The Hausman Test is a statistical test used to evaluate the consistency of an estimator when compared to an alternative, efficient estimator, typically within the context of panel data models. It helps to decide between fixed effects and random effects models by testing whether the unique errors are correlated with the regressors, with a significant result favoring fixed effects due to potential endogeneity issues.