In this article, we use a hedonic equation to estimate the implicit prices of urban amenities based on housing market data for the city of São Paulo. We test two different specifications, one with the original independent variables, and another with factors to correct for multicollinearity. In addition to the traditional monocentric model, we include an accessibility vector for a duocentric city. A criterion to select the appropriate environmental variables based on residual spatial interpolation is introduced. We conclude that proximity to train stations, green areas and strict residential zones raise rents, while criminality reduces them.
amenities; hedonic prices; housing market; urban economy
