2001
Abstract:
Commercial land price gradients for an emerging real estate market are estimated using spatial regression
techniques. Spatial statistics are used to explore the extent of spatial autocorrelation in the residuals of an
OLS land price gradient model. Spatial autocorrelation is present but not to the same degree for all time
periods or commercial land uses. Maximum likelihood estimates of land price gradients are as one would
expect in mature real estate markets.
