It is possible for an estimator of to be inconsistent while
A) converging in probability to .
B) Sn .
C) unbiased.
D) Pr → 0.
Correct Answer:
Verified
Q1: Asymptotic distribution theory is
A)not practically relevant, because
Q8: If the errors are heteroskedastic, then
A)the OLS
Q13: Finite-sample distributions of the OLS estimator and
Q14: The Gauss-Markov Theorem proves that
A)the OLS estimator
Q16: Under the five extended least squares assumptions,the
Q16: When the errors are heteroskedastic, then
A)WLS is
Q19: The OLS estimator is a linear estimator,
Q20: If, in addition to the least squares
Q21: Assume that the variance depends on a
Q22: If the functional form of the conditional
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