Multiple Choice
The Gauss-Markov Theorem proves that
A) the OLS estimator is t distributed.
B) the OLS estimator has the smallest mean square error.
C) the OLS estimator is unbiased.
D) with homoskedastic errors, the OLS estimator has the smallest variance in the class of linear and unbiased estimators, conditional on X1,…, Xn.
Correct Answer:

Verified
Correct Answer:
Verified
Q25: In order to use the t-statistic
Q26: One of the earlier textbooks in econometrics,
Q27: What does the Gauss-Markov theorem prove? Without
Q28: Consider the simple regression model Yi
Q29: The following is not part of
Q31: Consider the model Y<sub>i</sub> - β<sub>1</sub>X<sub>i</sub>
Q32: All of the following are good reasons
Q33: When the errors are heteroskedastic, then<br>A)WLS is
Q34: (Requires Appendix material)This question requires you to
Q35: The WLS estimator is called infeasible WLS