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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book explores the reliability of official statistical data in the ASEAN (the Association of Southeast Asian Nations), and the benefits of a better vocabulary to discuss the quality of publicly available data to address the needs of all users. It introduces a rigorous method to disaggregate and rate data quality into principal factors containing a total of ten dimensions, which serves as the basis for a discussion on the opportunities and challenges for data quality, capacity building programs and data policy in Southeast Asia. Tools to standardize and monitor statistical capacity and data quality are presented, as well as methods and data sources to analyse data quality. The book analyses data quality in Indonesia, Malaysia, Singapore, the Philippines, Thailand, Vietnam, Brunei, Laos, Cambodia, and Myanmar, before concluding with thoughts on Open Data and the ASEAN Economic Community (AEC).
Authors and Affiliations
About the author
Manuel Stagars is an economist and senior researcher at Singapore-ETH Centre (SEC), interested in the technological and institutional aspects of data and data policy with a focus on emerging and frontier economies in Southeast Asia.
Bibliographic Information
Book Title: Data Quality in Southeast Asia
Book Subtitle: Analysis of Official Statistics and Their Institutional Framework as a Basis for Capacity Building and Policy Making in the ASEAN
Authors: Manuel Stagars
DOI: https://doi.org/10.1057/978-1-137-60063-9
Publisher: Palgrave Macmillan London
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2016
Hardcover ISBN: 978-1-137-60062-2Published: 14 January 2016
eBook ISBN: 978-1-137-60063-9Published: 16 June 2016
Edition Number: 1
Number of Pages: XXIV, 196
Number of Illustrations: 36 b/w illustrations
Topics: Asian Economics, Economic Growth, Development Economics, International Economics, Economic Policy, Statistics for Business, Management, Economics, Finance, Insurance