具有代理成本的新凯恩斯货币模型中的不确定性与住房

V. Dorofeenko, Gabriel S. Lee, Kevin D. Salyer, Johannes Strobel
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引用次数: 0

摘要

本文表明,风险(不确定性)以及货币(利率)对住房生产部门的冲击,受到价格和工资的名义摩擦的影响,是商业和住房周期在数量上重要的冲动机制。我们的模型框架是Dorofeenko、Lee、Salyer和Strobel(2016)提出的住房供应/银行/货币部门模型,以及Iacoviello和Neri(2010)提出的住房需求粘性定价模型(Calvo)。我们提供的经验证据表明,过去几年的房价和住宅投资盛衰周期在很大程度上是由经济基本面和金融约束驱动的。我们发现风险和货币冲击的影响是解释总量和部门波动的主要推动力。此外,在价格和工资存在名义摩擦的情况下,影响家庭借贷约束的贷款价值比对实际总变量起着关键作用。这种比较延续到住房市场变量,如住房价格、贷款风险溢价和住房生产商的破产率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uncertainty and Housing in a New Keynesian Monetary Model with Agency Costs
This paper demonstrates that risk (uncertainty) along with the monetary (interest rates) shocks to thehousing production sector that is subject to nominal frictions in prices and wages are a quantitativelyimportant impulse mechanism for the business and housing cycles. Our model framework is that ofthe housing supply/banking/monetary sector model as developed in Dorofeenko, Lee, Salyer and Strobel(2016) with the model of housing demand with sticky pricing (Calvo) presented in Iacoviello and Neri(2010). We provide empirical evidence that large housing price and residential investment boom and bustcycles over the last few years are driven largely by economic fundamentals and financial constraints. Wefind the impact of risk and monetary shocks are the main impulse in explaining the aggregate and sectoralfluctuations. Moreover, in the presence of nominal frictions in prices and wages, the Loan to Value ratiothat affects the household borrowing constraint plays a critical role for real aggregate variables. Thiscomparison carries over to housing market variables such as the price of housing, the risk premium onloans, and the bankruptcy rate of housing producers.
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