Nonlinearities in the U.S. Wage Phillips Curve

Luiggi Donayre, Irina Panovska
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引用次数: 22

Abstract

We examine the relationship between wage inflation and the unemployment rate in the U.S. economy for the 1964–2014 period by means of a three-regime threshold regression model. The estimated threshold parameters suggest that this relationship changes when the unemployment rate transitions between regimes defined by 5.61% and 7.63%. During mild recessions and their subsequent recoveries, the time-varying estimates of the model indicate a negative relationship between both variables, consistent with the implications of a wage Phillips curve (WPC) derived from the standard New Keynesian model with staggered wage setting in Gali (2011). However, we find that this relationship breaks down during deep recessions and their recovery periods, which explains the difference between wage inflation predicted by standard New Keynesian models and the observed low wage growth in the aftermath of the ‘Great Recession’. This finding and the fact that statistical tests strongly favor our three-regime model suggest that linear and two-regime models are insufficient to account for all the variability in the relationship between wage inflation and unemployment.
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美国工资菲利普斯曲线的非线性
本文采用三区阈值回归模型研究了1964-2014年美国经济中工资通胀与失业率之间的关系。估计的阈值参数表明,当失业率在5.61%和7.63%定义的制度之间转换时,这种关系发生变化。在轻度衰退及其随后的复苏期间,模型的时变估计表明两个变量之间存在负相关关系,这与加利(2011)中基于交错工资设置的标准新凯恩斯主义模型得出的工资菲利普斯曲线(WPC)的含义一致。然而,我们发现这种关系在深度衰退及其恢复期破裂,这解释了标准新凯恩斯主义模型预测的工资通胀与“大衰退”后观察到的低工资增长之间的差异。这一发现以及统计测试强烈支持我们的三制度模型的事实表明,线性和两制度模型不足以解释工资通胀和失业之间关系的所有可变性。
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