The class of linear conditionally unbiased estimators consists of
A) all estimators of β1 that are linear functions of Y1,…, Yn and that are unbiased, conditional on X1,…, Xn .
B) OLS, WLS, and TSLS.
C) those estimators that are asymptotically normally distributed.
D) all estimators of β1 that are linear functions of X1,…, Xn and that are unbiased, conditional on X1,…, Xn.
Correct Answer:
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Q6: Slutsky's theorem combines the Law of Large
Q7: Besides the Central Limit Theorem, the other
Q8: If the errors are heteroskedastic, then
A)the OLS
Q9: It is possible for an estimator
Q10: The OLS estimator is a linear
Q12: Finite-sample distributions of the OLS estimator and
Q13: All of the following are good reasons
Q14: The following is not part of
Q15: The extended least squares assumptions are of
Q16: When the errors are heteroskedastic, then
A)WLS is
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