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Monitoring international migration flows in Europe. Towards a statistical data base combining data from different
European Journal of Population = Revue Europeenne De Demographie
|January 1, 1994
Summary
This paper reviews methods from demography, geography, and statistics to integrate international migration data. Combining diverse data sources creates a robust database for policy and research.
Area of Science:
- Demography
- Geography
- Statistics
- Migration Studies
Background:
- Existing international migration data is often fragmented and insufficient for policy needs.
- Bridging the gap requires integrating data from multiple sources for a comprehensive view.
- Understanding migration requires detailed, accurate, and up-to-date information.
Purpose of the Study:
- To review and synthesize techniques for combining disparate international migration data.
- To establish a coherent and consistent database for policy-making and research.
- To explore statistical modeling approaches for migration data.
Main Methods:
- Review of techniques from demography, geography, and statistics.
- Data integration strategies from multiple sources.
- Application of stochastic process models to migration data.
Main Results:
- Combining data from various sources is essential for creating a robust migration database.
- Statistical models can link underlying migration processes to observed data outcomes.
- Experience from the U.S. Bureau of the Census and European initiatives demonstrates practical application.
Conclusions:
- Integrating diverse data sources is key to improving international migration statistics.
- Stochastic process models offer a framework for analyzing and understanding migration patterns.
- Coherent databases are crucial for effective migration policy and research.
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