We have combined a simple demographic model and the 58 sector econometric simulation and forecasting model INFORGE (Interindustry Forecasting Germany) which has been successfully used in different areas, e.g. modelling the effects of CO2 taxes and the liberalisation of the IT market on the...

Migration from Africa and the Middle East to the EU has intensified over the last two decades. Relative differences between developed EU and less developed African and Middle East countries have not declined that much and continue to drive mobility. Also, demographic trends show a strong...

Governments across the globe are progressively becoming aware of the increasing significance of international migration and remittances on the international development agenda. Remittances are perceived as one of the key benefits that migration bring to originating countries. Zimbabweans abroad...

All over Europe, ageing populations threaten nations' financial sustainability. In this paper we examine the potential of immigration to strengthen financial sustainability. We look at a particularly challenging case, namely that of Denmark, which has extensive tax-financed welfare programmes...

The paper attempts to determine regional unemployment rates for NUTS 2 regions based on data available on a regular basis from Eurostat and ILO. In the first part it is shown how the evolution of regional unemployment rates is determined by national unemployment rates by industry and the...

Unemployment is notoriously difficult to predict. In previous studies, once country fixed effects are added to panel estimates, few variables predict changes in unemployment rates. Using panel data for 29 European countries - Austria; Belgium; Bulgaria; Croatia; Cyprus; Czechia; Denmark; Estonia;...

Can economic theory help - forecasting key macroeconomic variables? This article aims to provide some insight into the question by drawing lessons from the literature. The definition of ‘economic theory’ includes a broad range of examples, such as accounting identities, disaggregation and...

In this paper, we compare two popular statistical learning techniques, logistic regression and random forest, with respect to their ability to classify jobseekers by their likelihood to become long-term unemployed. We study the performance of the two methods before the COVID-19 pandemic as well...

This paper studies the predictability of long-term unemployment (LTU) and analyzes its main determinants using rich administrative data in Sweden. Compared to using standard socio-demographic variables, the predictive power more than doubles when leveraging the rich data environment. The largest...

Unemployment is notoriously difficult to predict. In previous studies, once country and year fixed effects are added to panel estimates, few variables predict changes in unemployment rates. Using panel data for 29 European countries collected by the European Commission over 444 months between...