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Spline Smoothing for Estimating Hedonic Housing Price Models

  • Vincenzo Del Giudice
  • Benedetto ManganelliEmail author
  • Pierfrancesco De Paola
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9157)

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.

Keywords

Penalized spline Semiparametric regression Additive models Property investment Real estate valuation 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Vincenzo Del Giudice
    • 1
  • Benedetto Manganelli
    • 2
    Email author
  • Pierfrancesco De Paola
    • 1
  1. 1.University of NaplesNaplesItaly
  2. 2.University of BasilicataPotenzaItaly

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