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The Spatial Error Model is used in spatial econometrics to account for spatial autocorrelation in the error terms of a regression model, which can lead to inefficient and biased estimates if ignored. It extends traditional regression models by incorporating a spatially lagged error term, allowing for more accurate inferences in the presence of spatial dependence.
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