  This paper presents a quantitative framework for forecasting immigrant
integration using immigrant density as the single driver. By comparing
forecasted integration estimates based on data collected up to specific periods
in time, with observed integration quantities beyond the specified period, we
show that: Our forecasts are prompt-readily available after a short period of
time, accurate-with a small relative error-and finally robust-able to predict
integration correctly for several years to come. The research reported here
proves that the proposed model of integration and its forecast framework are
simple and effective tools to reduce uncertainties about how integration
phenomena emerge and how they are likely to develop in response to increased
migration levels in the future.
