Rebuilding of the National Statistical System of Argentina. Some lessons learned1

Q3 Decision Sciences Statistical Journal of the IAOS Pub Date : 2023-01-09 DOI:10.3233/sji-220117
Hernán D. Muñoz, Julien Dupont
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Abstract

From 2007 to 2015, the National Institute of Statistics and Censuses (INDEC) of Argentina underwent damaging political interventions, which undermined the institution and the quality of its products and services, leading to a widespread distrust of the official statistics of the country. In January 2016, a presidential Decree declared a state of administrative emergency in the National Statistical System (NSS), allowing the recently appointed Director General of INDEC, to reorganise the agency and the NSS. To this end, INDEC authorities implemented several strategic, legal and operational actions in order to recover and develop the statistical capacity. The modernisation of the statistical legislation represented an important objective of this process and a draft law was prepared drawing especially on the Generic Law on Official Statistics (UNECE), the Fundamental Principles of Official Statistics (UN), and the OECD Recommendation on Good Statistical Practice. This paper presents the main actions taken to recover the Argentinian statistical system, and derives the lessons learned.
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重建阿根廷国家统计系统。一些经验教训1
从2007年到2015年,阿根廷国家统计和人口普查研究所(INDEC)经历了破坏性的政治干预,破坏了该机构及其产品和服务的质量,导致人们普遍不信任该国的官方统计数据。2016年1月,一项总统令宣布国家统计系统进入行政紧急状态,允许最近任命的国家统计委员会总干事重组该机构和国家统计系统。为此,国家统计局当局采取了若干战略、法律和业务行动,以恢复和发展统计能力。统计立法的现代化是这一进程的一个重要目标,特别是根据《通用官方统计法》(UNECE)、《官方统计基本原则》(UN)和《经合组织良好统计做法建议》起草了一项法律草案。本文介绍了为恢复阿根廷统计系统而采取的主要行动,并总结了经验教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Statistical Journal of the IAOS
Statistical Journal of the IAOS Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.30
自引率
0.00%
发文量
116
期刊介绍: This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.
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