拯救菲利普斯曲线:利用长期失业来衡量NAIRU

Elena Rusticelli
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引用次数: 32

摘要

尽管经周期性调整的劳动力市场疲软指标对政策制定的重要性日益增强,但对NAIRU的估计已变得越来越脆弱。特别是对欧元区国家而言,NAIRU估算是计算周期调整预算余额的重要输入,该预算余额用于制定欧盟财政监督框架下的中期财政目标。然而,通货膨胀对劳动力市场动态和失业缺口的敏感性明显降低,严重破坏了菲利普斯曲线方程在估计NAIRU时的使用。在失业率变化非常大且迅速的情况下(如全球危机之后),对NAIRU的估计尤其成问题。本文提出了一种改进的标准经合组织的方法,使用卡尔曼滤波器估计NAIRU在菲利普斯曲线的背景下。通过考虑与长期失业变化相关的滞后效应风险,拟议的改进加强了通货膨胀与劳动力市场发展之间的关系。在广泛选择的经合组织国家中测试修订后的方法得出了不同的结果。对于欧元区外围的一些国家(希腊、爱尔兰、意大利、葡萄牙和西班牙)来说,失业率差距的幅度和统计意义都有所增加,NAIRU平均向上修正了1.34个百分点。但是,订正的方法对第二组所考虑的国家,即不包括意大利的七国集团的标准经合发组织方法改进较少。美国是一个有趣的中间案例,因为所提议的方法的统计证据很少,但订正的国家空气资源单位点估计的政策影响是重大的。JEL分类:C32、E24、E31、E32、J64。关键词:长期失业,平坦化菲利普斯曲线,NAIRU,欧元区外围,卡尔曼滤波。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rescuing the Phillips curve: Making use of long-term unemployment in the measurement of the NAIRU
Despite the increased importance of cyclically-adjusted measures of labour market slack for policymaking, estimates of the NAIRU have become increasingly fragile. Particularly for euro area countries, NAIRU estimates represent a crucial input to compute cyclically-adjusted budget balances adopted to formulate medium-term fiscal objectives under the EU fiscal surveillance framework. However, the apparent reduced sensitivity of inflation to labour market dynamics and unemployment gaps seriously undermines the use of Phillips curve equations in estimating the NAIRU. Estimates of the NAIRU are particularly problematic when changes in unemployment are both very large and rapid as in the aftermath of the global crisis. This paper proposes a refinement to the standard OECD approach of using a Kalman filter to estimate the NAIRU in the context of the Phillips curve. The proposed refinement strengthens the relationship between inflation and labour market developments by considering the risk of hysteresis effects associated with changes in long-term unemployment. Testing the revised methodology on a broad selection of OECD countries gives mixed results. For a group of countries in the euro area periphery (Greece, Ireland, Italy, Portugal and Spain) there is an increase in the magnitude and statistical significance of the unemployment gap, with the NAIRU revised upward by on average 1¾ percentage points. However, the revised methodology provides less improvement to the standard OECD methodology for a second set of countries considered, namely the G7 excluding Italy. The United States is an interesting intermediate case as the statistical evidence for the proposed methodology is marginal, but the policy implications of the revised point estimate of the NAIRU are major. JEL classification: C32, E24, E31, E32, J64. Keywords: Long-term unemployment, flattening Phillips curve, NAIRU, euro area periphery, Kalman filter.
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