An Investigation of Time Series Models for Forecasting Mixed Migration Flows: Focusing in Germany
CC BY
Lưu vào:
Tác giả chính: | , , |
---|---|
Định dạng: | Sách |
Ngôn ngữ: | English |
Nhà xuất bản: |
Springer
2023
|
Chủ đề: | |
Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s43069-023-00212-9 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7885 |
Từ khóa: |
Thêm từ khóa
Không có từ khóa, Hãy là người đầu tiên đánh dấu biểu ghi này!
|
id |
oai:localhost:PNK-7885 |
---|---|
record_format |
dspace |
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 |
8.891695 |