Abstract
The paper reviews techniques developed in demography, geography and statistics that are useful for bridging the gap between available data on international migration flows and the information required for policy making and research. The basic idea of the paper is as follows: to establish a coherent and consistent data base that contains sufficiently detailed, up-to-date and accurate information, data from several sources should be combined. That raises issues of definition and measurement, and of how to combine data from different origins properly. The issues may be tackled more easily if the statistics that are being compiled are viewed as different outcomes or manifestations of underlying stochastic processes governing migration. The link between the processes and their outcomes is described by models, the parameters of which must be estimated from the available data. That may be done within the context of socio-demographic accounting. The paper discusses the experience of the U.S. Bureau of the Census in combining migration data from several sources. It also summarizes the many efforts in Europe to establish a coherent and consistent data base on international migration.
The paper was written at IIASA. It is part of the Migration Estimation Study, which is a collaborative IIASA-University of Groningen project, funded by the Netherlands Organization for Scientific Research (NWO). The project aims at developing techniques to obtain improved estimates of international migration flows by country of origin and country of destination.
Résumé
Cet article présente des techniques développées en démographie, géographie et statistique, utiles pour réduire l'écart entre les données disponibles sur les flux de migration internationale et l'information nécessaire pour élaborer des politiques et entreprendre des recherches. L'idée de base est la suivante: pour mettre en place une base de données cohérentes et conséquentes qui contienne une information suffisamment détaillée, à jour et précise, il est nécessaire de combiner des données issues de différentes sources. Cela lève des problèmes de définition et de mesure, et pose la question suivante: comment combiner de façon correcte des données d'origine différente? On peut mieux aborder ces problèmes si les statistiques à réunir sont vues comme différents résultats ou manifestations des processus stochastiques sous-jacents qui régissent les migrations. Le lien entre les processus et leurs manifestations est décrit par des modèles, dont les paramètres doivent être estimés à partir des données disponibles. Cela peut être réalisé dans le contexte de la comptabilité démographique. L'article discute l'expérience du “Bureau of the Census” des États-Unis qui a combiné des données sur les migrations issues de différentes sources. Il présente aussi rapidement les nombreux efforts réalisés en Europe pour établir une base de données cohérente et conséquente sur la migration internationale.
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Willekens, F. Monitoring international migration flows in Europe. Eur J Population 10, 1–42 (1994). https://doi.org/10.1007/BF01268210
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DOI: https://doi.org/10.1007/BF01268210