 Random effect models assist in controlling for unobserved heterogeneity when the heterogeneity is constant over time and not correlated with independent variables.This constant can be removed from longitudinal data through differencing, since taking a first difference will remove any time invariant components of the model.Two common assumptions can be made about the individual specific effect