(Re-)Connecting Inflation and the Labor Market: A Tale of Two Curves

Hie Joo Ahn, Jeremy B. Rudd
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Abstract

We propose an empirical framework in which shocks to worker reallocation, aggregate activity, and labor supply drive the joint dynamics of labor market outcomes and inflation, and where reallocation shocks take two forms depending on whether they result from quits or from job loss. In order to link our approach with previous theoretical and empirical work, we extend the procedure for estimating a Bayesian sign-restricted VAR so that priors can be directly imposed on the VAR's impact matrix. We find that structural shocks that shift the Beveridge curve have different effects on inflation. Our model allows us to fully decompose movements of or along the empirical Beveridge curve in terms of the contribution of each shock and also allows us to estimate the Phillips correlation associated with each shock; our results imply that observed Beveridge and Phillips correlations can change over time depending on what types of structural shocks predominate in a given period. Applying our model to the pandemic-related recession and recovery, we find that reallocation shocks were a key source of labor market dynamics during this period and explain how a post-pandemic ``soft landing,’’ in which inflation declined without a significant rise in unemployment, was possible.
(重新)连接通货膨胀与劳动力市场:两条曲线的故事
我们提出了一个实证框架,在该框架中,对工人再分配、总体活动和劳动力供给的冲击会推动劳动力市场结果和通货膨胀的共同动态变化,而再分配冲击根据其是辞职还是失业而有两种形式。为了将我们的方法与之前的理论和实证工作联系起来,我们扩展了贝叶斯符号限制 VAR 的估计程序,从而可以直接对 VAR 的影响矩阵施加先验。我们发现,改变贝弗里奇曲线的结构性冲击对通货膨胀的影响各不相同。我们的模型使我们能够根据每种冲击的贡献对经验贝弗里奇曲线的移动或沿其移动进行完全分解,也使我们能够估算与每种冲击相关的菲利普斯相关性;我们的结果表明,观察到的贝弗里奇和菲利普斯相关性会随着时间的推移而变化,这取决于在特定时期哪种类型的结构性冲击占主导地位。将我们的模型应用于与大流行病相关的衰退和复苏中,我们发现重新分配冲击是这一时期劳动力市场动态的关键来源,并解释了大流行病后的 "软着陆 "是如何实现的,在这一过程中,通胀下降而失业率没有显著上升。
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