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Housing-market bubble adjustment in coastal communities - A spatial and temporal analysis of housing prices in Midwest Pinellas County, Florida

机译:沿海社区的住房市场泡沫调整 - 佛罗里达州中西部县的房价的空间和时间分析

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This study aims to investigate the spatial and temporal dynamics of housing prices associated with the 2007 U.S. housing-market bubble in Midwest Pinellas County, Florida. Two methods were used to examine the spatial and temporal dynamic of price levels: housing characteristic influence estimation and a hedonic modeling approach. Two consistent spatial patterns emerged in the estimated coefficients associated with various housing characteristics, with definitive changes occurring at 600 m and 2200 m from the coast. These changes suggested the existence of three geographical submarkets: a coastal, an intermediate or transitional, and an inland submarket. Three temporal stages were observed from the coefficient trends associated with various housing characteristics: 2002-2005 (bubble-growing), 2006 2008 (bubble-burst), and 2009-2011 (post-bubble). The hedonic models demonstrated a complexity in the determinant of housing prices during the housing peak-bubble period. The inclusion of submarket dummy variables in the hedonic models improved the amount of explained variation. The R-2 values of the hedonic models from 2002 through 2008, followed by a decrease after the bubble-burst period. The pre-bubble-burst trend in R-2 suggests that predictable market forces were at work; partly driven by irrational expectations of housing buyers and the perceptions of run-away housing prices during the growth phase of the bubble. (c) 2017 Elsevier Ltd. All rights reserved.
机译:本研究旨在调查与2007年美国佛罗里达州中西部县2007年美国住房市场泡沫有关的房价的空间和时间动态。两种方法用于检查价格水平的空间和时间动态:外壳特征影响估计和杂草建模方法。在与各种壳体特性相关的估计系数中出现的两个一致的空间图案,距离海岸有600米和2200米的明确变化。这些变化建议存在三个地理显示:沿海,中间或过渡和内陆子程。从与各种住房特性相关的系数趋势观察到三个时间阶段:2002-2005(泡沫生长),2006 2008(泡沫突发)和2009-2011(后泡)。燕盟模型在住房峰泡沫期间的住房价格的决定因素中表现出复杂性。在烟草模型中纳入子报文型变量提高了解释变化的量。 2002年至2008年的储层模型的R-2值,然后在泡沫爆发期后降低。 R-2的泡沫突发趋势表明,可预测的市场力量在工作中;部分受到房屋买家的非理性期望和泡沫增长期间对逃逸房价的看法。 (c)2017 Elsevier Ltd.保留所有权利。

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