Abstract
The exact prediction of housing selling prices is a relevant issue for real estate market, also to evaluate alternative forms of financial investment. In this paper a hedonic price function built through a semiparametric additive model is implemented. This model use penalized spline functions and aims to achieve a significant improvement in the prediction of the market price of the properties.
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CITATION STYLE
Del Giudice, V., Manganelli, B., & De Paola, P. (2015). Spline smoothing for estimating hedonic housing price models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9157, pp. 210–219). Springer Verlag. https://doi.org/10.1007/978-3-319-21470-2_15
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