A GEOGRAPHICALLY WEIGHTED REGRESSION APPROACH IN REGIONAL MODEL FOR REAL ESTATE MASS VALUATION
Date Issued
2022
Author(s)
Natasha Malijanska, Sanja Atanasova, Gjorgji Gjorgjiev, Igor Peshevski, Daniel Velinov
Abstract
Real estate mass valuation models of a market value have a tendency to
generate real estate property values as close as to the real market values. Property
valuation theory, as one of the primary factors influencing property value, considers
location. The main statistical tool used for modelling in this investigation is
geographically weighted regression. More precisely, the paper is striving to establish a
mass valuation real estate property model considering the implementation of spatial data
as a significant factor in determining the market value of condominiums in Skopje.
generate real estate property values as close as to the real market values. Property
valuation theory, as one of the primary factors influencing property value, considers
location. The main statistical tool used for modelling in this investigation is
geographically weighted regression. More precisely, the paper is striving to establish a
mass valuation real estate property model considering the implementation of spatial data
as a significant factor in determining the market value of condominiums in Skopje.
Subjects
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