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ArticleMultiple moves and return migration within developing countries: A comparative analysis 2020
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No results found.This paper sheds new light on internal migration processes by estimating stylized migration histories for populations in 31 countries. The focus is on repeat migration and on return migration back to rural areas from urban areas. Migration histories are portrayed by introducing migration pathway matrices, representing the shares of the population (by gender) that have moved or stayed in rural and urban areas over three periods (childhood and two forward periods). Using data from Demographic and Health Surveys (DHS), the estimation of national migration pathway matrices was done with an information-theoretic procedure using maximum-entropy econometrics to estimate migration frequencies by population groups. Moving multiple times is found to be a consolidated practice in all countries analysed. Sizeable urban-to-rural migration flows are found, with rural returnees often contributing substantially to these flows. This phenomenon is more pronounced in countries in relatively early phases of economic development and among male migrants. For the sample of countries in sub-Saharan Africa, on average, 51% of men and 32% of women migrating from urban to rural areas are return migrants who lived in rural areas as children. Results indicate many migrants move multiple times: In the overall sample of countries, at least 43% of men and 36% of women who move once will move a second time (or more), accounting for nearly 120 million individuals. We find large differences in migration histories across genders, with these differences tending to be smaller for countries that are further along their economic development path and more urbanised. -
DocumentAgency, Education and Networks: Gender and International Migration from Albania 2008
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No results found.Our paper examines the causes and dynamics of the shift in the gender composition of migration, and more particularly, in the access of women to migration opportunities and decision making. We do this in the context of Albania, a natural laboratory for studying migration developments given that out-migration was practically eliminated from the end of WWII to the end of the 1980s. We use micro-level data from the Albania 2005 LSMS including migration histories for family members since migration b egan. Our analysis, based on discrete-time hazard models, shows an impressive expansion of female participation in international migration. Female migration, which we find to be strongly associated with education, wealth, and social capital, appears responsive to economic incentives and constraints. Yet, using unique data on the dependency of female migration to the household demographic structure as well as the sensitivity of female migration to household-level shocks, we show that it is the ho useholds themselves that are the decision-making agents behind this economic calculus and there is little to suggest that increased female migration signals the emergence of female agency. -
No Thumbnail AvailableBook (stand-alone)The application of a spatial regression model to the analysis and mapping poverty 2003
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