If the measurement error is in the independent variable, then
A) We don't need to worry about bias, the measurement error will be reflected in the error term.
B) The bigger the measurement error, the bigger the variance of the error term.
C) We will have a case of attenuation bias, where the coefficient will be closer to 0 than it should be.
D) We will have a case of attenuation bias, where the coefficient is larger than it should be.
Correct Answer:
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Q6: Adding more independent variables can reduce multicollinearity.
Q7: Perfect multicollinearity means all independent variables are
Q8: An omitted variable bias problem occurs when:
A)
Q9: When using an auxiliary equation to
Q10: Which of the following are consequences of
Q12: In a case where there is multicollinearity
Q13: What should we do when we have
Q14: If we add more independent variables into
Q15: Including irrelevant independent variables into the model:
A)
Q16: Which of the following is not a
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