The OLS estimator is a linear estimator, 1 =
,where
i =
A) .
B) .
C) .
D) .
Correct Answer:
Verified
Q1: Asymptotic distribution theory is
A)not practically relevant, because
Q8: If the errors are heteroskedastic, then
A)the OLS
Q14: The Gauss-Markov Theorem proves that
A)the OLS estimator
Q16: Under the five extended least squares assumptions,the
Q17: It is possible for an estimator of
Q20: If, in addition to the least squares
Q21: Assume that the variance depends on a
Q22: If the functional form of the conditional
Q27: (Requires Appendix material)If X and Y are
Q40: Discuss the properties of the OLS estimator
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