Essay
Prove that under the extended least squares assumptions the OLS estimator is unbiased and that its variance-covariance matrix is
(X'X)-1.
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Q5: Write the following four restrictions in the
Q6: The GLS estimator is defined as<br>A)( <img
Q7: The GLS assumptions include all of the
Q8: The heteroskedasticity-robust estimator of <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB2833/.jpg" alt="The
Q9: One of the properties of the OLS
Q11: Consider the multiple regression model from Chapter
Q12: The TSLS estimator is<br>A)(X'X)-1 X'Y<br>B)(X'Z(Z'Z)-1 Z'X)-1 X'Z(Z'Z)-1
Q13: A = <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB2833/.jpg" alt="A =
Q14: The extended least squares assumptions in the
Q15: For the OLS estimator <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB2833/.jpg" alt="For