Heteroskedasticity means that
A) homogeneity cannot be assumed automatically for the model.
B) the variance of the error term is not constant.
C) the observed units have different preferences.
D) agents are not all rational.
Correct Answer:
Verified
Q10: When estimating a demand function for a
Q11: The only difference between a one- and
Q12: With heteroskedastic errors, the weighted least squares
Q13: The proof that OLS is BLUE
Q14: Imagine that you were told that
Q16: One of the following steps is
Q17: The error term is homoskedastic if
A)var(ui
Q18: A binary variable is often called a
A)dummy
Q19: The confidence interval for the sample regression
Q20: The t-statistic is calculated by dividing
A)the OLS
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