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.