State-level wage Phillips curves

G. Kapetanios, S. Price, Menelaos Tasiou, Alexia Ventouri
{"title":"State-level wage Phillips curves","authors":"G. Kapetanios, S. Price, Menelaos Tasiou, Alexia Ventouri","doi":"10.2139/ssrn.3535216","DOIUrl":null,"url":null,"abstract":"Two reduced-form versions of New Keynesian wage Phillips curves based on either sticky nominal wages or real-wage rigidity using monthly US state-level data for the period 1982-2016 are examined, taking account of the endogeneity of unemployment by instrumentation and the use of common correlated effects (CCE) and mean group (MG) methods. This is the first time that this methodology has been applied in this context. These are important issues, as ignoring them may lead to substantial biases. The results show that while the aggregate data do not provide estimates that are consistent with either of the theoretical models examined, the panel methods do. Moreover, use of an appropriate MG CCE estimator leads to economically significant changes in parameters (primarily a steeper Phillips curve) relative to those from inappropriate but widely used panel methods, and in the real-wage rigidity case is required to deliver results that have a theoretically admissible interpretation.","PeriodicalId":127579,"journal":{"name":"ERN: Keynes; Keynesian; Post-Keynesian (Topic)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Keynes; Keynesian; Post-Keynesian (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3535216","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

Two reduced-form versions of New Keynesian wage Phillips curves based on either sticky nominal wages or real-wage rigidity using monthly US state-level data for the period 1982-2016 are examined, taking account of the endogeneity of unemployment by instrumentation and the use of common correlated effects (CCE) and mean group (MG) methods. This is the first time that this methodology has been applied in this context. These are important issues, as ignoring them may lead to substantial biases. The results show that while the aggregate data do not provide estimates that are consistent with either of the theoretical models examined, the panel methods do. Moreover, use of an appropriate MG CCE estimator leads to economically significant changes in parameters (primarily a steeper Phillips curve) relative to those from inappropriate but widely used panel methods, and in the real-wage rigidity case is required to deliver results that have a theoretically admissible interpretation.
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
州一级工资菲利普斯曲线
新凯恩斯工资菲利普斯曲线的两种简化版本基于粘性名义工资或实际工资刚性,使用1982-2016年期间的美国月度州级数据,通过工具和使用共同相关效应(CCE)和平均组(MG)方法考虑到失业的内同性。这是这种方法第一次在这种情况下得到应用。这些都是重要的问题,因为忽视它们可能会导致严重的偏见。结果表明,虽然总体数据不能提供与所检验的理论模型一致的估计,但面板方法可以。此外,与使用不适当但广泛使用的面板方法相比,使用适当的MG CCE估计器会导致参数(主要是更陡峭的菲利普斯曲线)在经济上发生重大变化,并且在实际工资刚性情况下需要提供具有理论上可接受解释的结果。
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
自引率
0.00%
发文量
0
期刊最新文献
Contemporary Macroeconomic Outcomes: A Tragedy in Three Acts The Optimized Monetary Policy ZLB Mandate in NK Behavioural and RE Models Compared A Note Concerning Government Bond Yields Monetary Policy and the Wage Inflation-Unemployment Tradeoff A Quadratic-Cubic Approximation of Optimal Policy
×
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:481959085
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