Governments manipulate official Statistics: Institutions matter

IF 2.3 3区 经济学 Q2 ECONOMICS
Andre Briviba , Bruno Frey , Louis Moser , Sandro Bieri
{"title":"Governments manipulate official Statistics: Institutions matter","authors":"Andre Briviba ,&nbsp;Bruno Frey ,&nbsp;Louis Moser ,&nbsp;Sandro Bieri","doi":"10.1016/j.ejpoleco.2024.102523","DOIUrl":null,"url":null,"abstract":"<div><p>Many governments have been reported to systematically manipulate official statistics. However, scholarly research has not extensively dealt with the determinants of data manipulation, beyond the effect of autocracy. We extend the literature by including institutional factors hypothetically affecting data manipulation. Regressing the gap between GDP – predicted by night-time lighting data – and „official“ GDP on these institutional factors suggests that economic openness and democracy decrease manipulation, while decentralization increases manipulation. Political openness decreases manipulation for countries under-reporting GDP and increases manipulation for countries over-reporting GDP. Surprisingly, no effects are found for press freedom and the independence of the statistical office.</p></div>","PeriodicalId":51439,"journal":{"name":"European Journal of Political Economy","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0176268024000259/pdfft?md5=868d66b78c5ebff2ea9cc0c34a26e5c3&pid=1-s2.0-S0176268024000259-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Political Economy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0176268024000259","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

Many governments have been reported to systematically manipulate official statistics. However, scholarly research has not extensively dealt with the determinants of data manipulation, beyond the effect of autocracy. We extend the literature by including institutional factors hypothetically affecting data manipulation. Regressing the gap between GDP – predicted by night-time lighting data – and „official“ GDP on these institutional factors suggests that economic openness and democracy decrease manipulation, while decentralization increases manipulation. Political openness decreases manipulation for countries under-reporting GDP and increases manipulation for countries over-reporting GDP. Surprisingly, no effects are found for press freedom and the independence of the statistical office.

Abstract Image

政府操纵官方统计数据:机构很重要
据报道,许多国家的政府系统地操纵官方统计数据。然而,除了专制的影响之外,学术研究尚未广泛涉及数据操纵的决定因素。我们将假定影响数据操纵的制度因素纳入其中,从而扩展了相关文献。将夜间照明数据预测的 GDP 与 "官方 "GDP 之间的差距与这些制度因素进行回归,结果表明,经济开放和民主会减少数据操纵,而权力下放会增加数据操纵。对于少报 GDP 的国家,政治开放度会减少操纵行为,而对于多报 GDP 的国家,政治开放度会增加操纵行为。令人惊讶的是,新闻自由和统计局的独立性没有产生任何影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.40
自引率
10.00%
发文量
106
期刊介绍: The aim of the European Journal of Political Economy is to disseminate original theoretical and empirical research on economic phenomena within a scope that encompasses collective decision making, political behavior, and the role of institutions. Contributions are invited from the international community of researchers. Manuscripts must be published in English. Starting 2008, the European Journal of Political Economy is indexed in the Social Sciences Citation Index published by Thomson Scientific (formerly ISI).
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信