Hedonic Analysis of Housing Sales Prices with Semiparametric Methods

This study estimates a hedonic price function using a semiparametric regression based on Penalized Spline Smoothing, and compares the price prediction performance with conventional parametric models. The excellent results obtained show that the semiparametric models allow to obtain a significant improvement in the prediction of housing sales prices.

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Year of publication:	2017
Authors:	Del Giudice, Vincenzo ; Manganelli, Benedetto ; De Paola, Pierfrancesco
Published in:	International Journal of Agricultural and Environmental Information Systems (IJAEIS). - IGI Global, ISSN 1947-3206, ZDB-ID 2695927-6. - Vol. 8.2017, 2 (01.04.), p. 65-77
Publisher:	IGI Global
Subject:	Additive Models \| Penalized Spline \| Property Prices \| Real Estate Appraisal \| Semiparametric Regression

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Type of publication:	Article
Language:	English
Other identifiers:	10.4018/IJAEIS.2017040105 [DOI]
Source:	Other ZBW resources

Persistent link: https://www.econbiz.de/10012042772