Multiple Choice
The extended least squares assumptions are of interest, because
A) they will often hold in practice.
B) if they hold, then OLS is consistent.
C) they allow you to study additional theoretical properties of OLS.
D) if they hold, we can no longer calculate confidence intervals.
Correct Answer:
Verified
Correct Answer:
Verified
Q2: If the errors are heteroskedastic, then<br>A)the OLS
Q3: The large-sample distribution of <span
Q4: "One should never bother with WLS. Using
Q5: For this question you may assume
Q6: The advantage of using heteroskedasticity-robust standard errors
Q8: If, in addition to the least squares
Q9: Assume that var(u<sub>i</sub>|X<sub>i</sub>)= ?<sub>0</sub>+?<sub>1</sub> <sub> </sub>
Q10: (Requires Appendix material)Your textbook considers various
Q11: In practice, you may want to use
Q12: Feasible WLS does not rely on the