...
首页> 外文期刊>Working Paper Series >A UNIFIED APPROACH TO MEASURING U
【24h】

A UNIFIED APPROACH TO MEASURING U

机译:统一的测量方法

获取原文
   

获取外文期刊封面封底 >>

       

摘要

This paper bridges the gap between two popular approaches to estimating the natural rate of unemployment, u*. The first approach uses detailed labor market indicators such as labor market flows, cross-sectional data on unemployment and vacancies, or various measures of demographic changes. The second approach which comprises reduced form models and DSGE models relies on aggregate price and wage Phillips curve relationships. We combine the key features of these two approaches to estimate the natural rate of unemployment in the United States using both data on labor market flows and a forward-looking Phillips curve linking inflation to current and expected deviations of unemployment from its unobserved natural rate. We estimate that the natural rate of unemployment is around 4.0% toward the end of 2018 and that the unemployment gap is roughly closed. Identification of a secular downward trend in the unemployment rate, driven solely by the inflow rate, facilitates the estimation of u*. We identify the increase in labor force attachment of women, decline in job destruction and reallocation intensity, and dual aging of workers and firms as the main drivers of the secular downward trend in the inflow rate.
机译:本文弥合了估算自然失业率u *的两种流行方法之间的差距。第一种方法使用详细的劳动力市场指标,例如劳动力市场流量,有关失业和职位空缺的横断面数据,或各种人口变化指标。第二种方法包括简化形式模型和DSGE模型,它依赖于总价格和工资菲利普斯曲线关系。我们结合这两种方法的主要特征,使用劳动力市场流量数据和前瞻性菲利普斯曲线来估计美国的自然失业率,该曲线将通货膨胀与失业率与当前失业率与未观察到的自然率的预期偏差联系在一起。我们估计,到2018年底,自然失业率约为4.0%,失业差距已基本消除。识别失业率的长期下降趋势,仅由流入率驱动,有助于对u *的估计。我们认为,女性劳动力依恋的增加,工作破坏和重新分配强度的下降以及工人和公司的双重老龄化是流入率长期下降趋势的主要驱动力。

著录项

  • 来源
    《Working Paper Series》 |2019年第25930期|A1-A11-75|共76页
  • 作者单位

    Capital Markets Function Federal Reserve Bank of New York 33 Liberty Street New York, NY 10045;

    Department of Economics University of Texas at Austin;

    Federal Reserve Bank of Dallas Research Department 2200 N Pearl St. Dallas, TX 75201 United States;

    Department of Economics University of Texas at Austin 2225 Speedway Austin, TX 78712 and NBER;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号