The relative expansion rates
26of N and T could have important consequences for the asymptotic and small sample
properties of the panel estimators and tests. This is because fixed T estimation bias tend
to magnify with increases in the cross section dimension, and it is important that any
bias in the T dimension is corrected in such a way that its overall impact disappears as
both N and T → ∞, jointly.