Finite-sample distributions of the OLS estimator and t-statistics are complicated, unless
A) the regressors are all normally distributed.
B) the regression errors are homoskedastic and normally distributed, conditional on X1,... Xn.
C) the Gauss-Markov Theorem applies.
D) the regressor is also endogenous.
Correct Answer:
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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
Q11: The class of linear conditionally unbiased estimators
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
Q17: Under the five extended least squares
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