EconPapers    
Economics at your fingertips  
 

Hedonic Analysis of Housing Sales Prices with Semiparametric Methods

Vincenzo Del Giudice, Benedetto Manganelli and Pierfrancesco De Paola
Additional contact information
Vincenzo Del Giudice: University of Naples Federico II, Naples, Italy
Benedetto Manganelli: University of Basilicata, Potenza, Italy
Pierfrancesco De Paola: University of Naples Federico II, Naples, Italy

International Journal of Agricultural and Environmental Information Systems (IJAEIS), 2017, vol. 8, issue 2, 65-77

Abstract: 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.

Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJAEIS.2017040105 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jaeis0:v:8:y:2017:i:2:p:65-77

Access Statistics for this article

International Journal of Agricultural and Environmental Information Systems (IJAEIS) is currently edited by Frederic Andres

More articles in International Journal of Agricultural and Environmental Information Systems (IJAEIS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().

 
Page updated 2025-03-19
Handle: RePEc:igg:jaeis0:v:8:y:2017:i:2:p:65-77