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An output gap measure for the euro area: Exploiting country-level and cross-sectional data heterogeneity

机译:欧元区的产出缺口措施:利用国家级和横截面数据异质性

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This paper proposes a methodology to estimate the euro-area output gap by taking advantage of two types of data heterogeneity. On the one hand, the method uses information on real GDP, inflation, and the unemployment rate for each member state; on the other hand, it jointly considers this information for all the euro-area countries to extract an area-wide output gap measure. The setup is an unobserved components model that theorizes common output trend and cyclical components across euro-area economies in addition to country-specific counterparts. I estimate the model with Bayesian methods using data for the 19 countries of the euro area from 2000:Q1 through 2018:Q3 and perform model comparisons across different specifications of the output trend. The estimation of the model preferred by the data indicates that, because of negative shocks to trend output during the Global Financial Crisis, output was only slightly below potential in that period, but an output gap of about negative 3% emerged during the European debt crisis. At the end of the sample period, output is estimated to be 3.5% above potential output, which is growing at an average annual pace of only 0.5% in recent years. Published by Elsevier B.V.
机译:本文提出了一种通过利用两种类型的数据异质性来估算欧洲地区输出差距的方法。一方面,该方法使用关于实际GDP,通货膨胀和每个成员国的失业率的信息;另一方面,它共同考虑了所有欧元区国家的这些信息,以提取领域宽的产出缺口措施。该设置是一种不观察到的组件模型,除了国家特定的同行之外,还可以通过欧元区经济体提供欧洲区域经济的共同输出趋势和周期性组件。我从2000年从2000年欧元区的19个国家的数据使用数据估算了贝叶斯方法的模型:Q1到2018:Q3,并在不同规格的产出趋势进行模型比较。估计数据的优选模型表明,由于全球金融危机期间趋势输出的负面冲击,该期间的产量略低于潜力,但在欧洲债务危机期间出现了约8%的产出差距。在采样期结束时,产出估计高于潜在产出的3.5%,近年来的年平均速度仅为0.5%。 elsevier b.v出版。

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