One of the earlier textbooks in econometrics, first published in ...

[erika]

One of the earlier textbooks in econometrics, first published in 1971, compared estimation of a parameter to shooting at a target with a rifle.
 
  The bull's-eye can be taken to represent the true value of the parameter, the rifle the estimator, and each shot a particular estimate. Use this analogy to discuss small and large sample properties of estimators. How do you think the author approached the n   condition? (Dependent on your view of the world, feel free to substitute guns with bow and arrow, or missile.)
  What will be an ideal response?

Question 2

The advantage of using heteroskedasticity-robust standard errors is that
 
  A) they are easier to compute than the homoskedasticity-only standard errors.
  B) they produce asymptotically valid inferences even if you do not know the form of the conditional variance function.
  C) it makes the OLS estimator BLUE, even in the presence of heteroskedasticity.
  D) they do not unnecessarily complicate matters, since in real-world applications, the functional form of the conditional variance can easily be found.

[Amiracle]

Answer to Question 1

OMG..This is soo helpful. Thank you.

Answer to Question 2

Here to give you a feedback, your answer was right Awesome

[erika]

Wow, this really help

[Zebsrer]

Thanks for the timely response, appreciate it