Macroeconomic Uncertainty Indices for European Countries

Spyridon Boikos, Eirini Makantasi, Theodore Panagiotidis
{"title":"Macroeconomic Uncertainty Indices for European Countries","authors":"Spyridon Boikos, Eirini Makantasi, Theodore Panagiotidis","doi":"10.14195/2183-203x_57_1","DOIUrl":null,"url":null,"abstract":"The present article seeks to develop a macroeconomic uncertainty index for the EU Member States based on Google Trends for a period of fifteen years (from January 2008 to December 2022). Monthly data were collected for the 12 countries for four different word-terms, as well as for unemployment rate, inflation and the 10-year Government Bond yield. For simplifying the research the keywords searched were in English and were not translated into the countries’ own languages. Our findings were then compared to existing uncertainty indices. Lastly, we employed Impulse Response Functions (IRFs) with the existing economic indicators to highlight the effect that one standard deviation shock on the uncertainty index has on all three indicators and its ability to accurately depict the future precariousness of the country.","PeriodicalId":120727,"journal":{"name":"Notas Económicas","volume":"567 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Notas Económicas","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14195/2183-203x_57_1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The present article seeks to develop a macroeconomic uncertainty index for the EU Member States based on Google Trends for a period of fifteen years (from January 2008 to December 2022). Monthly data were collected for the 12 countries for four different word-terms, as well as for unemployment rate, inflation and the 10-year Government Bond yield. For simplifying the research the keywords searched were in English and were not translated into the countries’ own languages. Our findings were then compared to existing uncertainty indices. Lastly, we employed Impulse Response Functions (IRFs) with the existing economic indicators to highlight the effect that one standard deviation shock on the uncertainty index has on all three indicators and its ability to accurately depict the future precariousness of the country.
欧洲国家宏观经济不确定性指数
本文试图根据谷歌趋势为欧盟成员国制定一个为期 15 年(从 2008 年 1 月至 2022 年 12 月)的宏观经济不确定性指数。为 12 个国家收集了四个不同词条的月度数据,以及失业率、通货膨胀率和 10 年期政府债券收益率的月度数据。为简化研究,搜索的关键词均为英文,未翻译成各国自己的语言。然后,我们将研究结果与现有的不确定性指数进行比较。最后,我们利用现有经济指标的脉冲响应函数(IRF)来突出不确定性指数的一个标准差冲击对所有三个指标的影响,以及其准确描述国家未来不稳定性的能力。
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
自引率
0.00%
发文量
0
×
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