2016
DOI: 10.3846/1648715x.2015.1134702
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Mass Appraisal of Residential Real Estate Using Multilevel Modelling

Abstract: ABSTRACT. Mass appraisal, or the automatic valuation of a large number of real estate assets, has attracted the attention of many researchers, who have mainly approached this issue employing traditional econometric models such as Ordinary Least Squares (OLS). However, this method does not consider the hierarchical structure of the data and therefore assumes the unrealistic hypothesis of the independence of the individuals in the sample. This paper proposes the use of the Hierarchical Linear Model (HLM) to over… Show more

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Cited by 47 publications
(42 citation statements)
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“…The study further emphasized changing behavioral patterns of the household, which will, in turn, reflect the value of the property [46]. However, to appraise for pricing a large number of housing units, some criteria need to be considered, such as the characteristics of building fabrics and also the neighborhood [47].…”
Section: Affordability In Housingmentioning
confidence: 99%
“…The study further emphasized changing behavioral patterns of the household, which will, in turn, reflect the value of the property [46]. However, to appraise for pricing a large number of housing units, some criteria need to be considered, such as the characteristics of building fabrics and also the neighborhood [47].…”
Section: Affordability In Housingmentioning
confidence: 99%
“…Arribas et al (2016) use the HLM to classify the variables into apartment and neighborhood levels. They find that the HTM parameters have lower estimated variance than OLS [55]. Meanwhile, the HTM can be seen as an extension of a dummy variable model with time varying constants for the different clusters [56].…”
Section: Hierarchical Modelmentioning
confidence: 99%
“…The literature [47] has used the hierarchical linear model (HLM) to overcome the limitation of "not considering hierarchical structure of the data". The literature [47] plays an important role in researching residential real estate using multilevel modeling.…”
Section: Econometric Model Settingmentioning
confidence: 99%