The independence assumption is a key principle in econometrics that states that the error terms in a regression model are independent of the explanatory variables. This means that the unobserved factors affecting the dependent variable do not correlate with the independent variables. Violating this assumption can lead to biased and inconsistent parameter estimates, which can undermine the reliability of fixed effects and random effects models.
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