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Author Question: Heteroskedasticity means that A) homogeneity cannot be assumed automatically for the model. B) ... (Read 186 times)

audragclark

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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.


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zhanghao

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Reply #1 on: Jun 29, 2018
Answer to Question 1

Answer: B

Answer to Question 2

Answer: B


audragclark

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Reply 2 on: Jun 29, 2018
Excellent

fatboyy09

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Reply 3 on: Yesterday
Gracias!

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