The Conventional Impulse Response Prior in VAR Models With Sign Restrictions

IF 2.5 3区 经济学 Q2 ECONOMICS
Journal of Applied Econometrics Pub Date : 2026-04-05 Epub Date: 2026-02-12 DOI:10.1002/jae.70037
Atsushi Inoue, Lutz Kilian
{"title":"The Conventional Impulse Response Prior in VAR Models With Sign Restrictions","authors":"Atsushi Inoue,&nbsp;Lutz Kilian","doi":"10.1002/jae.70037","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Some studies have expressed concern that the Gaussian-inverse Wishart–Haar prior typically employed in estimating sign-identified VAR models may be unintentionally informative about the prior for the structural responses. We discuss what features to look for in this prior in the absence of specific prior information about the responses, building on the notion of weakly informative priors in Gelman et al. (2013), and in the presence of such information. Empirical examples illustrate that the Gaussian-inverse Wishart–Haar prior need not be unintentionally informative. Even when it is, there are empirically verifiable conditions under which this fact becomes immaterial for the substantive conclusions.</p>\n </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":"41 3","pages":"310-322"},"PeriodicalIF":2.5000,"publicationDate":"2026-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Econometrics","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jae.70037","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/12 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

Some studies have expressed concern that the Gaussian-inverse Wishart–Haar prior typically employed in estimating sign-identified VAR models may be unintentionally informative about the prior for the structural responses. We discuss what features to look for in this prior in the absence of specific prior information about the responses, building on the notion of weakly informative priors in Gelman et al. (2013), and in the presence of such information. Empirical examples illustrate that the Gaussian-inverse Wishart–Haar prior need not be unintentionally informative. Even when it is, there are empirically verifiable conditions under which this fact becomes immaterial for the substantive conclusions.

带符号约束VAR模型的常规脉冲响应先验
一些研究表示担心,通常用于估计符号识别VAR模型的高斯逆Wishart-Haar先验可能无意中提供了结构响应的先验信息。在Gelman等人(2013)提出的弱信息先验概念的基础上,我们讨论了在没有关于响应的特定先验信息的情况下,在存在此类信息的情况下,在该先验中寻找哪些特征。经验例子表明,高斯逆Wishart-Haar先验不一定是无意的信息。即使是这样,也存在经验上可验证的条件,在这些条件下,这一事实对于实质性结论来说变得无关紧要。
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
3.70
自引率
4.80%
发文量
63
期刊介绍: The Journal of Applied Econometrics is an international journal published bi-monthly, plus 1 additional issue (total 7 issues). It aims to publish articles of high quality dealing with the application of existing as well as new econometric techniques to a wide variety of problems in economics and related subjects, covering topics in measurement, estimation, testing, forecasting, and policy analysis. The emphasis is on the careful and rigorous application of econometric techniques and the appropriate interpretation of the results. The economic content of the articles is stressed. A special feature of the Journal is its emphasis on the replicability of results by other researchers. To achieve this aim, authors are expected to make available a complete set of the data used as well as any specialised computer programs employed through a readily accessible medium, preferably in a machine-readable form. The use of microcomputers in applied research and transferability of data is emphasised. The Journal also features occasional sections of short papers re-evaluating previously published papers. The intention of the Journal of Applied Econometrics is to provide an outlet for innovative, quantitative research in economics which cuts across areas of specialisation, involves transferable techniques, and is easily replicable by other researchers. Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged. The Journal also aims to publish review and survey articles that make recent developments in the field of theoretical and applied econometrics more readily accessible to applied economists in general.
×
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:604180095
Book学术官方微信
小红书