By means of Monte Carlo experiments the loss of efficiency of the main error components' models estimators is analyzed if from a panel data base those individuals are dropped for which the observations are not complete. An empirical risk function has been estimated. This can help to measure the risk of the use of complete sub-panels instead of the original but incomplete ones.