Methods of Statistical Estimation of Circular Migration and Formal And
Statistical Journal of the IAOS 36 (2020) 535–547 535 DOI 10.3233/SJI-190604 IOS Press Methods of statistical estimation of circular migration and formal and informal employment in the Moscow agglomeration based on the integration of various data sources Polina Kriuchkovaa;b, Filipp Sleznovc;d;∗, Denis Fomchenkoc, Vladimir Laikamc and Igor Zakharchenkovc aThe Department of Economic Policy and Development, Moscow City Government, Moscow, Russia bHigher School of Economics, The National Research University, Moscow, Russia cThe Analytical Center of Moscow Government, Moscow, Russia dLomonosov Moscow State University, Moscow, Russia Abstract. Assessing circular migration, formal and informal employment and its spatiotemporal characteristics is a complex methodological and practical task for official statistics. A combination of various data sources, including official statistics, administrative data, and data from mobile operators, may provide new opportunities for obtaining circular migration, formal and informal employment estimates for the purposes of various levels of government, including the level of city management. The purpose of this paper is to demonstrate how the use of administrative data together with the mobile operators’ data can promptly improve the accuracy and informativeness of statistical indicators of the labor market including formal and informal employment, circular migration, etc. The population and employment in Moscow and in the Moscow agglomeration are the subjects of this paper. Authors combine several data sources such as the federal administrative data from the Pension Fund of the Russian Federation and the Federal Tax Authority, data from the Moscow city online public services, data from the mobile phone operators, as well as official statistical information provided by Russian Statistic Authority.
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