BIG DATA AND STATISTICS ON MIGRATION
Abstract
This article presents the first part of the work devoted to the application of innovative approaches to statistics on migration, their directions and priorities. It is focused on the emerging use of Big Data in measuring migration. It is concluded that in the foreseeable future, Big Data will find its niche among the sources of information on population movements. However, at present they can only be used for estimations of various forms of short-term population mobility and shifts in its spatial distribution at certain moments or periods of time. It is not possible to apply to the Big Data the criteria of a migrant and migration identification that are used in official statistics, first of all - the concept of place of usual residence. An important limitation is also the lack of different variables characterizing the structure of migration flows and stocks. It is concluded that Big Data is not yet suitable to become an alternative to the traditional sources of information for the production of reliable and comprehensive statistics on migration. The potential of the latest is far from being exhausted, but the current situation is characterized by a complex of problems that require implementation of advanced technological solutions. Positive anticipations dealing with possible improvement of the situation are associated with establishment of the population register of Russia.
About the Author
O. S. Chudinovskikh
Lomonosov Moscow State University
Russian Federation
Russian Federation
Olga S. Chudinovskikh - Cand. Sci. (Econ.), Acting Head of the Laboratory of Economics of Population and Demography, Faculty of Economics.
GSP-1, 1-46, Leninskiye Gory, Moscow, 119991References
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For citations:
Chudinovskikh O.S. BIG DATA AND STATISTICS ON MIGRATION. Voprosy statistiki. 2018;25(2):48-56. (In Russ.)
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