Fixed-effects models
A) remove the time-variant component of the error term.
B) remove the time-invariant component of the error term.
C) work by first-differencing the data.
D) remove the heteroskedasticity in the data.
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Q2: First-differenced models are preferable to pooled cross-section
Q3: The fact that panel data varies across
Q4: If there is a pooled cross-section model
Q5: Fixed-effects models are more appropriate than random-effects
Q6: One can first-difference panel data in a
Q8: Pooled cross-section models
A)control for individual fixed-effects.
B)combine observations
Q9: Treating each data point in panel data
Q10: Fixed-effects models are preferable to pooled cross-section
Q11: Fixed-effects models and first-differenced models
A)assume that the
Q12: Random-effects models improve on pooled cross-section models
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