
handle: 11572/467551
Abstract This article conducts a first-hand study on forecasting asylum-seekers’ applications across seven major host countries, i.e. the USA, Germany, France, Italy, Spain, Austria, and Greece by 2027. Poisson regression is used for flow forecasting and Extreme Value Theory for the maximum monthly number of applications. As for the latter, we first employ a static version of the Peaks-over-Threshold approach, before modelling the possible non-stationarity of the exceedances via a Generalized Pareto Distribution with time-varying parameters. Overall, the findings are in line with one another and can provide a useful road map to policymakers.
extremes, forecasting, migration, refugees, statistical modelling
extremes, forecasting, migration, refugees, statistical modelling
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
