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Determinants of house prices in Turkey: Hedonic regression versus artificial neural network

Authors :
Selim, Hasan
Source :
Expert Systems with Applications. Mar2009 Part 2, Vol. 36 Issue 2, p2843-2852. 10p.
Publication Year :
2009

Abstract

Abstract: Determinants of house prices in Turkey are examined in this paper using the 2004 Household Budget Survey Data. In property valuation and housing market research, the locational value is usually analyzed by hedonic methods that use multiple regression techniques on large data sets and require a formality based on microeconomic theory in the analyses. Because of potential non-linearity in the hedonic functions, artificial neural network (ANN) is employed in this study as an alternative method. By comparing the prediction performance between the hedonic regression and artificial neural network models, this study demonstrates that ANN can be a better alternative for prediction of the house prices in Turkey. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
09574174
Volume :
36
Issue :
2
Database :
Academic Search Index
Journal :
Expert Systems with Applications
Publication Type :
Academic Journal
Accession number :
35527904
Full Text :
https://doi.org/10.1016/j.eswa.2008.01.044