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
Q1: Asymptotic distribution theory is
A)not practically relevant, because
Q9: The link between the variance of
Q10: The following is not one of the
Q11: You need to adjust Q13: Finite-sample distributions of the OLS estimator and Q16: When the errors are heteroskedastic, then Q16: Under the five extended least squares assumptions,the Q17: It is possible for an estimator of Q19: The OLS estimator is a linear estimator, Q20: If, in addition to the least squares
A)WLS is
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents