采访雷蒙德·明克，关于他的书《官方统计——政治的玩物?》论政治、官方统计和伦理原则的相互作用

Q3 Decision Sciences

Statistical Journal of the IAOS Pub Date : 2023-09-12 DOI:10.3233/sji-230057

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引用次数: 0

摘要

欧洲央行前职员雷蒙德•明克最近出版了《官方统计——政治的玩物?》论政治、官方统计和伦理原则的相互作用。芬兰在欧洲以及许多非欧洲国家的政府财政统计方面的经验，为官方统计在政治中所扮演的角色提供了丰富的反思和教训。他的书非常详细地介绍了官方统计数据的背景和作用及其政治用途的细节。联合国经济和社会事务部统计司前经济统计助理主任、管理合伙人、学者、现任可持续发展统计信息系统高级顾问伊沃·哈文加愿意采访作者雷蒙德·明克。

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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Interview with Reimund Mink, about his book ‘Official Statistics – A Plaything of Politics? On the interaction of Politics, Official Statistics, and Ethical Principles’1

Reimund Mink, a former employee from the European Central Bank recently published the book ‘Official Statistics – A Plaything of Politics? On the interaction of Politics, Official Statistics, and Ethical Principles’. The experience from Reimund with government finance statistics in European but also in many non-European countries is a rich source for dedicated reflections and lessons to learn from the roles that official statistics, (can) play in politics. His book informs in great detail on the backgrounds for and details of the role of official statistics and their political use. Ivo Havinga, former Assistant Director Economics Statistics of the United Nations Statistics Division, Department of Economic and Social Affairs, managing partner, and academic, and present senior advisor in statistical information systems for sustainable development, was found willing to interview the author Reimund Mink.

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来源期刊

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.