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CPS1198 Firano Z. et al.
            characteristics. Thus, one of the important factors is the value of neighbouring
            properties. In fact, the higher the value of a good, the greater the probability
            that a neighbouring good will have such a high price (phenomenon of real
            estate mimicry). In this design, it is necessary to take into account the spatial
            autocorrelation that measures neighbourhood effects. Spatial autocorrelation
            is based on the observation that spatialized observations in cross sections are
            not independent. Spatial autocorrelation is defined as the correlation, positive
            or negative, of a variable with itself arising from the geographic location of the
                 3
            data. .

            4.  Results
                To test this spatial autocorrelation we opted for the Geary index (1954)
            which measures the local spatial dependence between real estate. The value
            obtained from the Geary index is less than one, making it possible to reject
            the hypothesis of non-existence of spatial autocorrelation. In this respect, we
            can  say  that  real  estate  prices  in  Rabat-Hay  Riad  and  Témara  are  auto
            correlated  in  space.  In  other  words,  the  value  of  goods  is  influenced  by
            neighbouring prices. The existence of the spatial correlation up to the fifth
            neighbourhood in the region corroborates the hypothesis of the influence of
            neighbouring prices on the real estate sales value. Therefore, we proposed a
            model that takes into account this spatial dependence effect estimated using
            the instrumental approach to correct the low exogeneity bias. Models were
            estimated according to the following specification:
                                               ,
                               ,  =  −,  + ∑   +     +  , 4
                                                           . ,
                                               =1;=1

                Where  i  is  the  individual  dimension  describing  real  estate  and  j  is  the
            nature  of  the  property.  Indeed,  we  have  distinguished  in  the  estimation
            between the different categories of real estate (apartment, villa, land,... etc.).
            Therefore, we have 8 categories of property and more than 11,000 properties
            in the region of Rabat-center, 6,500 properties on Hay Riad and 20,400 on the
            city of Témara.






            3  Julie  Le  Gallo.  Econométrie  spatiale  (1,  Autocorrélation  spatiale).  [Rapport  de  recherche]
            Laboratoire d’analyse et de techniques économiques(LATEC). 2000, 45 p., Table, ref. bib. : 5 p.
            <hal-01527290>.
            4 , is a combination of supposedly random residues and effects specific to types of real estate.

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