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An investigation into the hedonic price analysis of the structural characteristics of residential property in the West Rand

机译:西兰德住宅物业结构特征的享乐价格分析研究

摘要

A vast amount of literature on hedonic price modelling has been formulated on overseasudproperty markets. Very little currently exists in South Africa and this poses a risk forudsellers and estate agents of a residential property when listing it on the open market, asudthis could result in an extended list period, reducing the original asking price. This paperudseeks to examine Gauteng’s West Rand residential property market and formulate audmulti-variate regression model to best predict property prices, determined by a property’sudstructural characteristic. The research tracks residential sales from 1996 to 2009, audthirteen-year sample period from which a composite property index, to account forudinflation and real house price growth, has been formalised. Correlation and regressionudanalysis was used to interpret the data at the relevant significance level. In order toudaccount for locational attributes present in property values, the data set was divided intoudlocational quadrants and run as dummy variables. A further regression was run on audscreened data set to create an ordinary least squares equation that could be used to showudthe relationship between property values and structural characteristics. The resultsudindicated a good fit with an R2 of 69.5%. This regression was then applied practically toudpredict property prices for houses that have transacted in the West Rand property market,udand plotted along a value/price graph using the 45-degree true value frontier line. Theudrelevant results were then interpreted, and recommendations given.
机译:在海外商品市场上已经建立了大量关于享乐价格建模的文献。南非目前几乎没有这种产品,这会给住宅物业的卖方和房地产经纪人在公开市场上上市时带来风险,因为这可能会导致清单期延长,从而降低了原始要价。本文 udseeks检查豪登省的西兰德住宅房地产市场,并制定 udmulti-variable回归模型,以最佳地预测由房地产的 udural结构特征确定的房地产价格。这项研究跟踪了1996年至2009年的住宅销售情况,这是一个长达13年的采样期,在此期间,已经正式确定了综合房价指数(用于说明通货膨胀和实际房价的增长)。相关和回归 udana分析用于解释相关显着性水平的数据。为了计算属性值中存在的位置属性,将数据集划分为 dlocational象限并作为伪变量运行。对筛选后的数据集进行进一步的回归,以创建一个普通的最小二乘方程,该方程可用于显示值与结构特征之间的关系。结果表明拟合度很好,R2为69.5%。然后,该回归实际上用于预测在西兰德房地产市场交易的房屋的房价,并使用45度真实价值边界线沿价值/价格图绘制。然后对不相关的结果进行解释,并给出建议。

著录项

  • 作者

    Dodds Robert Scott;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
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