A prediction comparison of housing sales prices by parametric versus semi-parametric regressions

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Determinants of house prices in Turkey: Hedonic regression versus artificial neural network (2009, methodology): “Bin (2004) estimated a hedonic price function using a semi-parametric regression and compared the price prediction performance with conventional parametric models.”
Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data (2015, methodology): “Bin (2004) estimated a hedonic price function using a semi-parametric regression and compared the price prediction performance with conventional parametric models. The results revealed that semi-parametric regression provided improved performance in both in-sample and out-of-sample price predictions”
Consumption preferences and environmental externalities: A hedonic analysis of the housing market in Guangzhou (2007, background): “It needs more accurate prediction and determination of housing prices (Bin, 2004), and better matching between housing supply and consumer demands.”