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Abstract


Determining The Impact of Housing Attributes on House Prices with Quantile Regression Method: A Case Study in Izmit
House is an good composed of different housing attributes and summation of these attributes determines the price of an house. Hedonic Price model frequently preferred to price the heterogeneous goods is used to determine impact of housing attributes on house prices in this study. The dataset gathered in July – August 2020 in Izmit housing market is analyzed by utilizing the quantile regression method. Results obtained from this study mentions that open swimming pool, built-in kitchen, middle flat, elevator, number of bath, size of an house, tram, being in building complex, closed garage and under floor heating system variables have positive effect on the houses in the all three price groups. Besides, sea view has an negatif impact on houses in the middle and low price categories.

Keywords
Hedonic Price Model, Quantile Regression, Housing Price


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