The OLS estimator of the disturbance variance in the linear regression model with error component disturbances is shown to be weakly consistent and asymptotically unbiased without any restrictions on the regressor matrix. Also, simple exact bounds on the expected value of s2 are given for both the one-way and two-way error component models.
Variance Estimation Error Components Models Bounds on Bias
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