The biggest difference between fixed-effects and random-effects models is that
A) fixed effects models assume that the unobserved heteroskedasticity is uncorrelated with the independent variables.
B) random effects models do not completely remove the time-invariant component of the error term.
C) fixed effects models completely remove the time-variant component of the error term.
D) random effects models are random while fixed-effects models are fixed.
Correct Answer:
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Q14: Random-effects models are more appropriate than fixed-effects
Q15: Fixed-effects models and first-differenced models
A)assume that the
Q16: Random-effects models are
A)almost never the appropriate model
Q17: Fixed-effects models and first-differenced models
A)assume that the
Q18: Random-effects models
A)assume that the time invariant component
Q20: Panel data differs from cross-section data in
Q21: What is a random-effects model? How do
Q22: Suppose that in an effort to explain
Q23: What is a first-differenced model? How is
Q24: Using the National Longitudinal Survey of young
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