016 Assesmen

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Jiří Kindl M.Jur, Ph.D.,Michal Petr Ph.D.and approaches to operating their statistical systems, and some of their guidelines may help or hinder statistical development. Understanding the complexity of statistical systems and robust methods to evaluate and discuss them is mandatory for building statistical capacity and effectively formulating data policy.

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Introduction,ent, the private and financial sectors, the scientific community, and the public. However, the enthusiasm concerning the data revolution has leapt ahead of a reasoned consideration of data quality, and discussing the reliability of official statistics can be a political minefield. To better address

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Tools to Standardize and Monitor Statistical Capacity and Data Quality, System of National Accounts, the International Monetary Fund Data Dissemination Standards, the Codes of Practice of the European Statistical System, and the ASEAN Community Statistical System. This chapter concludes with an introduction to the Statistical Capacity Indicator of the World Bank, which

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Method and Data Sources to Analyze Data Quality in the ASEAN,to disaggregate quality into these principal factors containing ten dimensions in total, each with several indicators. Indicators receive ratings, whose sum makes up the total rating of the publicly available official statistics of a country. The ACSS Code of Practice and the European Statistics Cod

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