Title of article
Determinants of house prices in Turkey: Hedonic regression versus artificial neural network
Author/Authors
Selim، نويسنده , , Hasan، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2009
Pages
10
From page
2843
To page
2852
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.
Keywords
House Price , Hedonic regression , Artificial neural networks , Turkey
Journal title
Expert Systems with Applications
Serial Year
2009
Journal title
Expert Systems with Applications
Record number
2345409
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