Autoregressive Integrated Moving Average (ARIMA) Models for Birth Forecasting

Abstract Autoregressive integrated moving average (ARIMA) models are developed for birth time series, and their relationship with classical models for population growth is investigated. Parsimonious versions for the ARIMA models are obtained which retain the most important pieces of information including the length of generation of the population. The technique is applied to birth time series data for Norway.