Evaluation of transformations in forecasting age specific birth rates.

Abstract The value of power transformations in forecasting age specific birth rates is expressed in terms of a relative mean squared forecast error for five powers and two ARIMA models. Of the transformations studied, the reciprocal of birth rates appears to be of greatest value, but the gains from using the transformation are quite modest, even when the model fitted to the data is chosen with care.