In this paper, it is examined whether the structure of constrained submarkets constructed according to three a priori classifications (property type, house value and geographical areas) differs from that of unconstrained submarkets constructed by means of principal component analysis and cluster...

In some applications of supervised machine learning, it is desirable to trade model complexity with greater interpretability for some covariates while letting other covariates remain a "black box". An important example is hedonic property valuation modeling, where machine learning techniques...

Purpose: The purpose of this paper is to investigate the accuracy and volatility of different methods for estimating and updating hedonic valuation models. Design/methodology/approach: The authors apply six estimation methods (linear least squares, robust regression, mixed-effects regression,...

Ph. D.