欧元区通货膨胀条件分布的不对称性

A. Tagliabracci
{"title":"欧元区通货膨胀条件分布的不对称性","authors":"A. Tagliabracci","doi":"10.2139/ssrn.3612940","DOIUrl":null,"url":null,"abstract":"Macroeconomic conditions are among the key determinants of the inflation outlook. This paper studies how business cycles affect the conditional distribution of euro-area inflation forecasts. Using a quantile regression approach, I estimate the conditional distribution of inflation to assess the impact of business cycle conditions over time and the possible asymmetries across quantiles of inflation. Interestingly, downside risks to inflation forecasts are related to the business cycle while upside risks are instead relatively stable over time and are not affected by the state of the economy.","PeriodicalId":291048,"journal":{"name":"ERN: Business Fluctuations; Cycles (Topic)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Asymmetry in the Conditional Distribution of Euro-area Inflation\",\"authors\":\"A. Tagliabracci\",\"doi\":\"10.2139/ssrn.3612940\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Macroeconomic conditions are among the key determinants of the inflation outlook. This paper studies how business cycles affect the conditional distribution of euro-area inflation forecasts. Using a quantile regression approach, I estimate the conditional distribution of inflation to assess the impact of business cycle conditions over time and the possible asymmetries across quantiles of inflation. Interestingly, downside risks to inflation forecasts are related to the business cycle while upside risks are instead relatively stable over time and are not affected by the state of the economy.\",\"PeriodicalId\":291048,\"journal\":{\"name\":\"ERN: Business Fluctuations; Cycles (Topic)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Business Fluctuations; Cycles (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3612940\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Business Fluctuations; Cycles (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3612940","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23

摘要

宏观经济状况是通胀前景的关键决定因素之一。本文研究了经济周期如何影响欧元区通胀预测的条件分布。使用分位数回归方法,我估计通货膨胀的条件分布,以评估商业周期条件随时间的影响以及通货膨胀分位数之间可能存在的不对称性。有趣的是,通胀预测的下行风险与商业周期有关,而上行风险随着时间的推移相对稳定,不受经济状况的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Asymmetry in the Conditional Distribution of Euro-area Inflation
Macroeconomic conditions are among the key determinants of the inflation outlook. This paper studies how business cycles affect the conditional distribution of euro-area inflation forecasts. Using a quantile regression approach, I estimate the conditional distribution of inflation to assess the impact of business cycle conditions over time and the possible asymmetries across quantiles of inflation. Interestingly, downside risks to inflation forecasts are related to the business cycle while upside risks are instead relatively stable over time and are not affected by the state of the economy.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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