Econometric Support of a Mass Valuation Process

M. Doszyń
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引用次数: 3

Abstract

Abstract Research background: The issues undertaken in the paper include the specification of an econometric model in real estate mass appraisal. Advantages and disadvantages of using econometric models in real estate mass appraisal are discussed. Purpose: The issue of aiding the valuation process with an econometric model based on the Szczecin algorithm of real estate mass appraisal is discussed in the paper. Such problems like multicollinearity, lack of coincidence and nonmonotonic influence of attributes are pointed out. Also, potential solutions to these problems are mentioned. Moreover, the paper features a discussion of cases in which econometric appraisal is not sufficient. Research methodology: The base for constructing an econometric model is the so-called Szczecin algorithm of real estate mass appraisal. Based on the algorithm, the econometric model was created to enable determining the impact of real estate attributes and location on their value. Results: problems related with specification, estimation and verification of the real estate mass appraisal econometric model are discussed in an empirical example. Novelty: A non-linear model is proposed, which features explanatory variables introduced into the model, and by taking into consideration the scale of their measurement. The proposed model, by introducing dummy variables, also account for the impact of a location, which significantly improves the fit to empirical values.
大规模评估过程的计量经济学支持
摘要研究背景:本文研究的问题包括房地产质量评估计量经济模型的规范。探讨了计量经济模型在房地产质量评估中的优缺点。目的:探讨基于Szczecin算法的计量经济模型在房地产批量估价过程中的辅助问题。指出了多重共线性、缺乏重合和属性的非单调影响等问题。此外,本文还提出了这些问题的潜在解决方案。此外,本文还讨论了计量经济评估不充分的案例。研究方法:构建计量经济学模型的基础是所谓的房地产质量评估的Szczecin算法。基于该算法,建立了计量经济模型,以确定房地产属性和位置对其价值的影响。结果:通过实证分析,讨论了房地产质量评估计量经济模型的规范、估计和验证等相关问题。新颖性:提出了一个非线性模型,其特征是在模型中引入了解释变量,并考虑了它们的测量尺度。通过引入虚拟变量,该模型还考虑了位置的影响,从而显著提高了对经验值的拟合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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