International migration alters the socio-economic conditions of the individuals and families migrating as well as the host and sending countries. The data to study and to track these movements, however, are largely inadequate or missing. Understanding the reasons for these data limitations and...

International migration alters the socio-economic conditions of the individuals and families migrating as well as the host and sending countries. The data to study and to track these movements, however, are largely inadequate or missing. Understanding the reasons for these data limitations and...

In this paper, we illustrate the application of Bayesian time series models to obtain future population estimates with uncertainty. The focus is on a simple projection model with the historical data representing population change in England and Wales from 1841 to 2007. The Bayesian forecasts to...

Descriptive studies of international migration typically rely on measures of migrant stocks and migration rates to assess migration patterns. In this paper, we propose a third alternative. Using harmonized data on age-specific migration flows from and to countries in the European Union (EU) and...

International migration statistics vary considerably from one country to another in terms of measurement, quality and coverage. Furthermore, immigration tend to be captured more accurately than emigration. In this paper, we first describe the need to augment reported flows of international...

The aims of this paper are to present the background and specification of the Integrated Modelling of European Migration (IMEM) model. Currently, international migration data are collected by individual countries with separate collection systems and designs. This creates problems when attempting...

The Bayesian approach has a number of attractive properties for probabilistic forecasting. In this paper, we apply Bayesian time series models to obtain future population estimates with uncertainty for England and Wales. To account for heterogeneity found in the historical data, we add...