Cautionary tales of fat tails

IF 1.5 3区 经济学 Q3 ECONOMICS Journal of Macroeconomics Pub Date : 2025-06-01 Epub Date: 2025-04-22 DOI:10.1016/j.jmacro.2025.103679
Chetan Dave , Scott J. Dressler , Samreen Malik
{"title":"Cautionary tales of fat tails","authors":"Chetan Dave ,&nbsp;Scott J. Dressler ,&nbsp;Samreen Malik","doi":"10.1016/j.jmacro.2025.103679","DOIUrl":null,"url":null,"abstract":"<div><div>Distributions of GDP fluctuations that exhibit fat tails shed doubt on the suitability of Normal distributions in empirical and theoretical business-cycle analyses. We document: (i) fat tails in US output fluctuations are not a pervading characteristic of the entire post-war sample, and appear in subsamples exhibiting declines in cyclical and trend volatility (e.g., the Great Moderation); (ii) a DSGE environment featuring Normal shocks that match the declines in observed cyclical and trend volatility can explain almost all of the fat-tailed characteristics observed in the data, leaving little support for the role of rare, large shocks delivering fat-tailed distributions.</div></div>","PeriodicalId":47863,"journal":{"name":"Journal of Macroeconomics","volume":"84 ","pages":"Article 103679"},"PeriodicalIF":1.5000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Macroeconomics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0164070425000163","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/22 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

Distributions of GDP fluctuations that exhibit fat tails shed doubt on the suitability of Normal distributions in empirical and theoretical business-cycle analyses. We document: (i) fat tails in US output fluctuations are not a pervading characteristic of the entire post-war sample, and appear in subsamples exhibiting declines in cyclical and trend volatility (e.g., the Great Moderation); (ii) a DSGE environment featuring Normal shocks that match the declines in observed cyclical and trend volatility can explain almost all of the fat-tailed characteristics observed in the data, leaving little support for the role of rare, large shocks delivering fat-tailed distributions.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
肥尾的警世故事
表现出肥尾的GDP波动分布让人怀疑正态分布在实证和理论商业周期分析中的适用性。我们证明:(i)美国产出波动的肥尾并不是整个战后样本的普遍特征,而是出现在显示周期性和趋势波动性下降的子样本中(例如,大缓和);(ii) DSGE环境具有与观测到的周期波动率和趋势波动率下降相匹配的正常冲击,可以解释数据中观测到的几乎所有肥尾特征,很少支持罕见的大冲击提供肥尾分布的作用。
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 去求助
来源期刊
CiteScore
2.50
自引率
7.10%
发文量
53
审稿时长
76 days
期刊介绍: Since its inception in 1979, the Journal of Macroeconomics has published theoretical and empirical articles that span the entire range of macroeconomics and monetary economics. More specifically, the editors encourage the submission of high quality papers that are concerned with the theoretical or empirical aspects of the following broadly defined topics: economic growth, economic fluctuations, the effects of monetary and fiscal policy, the political aspects of macroeconomics, exchange rate determination and other elements of open economy macroeconomics, the macroeconomics of income inequality, and macroeconomic forecasting.
期刊最新文献
Sailing through uncertainty: Inspecting mechanisms in advanced and developing economies Central bank transparency under adaptive learning empirical evidence from Mexico Political endogeneity Editorial Board Inflation expectations and political polarization: Evidence from the cooperative election study
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1