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Time-varying impact of uncertainty shocks on the US housing market

机译:不确定性冲击对美国住房市场的时变影响

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This paper investigates the impact of uncertainty shocks on the housing market of the United States using the time-varying parameter factor augmented vector autoregression (TVP-FAVAR). We use a comprehensive quarterly time-series dataset on real economic activity, price, and financial variables, besides housing market variables, covering the period 1963:Q1 to 2014:Q3. In addition to housing prices, we also consider variables related to home sales, permits and starts. In general, the results of the cumulative response of housing variables to a one standard deviation positive uncertainty shock at the one-, four-, eight-, and twelve-quarter-horizon tends to change over time, both in terms of sign and magnitude, with the uncertainty shock primarily negatively affecting the housing variables, in particular prices, permits and starts, in longer-runs (i.e., two- and three-years-ahead horizons). (C) 2019 Elsevier B.V. All rights reserved.
机译:本文使用时变参数因子增强向量自回归(TVP-FAVAR)来研究不确定性冲击对美国住房市场的影响。除了住房市场变量外,我们还使用了一个关于实际经济活动,价格和金融变量的全面季度时间序列数据集,涵盖了1963:Q1到2014:Q3期间。除了房价之外,我们还考虑与房屋销售,许可和开工有关的变量。通常,在四分之一,四,八,十二分之一水平时,房屋变量对一个标准偏差正不确定性震荡的累积响应结果会随时间变化,无论是符号还是幅度,不确定性冲击主要在较长时期内(即,提前两年和三年)对住房变量(尤其是价格,许可和开工)产生负面影响。 (C)2019 Elsevier B.V.保留所有权利。

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