Spatial Regression Analysis of Commercial Land Price Gradients

David Dale-Johnson and W. Jan Brzeski

No 8632, Working Paper from USC Lusk Center for Real Estate

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.

Keywords: spatial regression; spatial autocorrelation; land price gradients; emerging markets (search for similar items in EconPapers)
Date: 2001
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:luk:wpaper:8632

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