Prospects for the Comparative Study of International Migration using quasi-longitudinal micro-data. Public Deposited

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  • BACKGROUND: Longitudinal micro-level data about international migration behavior are notoriously difficult to collect, but data collection efforts have become more frequent in recent years. Comparative research of the patterns and processes of international migration, however, remains quite rare, especially that which compares across regions. OBJECTIVE: We highlight the promises and difficulties of comparative international migration research, by offering a detailed comparison of two prominent data collection efforts. METHODS: We systematically review existing sources of longitudinal and quasi-longitudinal individual-level and household-level data of international migration. We then compare two widely-used data sources: the Mexican Migration Project (MMP) and the Migration between Africa and Europe project (MAFE). RESULTS: Data collection efforts are increasingly diverse, yet public accessibility of data remains limited. Also, comparability of data collected across settings can be complicated. In our MMP-MAFE analysis, we show some ways in which comparability can be achieved. CONCLUSIONS: A primary roadblock to international comparative research is that, with some exceptions, the public accessibility of data remains low. Even when data is public and surveys are modeled after one another, comparability is not easy due to necessary trade-offs in adapting surveys to local settings and to developments in the field. CONTRIBUTION: We demonstrate that, despite great strides in collecting quasi-longitudinal data of international migration, data accessibility still hinders the study of migration. With regards to comparability, our article provides important lessons for future data collection and analysis efforts that could improve comparability and thus advance understanding of the complex dynamics of international migration.
Date Issued
  • 2016-07-01
Academic Affiliation
Journal Title
Journal Volume
  • 35
File Extent
  • 745-782
Last Modified
  • 2019-12-05
  • PubMed ID: 29276429
Resource Type
Rights Statement
  • 1435-9871