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.

Asylum-Seekers at the Extremes / Noori, Mohammad; Bee, Marco. - In: JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A. STATISTICS IN SOCIETY. - ISSN 0964-1998. - 2025:(2025). [10.1093/jrsssa/qnaf196]

Asylum-Seekers at the Extremes

Noori, Mohammad
Primo
;
Bee, Marco
Ultimo
2025-01-01

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.
2025
Noori, Mohammad; Bee, Marco
Asylum-Seekers at the Extremes / Noori, Mohammad; Bee, Marco. - In: JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A. STATISTICS IN SOCIETY. - ISSN 0964-1998. - 2025:(2025). [10.1093/jrsssa/qnaf196]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/467551
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