Abstract
In this paper, we propose a new approach to modeling a real estate price index in Morocco, based on the hedonic regression approach. The basic idea of this paper is to verify the importance of the characteristics of the real estate in the real estate price. Thus, based on data from the three major cities of the capital region of Morocco (RABAT Region), we estimated a hedonic model that takes into account spatial autocorrelation. The results obtained through this modeling generally confirm that the surface area and location of the real estate (land, house, villa and apartment) have a significant influence on the price of real estate.
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