This is an empirical study about the formation of homeownership prices in Paris. The main goal of the study is to determine to which extent the formation of prices is guided by selected city districts that influence the prices in other parts. For that purpose, we apply spatial econometric models at different scales to determine influent districts and justify the reasons for such influence. Using real estate data provided by the French statistical bureau INSEE, the study disposes of nearly 30.000 transactions in 2007. The use of individual data was a major issue and we construct several topographical grids to apply spatial econometric models : the Spatial Durbin Model and its particular case, the Spatial Autoregressive Model.