International Migration and Sending Countries, E. ?stergaard-Nielsen
Автор: ?stergaard-Nielsen Название: International Migration and Sending Countries ISBN: 1403902518 ISBN-13(EAN): 9781403902511 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Drawing on case-studies from the Americas, Europe, Africa and Asia, International Migration and Sending Countries demonstrates how sending countries are emerging as complex and significant actors in migration politics.
Автор: Borjas Название: Poverty, International Migration and Asylum ISBN: 1403943656 ISBN-13(EAN): 9781403943651 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: his book examines the economic consequences of immigration and asylum migration, it focuses on the economic consequences of legal and illegal immigration as well as placing the study of immigration in a global context.
Описание: Offers an account of how Peruvian emigrants raise and remit money and what that activity means for themselves and for their home communities.
Автор: Lazaridis Gabriella Название: International Migration into Europe ISBN: 1137384956 ISBN-13(EAN): 9781137384959 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book aims to decipher the complex web of structural, institutional and cultural contradictions which shape the inclusion-exclusion dialectic and the multifaceted grid within which the `us` becomes the `other` and the `other` becomes the `us`. It looks at how international migrants in Europe transform from legal subjects into legal abjects.
Автор: Jakub Bijak; Arkadiusz Wisniowski Название: Forecasting International Migration in Europe: A Bayesian View ISBN: 940073395X ISBN-13(EAN): 9789400733954 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines how to forecast the international migration component in a way that can be used for population forecasts using the probabilistic approach. It applies Bayesian statistical methods to an under-researched area of population forecasting.
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