The hedonic approach has been widely used to estimate property and rent prices. However, issues of spatial effects and particularly spatial dependence on the efficiency and consistency of hedonic estimates has only recently started to receive broad attention. The analysis in this paper applies spatial regression techniques to a large Swiss dataset of bid rent prices with 9218 observations in order to improve the hedonic estimations. The reported work can be considered as preliminary results.