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Housing price indices for small spatial units

机译:小空间单位的住房价格指数

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Median-based Housing Price Indices (HPIs) generate potentially misleading indicators especially when applied to Small Spatial Units (SSUs) such as small Metropolitan Statistical Areas (MSAs) or neighborhoods within larger metropolitan regions. Given the small total number of sales in SSUs and the even smaller number of repeat sales, traditional alternatives are few. A matching-based Fisher HPI is proposed as an alternative that provides more accurate estimations for SS-Us given that it both controls for housing characteristics and is not restricted just to repeated sales. This paper makes use of housing sales data from the state of Illinois, as an example of the application of the methodology to small MSAs and at the neighborhood level within larger MSAs. The results highlight some of the biases that have arisen from the use of median price indicators.
机译:基于中位数的住房价格指数(HPI)会产生潜在的误导性指标,尤其是将其应用于小型空间单位(SSU),例如小型大都市统计区(MSA)或大都市区域内的社区时。鉴于SSU的销售总量很小,而重复销售的数量甚至更少,传统的替代方法很少。建议使用基于匹配的Fisher HPI作为替代方案,因为它不仅可以控制房屋的特性,而且不仅限于重复销售,还可以为SS-U提供更准确的估计。本文以伊利诺伊州的房屋销售数据为例,将该方法应用于小型MSA以及大型MSA内邻域的应用。结果凸显了使用中位数价格指标引起的一些偏差。

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