A Spatial Error Model is a statistical method used to account for spatial autocorrelation in regression analysis, which occurs when the residuals of a model are correlated across space. This model helps improve the accuracy of predictions by correcting for the influence of neighboring observations that can affect the dependent variable, making it crucial for understanding economic phenomena that have a geographical component.
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