Fixed-effects models and first-differenced models
A) assume that the time-invariant component of the error term is not correlated with the independent variables.
B) both add dummy variables to control for individual observations.
C) provide identical results if there are only two years of data.
D) do not completely remove the time-invariant component of the error term.
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Q12: Random-effects models improve on pooled cross-section models
Q13: Pooled cross-section models are not the preferred
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
Q18: Random-effects models
A)assume that the time invariant component
Q19: The biggest difference between fixed-effects and random-effects
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
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