Author Question: Heteroskedasticity means that A) homogeneity cannot be assumed automatically for the model. B) ... (Read 167 times)

audragclark · **on:** Jun 29, 2018

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.

Question 2

In the case of errors-in-variables bias, the precise size and direction of the bias depend on

A) the sample size in general.
B) the correlation between the measured variable and the measurement error.
C) the size of the regression R2.
D) whether the good in question is price elastic.