MODELING OF THE SECOND HOUSING IN REGIONAL MARKETS: SPATIAL APPROACH
Using the method of geographical weighted regression on the example of the Orenburg region housing market the dependence of the secondary housing value on the demand factors is investigated with regard to the geographical position of objects. It is concluded that the relationship of housing costs to the remoteness of the regional capital, population density and wage is spatially dependent.