Abstract
This paper reviews the statistical methods for spatial prediction: the non-parametric “kriging” method and spatial autoregessive models. We discuss the main assumptions involved in each method as well as the advantages and disadvantages in each case. These methods are applied to the FPLI wage index for Florida counties, in order to illustrate a way to select the best econometric model and spatial weights.
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