All of the following are good reasons for an applied econometrician to learn some econometric theory, with the exception of
A) turning your statistical software from a "black box" into a flexible toolkit from which you are able to select the right tool for a given job.
B) understanding econometric theory lets you appreciate why these tools work and what assumptions are required for each tool to work properly.
C) learning how to invert a 4×4 matrix by hand.
D) helping you recognize when a tool will not work well in an application and when it is time for you to look for a different econometric approach.
Correct Answer:
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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
Q14: The following is not part of
Q15: The extended least squares assumptions are of
Q16: When the errors are heteroskedastic, then
A)WLS is
Q17: Under the five extended least squares
Q18: The link between the variance of
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