Asylum-seekers at the extremes

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.

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Publication Details

Journal
Journal of the Royal Statistical Society Series A (Statistics in Society)
Published
2025-11-21
DOI
https://doi.org/10.1093/jrsssa/qnaf196
Primary Topic
Migration and Labor Dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

Asylum-seekers at the extremes

Marco Bee, Mohammad Noori
Journal of the Royal Statistical Society Series A (Statistics in Society)
Migration and Labor Dynamics
article

Asylum-seekers at the extremes

Marco Bee, Mohammad Noori
article en

Abstract

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.

Journal of the Royal Statistical Society Series A (Statistics in Society)
University of Trento (IT)
Openalex Percentile: Top 52%
Migration and Labor Dynamics
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