Spline Smoothing for Estimating Hedonic Housing Price Models

被引：16
|
作者：
Del Giudice, Vincenzo [1 ]
Manganelli, Benedetto [2 ]
De Paola, Pierfrancesco [1 ]
机构：
[1] Univ Naples Federico II, I-80125 Naples, Italy
[2] Univ Basilicata, I-85100 Potenza, Italy
来源：
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2015, PT III | 2015年 / 9157卷
关键词：
Penalized spline; Semiparametric regression; Additive models; Property investment; Real estate valuation;
D O I：
10.1007/978-3-319-21470-2_15
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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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页码：210 / 219
页数：10
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