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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics ; This paper examines the hypothesis that migration might enhance the demand for political improvements both by migrants and migrant's networks. We use individuallevel survey and behavioral data that were collected during the 2009 elections in Mozambique to show that the proportion of migrants in a village improves the demand for political accountability not only through migrants themselves but also their networks. Whereas the interest in politics is driven by the amount of migrants in the geographical network, the transmission of democratic ideas seems to be fostered by regular contact with migrant households. These results are robust when controlling for self-selection.

Since the 1980s, China's government has eased restrictions on internal migration. This easing, along with rapid growth of the Chinese economy and substantial increases in foreign and domestic investments, has greatly stimulated internal migration. Earlier studies have established that migration patterns were responsive to spatial differences in labor markets in China, especially during the 1990s. However, other important economic and socio-political determinants of interprovincial migration flows have not been considered. These include the size of the migrant community in the destination, foreign direct and domestic fixed asset investments, industry and ethnic mixes and geographic biases in migration patterns. We estimate a modified gravity model of interprovincial migration in China that includes as explanatory variables: migrant networks in the destination province, provincial economic conditions, provincial human capital endowments, domestic and foreign investments made in the province, industry and ethnic mixes in the province, provincial amenities and regional controls, using province-level data obtained from the National Census and China Statistical Press for the 1980s and 1990s. We find strong evidence that migration rates rise with the size of the destination province's migrant community. Foreign and domestic investments influence migration patterns, but sometimes in unexpected ways. We find that as economic reforms in China deepened in the 1990s, the structure of internal migration did not change as much as earlier studies have suggested. Consequently, our results raise new questions about the World's largest-scale test case of internal migration and strongly suggest a need for further research.

Since the 1980s, China's government has eased restrictions on internal migration. This easing, along with rapid growth of the Chinese economy and substantial increases in foreign and domestic investments, has greatly stimulated internal migration. Earlier studies have established that migration patterns were responsive to spatial differences in labor markets in China, especially during the 1990s. However, other important economic and socio-political determinants of interprovincial migration flows have not been considered. These include the size of the migrant community in the destination, foreign direct and domestic fixed asset investments, industry and ethnic mixes and geographic biases in migration patterns. We estimate a modified gravity model of interprovincial migration in China that includes as explanatory variables: migrant networks in the destination province, provincial economic conditions, provincial human capital endowments, domestic and foreign investments made in the province, industry and ethnic mixes in the province, provincial amenities and regional controls, using province-level data obtained from the National Census and China Statistical Press for the 1980s and 1990s. We find strong evidence that migration rates rise with the size of the destination province's migrant community. Foreign and domestic investments influence migration patterns, but sometimes in unexpected ways. We find that as economic reforms in China deepened in the 1990s, the structure of internal migration did not change as much as earlier studies have suggested. Consequently, our results raise new questions about the World's largest-scale test case of internal migration and strongly suggest a need for further research.

This paper examines whether family and community migration experience affect the probability of high school graduation in Mexico once unobserved heterogeneity is accounted for. Bivariate random effects dynamic probit models for cluster data are estimated to control for the endogeneity of education and migrant network variables. Correlation of unobservables across migration and education decisions as well as within groups of individuals such as the family are explicitly controlled for. Results show that migrant networks reduce the likelihood of high school graduation. Negative migrant selection is detected at the individual level while positive migrant selection is found at the family level. -- Migration ; education ; migrant selection ; dynamic bivariate probit

Abstract The interrelations between trade, FDI and migrations have an important impact on the global economy that resulted in the golden age of globalization at first and in a process of slowbalization in the last decade. Against this background, this paper focuses on migrations and FDI and shows that migrant networks encourage cross-border investments. The presence of immigrants is likely to attract new FDI from their country of origin. FDI abroad, furthermore, are positively related to the presence of migrants, thanks to their knowledge of the two markets. We apply a multilevel mixed model to disentangle the hierarchical structure of the data in order to test the relations between FDI and (directional) migration flows. More specifically we test how and to what extent the structure of the international migrants' network contributes to bilateral FDI flows, besides standard models. Results show that migrants' networks exploit the information migrants have on both source and destination markets, and that a more diverse migrants' community in investing countries lowers bilateral FDI.

In recent years the role of social networks and of social capital in shaping migrants' lived experiences and, particularly, their employment opportunity has increasingly come to be recognized. However, very little of this research has adopted a relational understanding of the migrant experience, taking the influence of nonmigrants' own networks on migrants as an important factor in influencing their labour market outcomes. This article critiques the alterity and marginality automatically ascribed to migrants that is implicit in existing ways of thinking about migrant networks. The article draws on oral history interviews with geriatricians who played an important role in the establishment of the discipline during the second half of the 20th century to explore the importance and power of non-migrant networks in influencing migrant labour market opportunities in the UK medical labour market.

This open access book provides new conceptualisations on the networks of migrants and their descendants in accessing the labour market. Although references to social networks are common in discussions of migration, simplified ideas of co-ethnic networks often obscure the reality, for example confounding ties with co-ethnics and 'strong ties'. This open access book addresses key questions about the role of networks in migration contexts, particularly in relation to how migrants and their descendants, access the labour market and develop their employment trajectories over time. Rather than adopting a narrow essentializing ethnic lens, the research presented in this book explores intersectional identities of class, generation and gender. By focusing on the kinds of capital circulating between ties, including the dark side of social capital, the book offers insights into power dynamics and the potentially exclusionary dimension of networks. Taking a long term view, across generations, the research in this book shows how migrants and their descendants mobilize resources to tackle discrimination and enhance their position within particular labour markets. Drawing on robust quantitative and rich qualitative data, this book provides a primary source to students, scholars and policy-makers focusing on issues of migration, social networks, social mobility as well as labour market inequalities.

Aufgrund unterschiedlichem Ernährungs-, Risiko- und Gesundheitsverhalten unterscheidet sich die Mortalität (Sterblichkeit) von Migranten und Nicht-Migranten systematisch. Internationale Untersuchungen stellen übereinstimmend fest, dass trotz der sozioökonomischen Benachteiligung die Migranten stets eine geringere Sterblichkeit als die einheimische Bevölkerung aufweisen. Aus vorliegenden nationalen Studien ergibt sich ebenfalls, dass die Sterblichkeit von erwachsenen Migranten stets geringer als bei erwachsenen Deutschen ist. Dies trifft bei beiden Geschlechtern, in nahezu allen Altersstufen und annähernd sämtlichen Todesursachen zu. Die Ursachen für diese Untersterblichkeit werden hauptsächlich den selektiven Auswahlprozessen bei der Zu- und Rückwanderung (Healthy-Migrant-Effect) zugeschrieben. Diese Ergebnisse beruhen aber, zumindest in Deutschland, möglicherweise auch auf Problemen bei der statistischen Erfassung von Migranten. Es kann geschlussfolgert werden, dass Sterblichkeitsanalysen unter der Berücksichtigung des Migrationsstatus für Deutschland bisher noch nicht umfassend präsentiert worden sind. Für eine systematische Analyse der Sterblichkeit von Migranten in Deutschland wird vorgeschlagen, nicht einen singulären Datensatz zu verwenden, sondern einen Mix verschiedener Datengrundlagen zu nutzen, um die Vorteile der jeweiligen Datensätze zu kombinieren.