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Defining spatial housing submarkets: Exploring the case for expert delineated boundaries

机译:定义空间住房子市场:探索专家划定边界的案例

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摘要

Although there are numerous reasons for real estate analysts to construct spatial housing submarkets, there is little clarity about how this might best be done in practice. The existing literature offers a variety of techniques including those based on principal components analysis, cluster analysis and a range of other statistical procedures. This paper asks whether, given their market expertise and their role in disseminating information, shaping search patterns and informing bid formation, real estate agents might offer an effective but less data intensive method of submarket construction. The empirical research is based on an experiment that compares the predictive of different sets of submarket boundaries constructed by using either standard statistical methods or through consultation with real estate agents and other market analysts. The analysis draws on housing transactions data from Istanbul, Turkey. While the results do not demonstrate the outright superiority of any single method, they do suggest that expert-defined boundaries tend to perform at least as well as alternative construction techniques. Importantly, the results suggest that agent-based methods for delineating submarket boundaries might be used with a degree of confidence by real estate analysts and planners in market contexts where rich micro-datasets are not readily available. This has been one of the constraints internationally on wider adoption of submarket boundaries as an analytical tool.
机译:尽管有很多原因使房地产分析师建立空间住房子市场,但对于如何在实践中最好地做到这一点尚不清楚。现有文献提供了多种技术,包括基于主成分分析,聚类分析和一系列其他统计程序的技术。本文要问的是,鉴于房地产经纪人的市场专业知识以及他们在传播信息,塑造搜索模式和告知投标形成过程中的作用,它们是否可以提供一种有效但数据密集程度较低的子市场建设方法。实证研究基于一项实验,该实验通过使用标准统计方法或与房地产经纪人和其他市场分析师协商,比较了不同子市场边界集的预测。该分析借鉴了土耳其伊斯坦布尔的房屋交易数据。尽管结果并未显示出任何单一方法的绝对优势,但它们确实表明,专家定义的边界至少具有与替代构造技术一样的性能。重要的是,结果表明,在无法获得丰富的微数据集的市场环境中,房地产分析师和规划师可以放心地使用基于代理的方法来划分子市场边界。这一直是国际上限制子市场边界广泛用作分析工具的限制之一。

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