Spatial Association and Heterogeneity Issues in Land Price Models

Urban planners frequently use regression analysis for the empirical estimation of land price models, which are used to investigate the spatial structure of a city or to calculate the implicit price of environmental characteristics. A concern with this kind of analysis is that often spatially associated or heterogeneous data are used, which leads to estimation pitfalls, most notably spatial autocorrelation and model structural instability over …