Browse

The problem of estimating the price of residential real estate is considered. For its solution it is proposed to use hedonic house price models such as local spatial models: geographically weighted regression and kriging. They attempt to explain variation in house prices using property structural and location characteristics. To improve the quality of construction of a variogram model, it is proposed to use robust methods. Methods are compared based on real data on the house prices in the city of Novosibirsk. The ...