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Prove That Under the Extended Least Squares Assumptions the OLS β^\hat { \boldsymbol { \beta } }

question 35

Essay

Prove that under the extended least squares assumptions the OLS estimator β^\hat { \boldsymbol { \beta } } is unbiased and that its variance-covariance matrix is σu2(XX)1\sigma _ { u } ^ { 2 } \left( \boldsymbol { X } ^ { \prime } \boldsymbol { X } \right) ^ { - 1 }


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