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Titlebook: Understanding Migration with Macroeconomics; Eugenia Vella,Jordi Caballé,Joan Llull Book 2020 The Editor(s) (if applicable) and The Author

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发表于 2025-3-21 19:09:24 | 显示全部楼层 |阅读模式
书目名称Understanding Migration with Macroeconomics
编辑Eugenia Vella,Jordi Caballé,Joan Llull
视频video
概述Analyses empirically and theoretically the challenges international economic migration generates both in sending and receiving countries.Looks at important issues in the current debates related to the
图书封面Titlebook: Understanding Migration with Macroeconomics;  Eugenia Vella,Jordi Caballé,Joan Llull Book 2020 The Editor(s) (if applicable) and The Author
描述.This edited collection includes (but is not limited to) contributions in the form of chapters from the participants of the Workshop on the Macroeconomics of Migration at the University of Sheffield in June 2018. Migration is one of the most debated issues currently and is a pervasive feature of our economies. While extensive academic work has looked at the microeconomic aspects of migration, an open question is to better understand the links between migration and macroeconomic aggregates, such as per capita GDP. This book explores this overarching question, which has hit the key political and social debates all over Europe. Countries that are traditionally viewed as hosting economies for immigrants, such as for instance the UK and Germany, are concerned by immigration, while sending countries, such as Southern and Eastern European countries, are concerned by emigration. The contributions in this edited collection analyse empirically and theoretically the challenges international economic migration generates both in sending and receiving countries, thus offering a comprehensive approach to the question asked above..The book looks at several important issues in the current debates r
出版日期Book 2020
关键词Migration; Labour markets; Productivity; Public finances; Macroeconomic aggregates
版次1
doihttps://doi.org/10.1007/978-3-030-40981-4
isbn_softcover978-3-030-40983-8
isbn_ebook978-3-030-40981-4
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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发表于 2025-3-21 22:52:02 | 显示全部楼层
Eugenia Vella,Jordi Caballé,Joan LlullAnalyses empirically and theoretically the challenges international economic migration generates both in sending and receiving countries.Looks at important issues in the current debates related to the
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https://doi.org/10.1007/978-3-030-40981-4Migration; Labour markets; Productivity; Public finances; Macroeconomic aggregates
发表于 2025-3-22 14:48:55 | 显示全部楼层
Book 2020s in this edited collection analyse empirically and theoretically the challenges international economic migration generates both in sending and receiving countries, thus offering a comprehensive approach to the question asked above..The book looks at several important issues in the current debates r
发表于 2025-3-22 19:08:47 | 显示全部楼层
Joan Llull orientation field matching is then fused with the minutiae-based matching. Thus the proposed scheme can enhance the performance of the system and obtain better matching accuracy than conventional methods.
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Hippolyte d’Albis,Ekrame Boubtaneity of computation. The proposed algorithm can capture the important yet salient content as the key frame. Its robustness and adaptability are validated by experiments with various kinds of video sequences.
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Emily R. Barkercuracy of 96.92% using the selected and correlated features—ADMCI3, AV45, APOE4, AV45AB12, ADASQ4, RAVLT_perc_forgetting, AD_CGH_L, MD_CGH_L, RD_CGH_L, etc. than other models. The study findings showed that by using neuropsychological data combined with cognitive data, machine learning techniques could help diagnose AD.
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estricting myself to the one area of symbolism, I find that all too frequently I can make only brief allusions to problems. My purpose, then, is to attempt to identify particular areas of possible research and, where possible, to mention existing work.
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