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An Investigation of Time Series Models for Forecasting Mixed Migration Flows: Focusing in Germany

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Bibliographic Details
Main Authors: Vasiliki, Mebelli, Maria, Drakaki, Panagiotis, Tzionas
Format: Book
Language:English
Published: Springer 2023
Subjects:
Refugee and migrant
Focusing in Germany
Online Access:https://link.springer.com/article/10.1007/s43069-023-00212-9
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7885
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spelling oai:localhost:PNK-78852023-04-13T03:51:48Z An Investigation of Time Series Models for Forecasting Mixed Migration Flows: Focusing in Germany Vasiliki, Mebelli Maria, Drakaki Panagiotis, Tzionas Refugee and migrant Focusing in Germany CC BY Refugee and migrant (mixed migration) flows in the Mediterranean have been in the spotlight of both policy and research, especially since 2015. Mixed migration is a volatile international phenomenon with considerable and debatable impacts on society and economy. This paper investigates the performance of time series forecasting methods based on EUROSTAT datasets focusing on asylum seekers. Germany has been selected to reflect on the ability of the models to predict the future behavior of an extremely volatile migrant mobility. Exponential smoothing and autoregressive integrated moving average (ARIMA) models have been used for the forecasting of asylum seekers. Monthly records of first-time asylum seekers have been used from January of 2008 up to September of 2020. The results demonstrate clearly that more research is needed on this field, taking into account the complexity of the characteristics of international migration, in order to assist decision-making in migration management. 2023-04-13T03:51:48Z 2023-04-13T03:51:48Z 2023 Book https://link.springer.com/article/10.1007/s43069-023-00212-9 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7885 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Refugee and migrant
Focusing in Germany
spellingShingle Refugee and migrant
Focusing in Germany
Vasiliki, Mebelli
Maria, Drakaki
Panagiotis, Tzionas
An Investigation of Time Series Models for Forecasting Mixed Migration Flows: Focusing in Germany
description CC BY
format Book
author Vasiliki, Mebelli
Maria, Drakaki
Panagiotis, Tzionas
author_facet Vasiliki, Mebelli
Maria, Drakaki
Panagiotis, Tzionas
author_sort Vasiliki, Mebelli
title An Investigation of Time Series Models for Forecasting Mixed Migration Flows: Focusing in Germany
title_short An Investigation of Time Series Models for Forecasting Mixed Migration Flows: Focusing in Germany
title_full An Investigation of Time Series Models for Forecasting Mixed Migration Flows: Focusing in Germany
title_fullStr An Investigation of Time Series Models for Forecasting Mixed Migration Flows: Focusing in Germany
title_full_unstemmed An Investigation of Time Series Models for Forecasting Mixed Migration Flows: Focusing in Germany
title_sort investigation of time series models for forecasting mixed migration flows: focusing in germany
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s43069-023-00212-9
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7885
_version_ 1763090281346891776
score 8.881002

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