Publication: The Migration and Remittances Factbook 2008
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Date
2008
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2008
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This fact book for 2008 attempts to present numbers and facts behind the stories of international migration and remittances, drawing on authoritative, publicly available data. It provides a snapshot of statistics on immigration, emigration, skilled emigration, and remittance flows for 194 countries and 13 regional and income groups. The top migrant destination countries are the United States, the Russian Federation, Germany, Ukraine, and France. The top immigration countries, relative to population, are Qatar (78 percent), the United Arab Emirates (71 percent), Kuwait (62 percent), Singapore (43 percent), Israel (40 percent), and Jordan (39 percent). The authors have attempted to present the best possible data in the Fact book, drawing on authoritative sources. However, the user is advised to take note of the pitfalls of using currently available migration and remittances data. Remittance flows and the stock of migrants may be underestimated due to the use of informal remittance channels, irregular migration, and ambiguity in the definition of migrants (foreign born versus foreigner, seasonal versus permanent). Considerably more effort is needed to improve the quality of data.
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“World Bank. 2008. The Migration and Remittances Factbook 2008. © World Bank. http://hdl.handle.net/10986/6383 License: CC BY 3.0 IGO.”
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The model focuses on assessing the role of financial development in determining the growth impact of remittance flows to the region. The paper is organized in four main sections. Section two looks at the scope of migration movements in the four North African countries and the importance of remittance flows to the region. It shows the historical, current and future importance of remittance flows to North African economies. The third section elaborates upon what is known about the economic impacts of remittances at large. It details the major potential macroeconomic impacts of remittances through a literature review on growth and remittances. It also looks at the various channels through which remittances can impact growth. Section four presents an econometric model evaluating the growth impact of remittances with and without the financial sector variable and the results. The fifth section summarizes the main results and concludes.Publication Migration and Remittances : Eastern Europe and the Former Soviet Union(Washington, DC: World Bank, 2007)In regard to migration and remittances for Eastern Europe and the Former Soviet Union, the overview chapter summarizes the main findings that are developed in much greater detail in later chapters. The core focus of this report is on documenting the trends of international migration and remittances in this region since the period of transition (chapters one and two) and discussing the determinants of migration in this region (chapter three). A final chapter (chapter four) reviews the organization of international migration policy in the region. It details the nature and types of bilateral migration schemes in place between Europe and Central Asia (ECA) countries and between ECA and Western Europe and identifies some of their limitations. The final section of chapter four suggests some avenues through which bilateral migration agreements could be improved.Publication Migration and Remittances(2015-04-13)Using newly available census data, the stock of international migrants is estimated at 247 million in 2013, significantly larger than the previous estimate of 232 million, and is expected to surpass 250 million in 2015. Migrants’ remittances to developing countries are estimated to have reached $436 billion in 2014, a 4.4 percent increase over the 2013 level. All developing regions recorded positive growth except Europe and Central Asia (ECA), where remittance flows contracted due to the deterioration of the Russian economy and the depreciation of the ruble. 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They consider, among other things, the significance of the level of migration, the education level of migrants, and financial sector development in determining remittances. Given the potential endogeneity problems, the migration and financial development variables are instrumented in the estimation. They find that the migration level is the main driver of remittance flows, even after controlling for the endogeneity bias through instrumental variable estimation. The authors also find that the education level of migrants relative to the population in home countries, the size of the economy, and the level of economic development of recipient countries adversely affect remittance flows. While they find the effect of financial sector development to be positive, its significance is not strongly supported in their analysis.
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