Besides the Central Limit Theorem, the other cornerstone of asymptotic distribution theory is the
A) normal distribution.
B) OLS estimator.
C) Law of Large Numbers.
D) Slutsky's theorem.
Correct Answer:
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Q2: Estimation by WLS
A)although harder than OLS, will
Q3: The Gauss-Markov Theorem proves that
A)the OLS estimator
Q4: The following is not one of
Q5: You need to adjust
Q6: Slutsky's theorem combines the Law of Large
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
Q12: Finite-sample distributions of the OLS estimator and
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