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Bilateral international migration flow estimates for 200 countries

Abel, Guy and Cohen, Joel E. (2019) Bilateral international migration flow estimates for 200 countries. Scientific Data, 6 (1). pp. 1-13. ISSN 2052-4463

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Abstract

Data on stocks and flows of international migration are necessary to understand migrant patterns and trends and to monitor and evaluate migration-relevant international development agendas. Many countries do not publish data on bilateral migration flows. At least six methods have been proposed recently to estimate bilateral migration flows between all origin-destination country pairs based on migrant stock data published by the World Bank and United Nations. We apply each of these methods to the latest available stock data to provide six estimates of five-year bilateral migration flows between 1990 and 2015. To assess the resulting estimates, we correlate estimates of six migration measures from each method with equivalent reported data where possible. Such systematic efforts at validation have largely been neglected thus far. We show that the correlation between the reported data and the estimates varies widely among different migration measures, over space, and over time. We find that the two methods using a closed demographic accounting approach perform consistently better than the four other estimation approaches.

Item Type: Article
Additional Information: G.J.A. acknowledges with the thanks the support of the National Science Foundation of China funding research fund for International Young Scientists (Grant Agreement Number: 41650110483). J.E.C. acknowledges with thanks the support of U.S. National Science Foundation grant DMS-1225529 during the early phases of this work and the assistance of Roseanne K. Benjamin.
Divisions: Departments > Sozioökonomie > Sozialpolitik > Demographie > Wittgenstein Centre
Version of the Document: Published
Depositing User: ePub Administrator
Date Deposited: 29 Jul 2019 15:18
Last Modified: 29 Jul 2019 15:18
Related URLs:
URI: http://epub.wu.ac.at/id/eprint/7075

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