Inflation, Unemployment, and Labour Force: Phillips Curves and Long-Term Projections for Austria

I. Kitov
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引用次数: 1

Abstract

We model the rate of inflation and unemployment in Austria since the early 1960s within the Phillips/Fisher framework. The change in labour force is the driving force representing economic activity in the Phillips curve. For Austria, this macroeconomic variable was first tested as a predictor of inflation and unemployment in 2005 with the involved time series ended in 2003. Here we extend all series by nine new readings available since 2003 and re-estimate the previously estimated relationships between inflation, unemployment, and labour force. As before, a structural break is allowed in these relationships, which is related to numerous changes in definitions in the 1980s. The break year is estimated together with other model parameters by the Boundary Element Method with the LSQ fitting between observed and predicted integral curves. The precision of inflation prediction, as described by the root-mean-square (forecasting) error is by 20% to 70% better than that estimated by AR(1) model. The estimates of model forecasting error are available for those time series where the change in labour force leads by one (the GDP deflator) or two (CPI) years. For the whole period between 1965 and 2012 as well as for the intervals before and after the structural break (1986 for all inflation models) separately, our model is superior to the na\"ive forecasting, which in turn, is not worse than any other forecasting model. The level of statistical reliability and the predictive power of the link between inflation and labour force imply that the National Bank of Austria does not control inflation and unemployment beyond revisions to definitions. The labour force projection provided by Statistic Austria allows foreseeing inflation at a forty-year horizon: the rate of CPI inflation will hover around 1.3% and the GDP deflator will likely sink below zero between 2018 and 2034.
通货膨胀、失业和劳动力:奥地利的菲利普斯曲线和长期预测
我们在菲利普斯/费雪框架内对奥地利自20世纪60年代初以来的通货膨胀率和失业率进行了建模。劳动力的变化是菲利普斯曲线中代表经济活动的驱动力。对于奥地利,这个宏观经济变量在2005年首次作为通货膨胀和失业的预测指标进行了测试,涉及的时间序列截止到2003年。在这里,我们用2003年以来的9个新数据扩展了所有系列,并重新估计了之前估计的通胀、失业和劳动力之间的关系。和以前一样,在这些关系中允许有结构性的中断,这与20世纪80年代定义的许多变化有关。采用边界元法,利用实测积分曲线与预测积分曲线的LSQ拟合,估计断裂年与其他模型参数。由均方根(预测)误差描述的通货膨胀预测精度比AR(1)模型估计的精度高20% ~ 70%。对于那些劳动力变化领先一年(GDP平减指数)或两年(CPI)的时间序列,模型预测误差的估计是可用的。对于1965年至2012年的整个时期,以及在结构性断裂之前和之后的时间间隔(所有通胀模型都是1986年),我们的模型优于朴素预测,而朴素预测又并不比任何其他预测模型差。统计可靠性的水平和通货膨胀与劳动力之间联系的预测能力表明,奥地利国家银行除了修订定义之外,无法控制通货膨胀和失业。奥地利统计局提供的劳动力预测可以预测40年后的通货膨胀:在2018年至2034年间,CPI通胀率将徘徊在1.3%左右,GDP平减指数可能降至零以下。
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