Nominal GDP Targeting with Heterogeneous Labor Supply

IF 2.9 4区 经济学 Q2 BUSINESS, FINANCE Federal Reserve Bank of St Louis Review Pub Date : 2017-02-17 DOI:10.20955/wp.2017.016
J. Bullard, Aarti Singh
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引用次数: 11

Abstract

We study nominal GDP targeting as optimal monetary policy in a model with a credit market friction following Azariadis, Bullard, Singh and Suda (2018), henceforth ABSS. As in ABSS, the macroeconomy we study has considerable income inequality which gives rise to a large pri- vate sector credit market. Households participating in this market use non-state contingent nominal contracts (NSCNC). We extend the ABSS framework to allow for endogenous and heterogeneous household labor supply among credit market participant households. We show that nom- inal GDP targeting continues to characterize optimal monetary policy in this setting. Optimal monetary policy repairs the distortion caused by the credit market friction and so leaves heterogeneous households supply- ing their desired amount of labor, a type of divine coincidence result. We also analyze the incomplete markets equilibrium that exists when the monetary policymaker pursues a suboptimal policy, and show how an ex- tension to more general preferences can limit the ability of the policymaker to provide full insurance to households in this setting.
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劳动力供给异质性下的名义GDP目标
我们在Azariadis, Bullard, Singh和Suda(2018)之后的信贷市场摩擦模型中研究名义GDP目标制作为最优货币政策,此后是ABSS。与ABSS一样,我们研究的宏观经济存在相当大的收入不平等,这导致了一个庞大的私营部门信贷市场。参与该市场的家庭使用非国家或有名义合同(NSCNC)。我们扩展了ABSS框架,以允许信贷市场参与者家庭之间的内生和异质家庭劳动力供给。我们表明,在这种情况下,名义GDP目标制仍然是最优货币政策的特征。最优货币政策修复了信贷市场摩擦造成的扭曲,从而让异质家庭提供他们想要的劳动,这是一种神圣的巧合结果。我们还分析了当货币政策制定者追求次优政策时存在的不完全市场均衡,并说明在这种情况下,对更一般偏好的延伸如何限制政策制定者为家庭提供充分保险的能力。
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CiteScore
3.20
自引率
5.90%
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0
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