Do Multisectoral New Keynesian Models Match Sectoral Data?

P. Andrade, Viacheslav Sheremirov
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Abstract

: We document empirical regularities of disaggregated inflation and consumption and study whether multisectoral Ne w Keynesian models can explain them. We focus on higher moments of the inflation and consumption growth distributions as well as on the contemporaneous comovement of these two variables. We find that the sectoral distributions of inflation and consumption growth are asymmetric, with inflation skewed negatively and consumption growth positively. Both distributions are highly leptokurtic. In the full sample, from the mid-1980s through 2021, sectoral inflation and consumption growth overall correlate negatively, indicating the prevalence of supply shocks over demand shocks. The negative correlation is robust across historical episodes during this period, except during the COVID-19 pandemic, when inflation and consumption growth comoved positively. While the baseline model can match some of these facts for a specific shock process, in its baseline setup the model struggles to match them simultaneously.
多部门新凯恩斯模型与部门数据匹配吗?
我们记录了分类通货膨胀和消费的经验规律,并研究了多部门新凯恩斯模型是否可以解释它们。我们关注通胀和消费增长分布的较高时刻,以及这两个变量的同期运动。我们发现通货膨胀和消费增长的部门分布是不对称的,通货膨胀负向倾斜,消费增长正向倾斜。这两个分布都是高度钩峰分布。在整个样本中,从20世纪80年代中期到2021年,行业通胀和消费增长总体呈负相关,表明供应冲击比需求冲击更普遍。在这一时期,除了2019冠状病毒病大流行期间,通货膨胀和消费增长呈正相关,其他历史事件的负相关性都很强。虽然基线模型可以匹配特定冲击过程中的一些事实,但在其基线设置中,模型很难同时匹配它们。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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