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

Authors:
Hasan Selim
Affiliations:
Department of Industrial Engineering, Dokuz Eylul University, Bornova, 35100 Izmir, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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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.