The article discusses the possibilities and limitations of the Russian statistics of admission to citizenship in the context of Russian migration policy research. The author explores the main types and sources of data as well as the indicators reflecting the composition of new citizens of Russia by the country of the previous residence and by the main grounds of admission to citizenship. Through the prism of administrative statistics of admission to citizenship of the Russian Federation, the author assesses the nature of Russia’s migration policy in the post-Soviet period and makes conclusions about an unreasonably broad implementation of simplified procedures for admission to citizenship and weak selectivity of migration policy. The article also considers the issues of granting citizenship through the foreign missions of the Russian Federation. Possible approaches to the calculation of naturalization rates on the basis of available data in Russia are discussed, the quality of statistics on long-term international migration in Russia is also assessed. The conclusion is made about the need to develop administrative statistics on the acquisition of citizenship, as well as the more efficient use of the possibilities of Rosstat in terms of inclusion of questions about the way of naturalization into the programs of population census and sample surveys.

The paper presents methods to assess the effects of participation in vocational training of Russian workers. The authors propose alternative to the existing methodology approach that allows researching the impact of vocational training not only on the wage level, but on the formation of the whole professional trajectory. The study is based on the data from HSE Russian longitudinal monitoring survey (RLMS-HSE)1. Based on this data were formed two samples: the group of workers that have an experience of participation in vocational training programs, as well as the control group that includes people without any experience of vocational education. Then the career trajectories in these groups are compared. However, the direct comparison of the groups may cause the bias of the results. In order to resolve this problem, the authors employ propensity score matching (PSM) technique that allows balancing the propensities to participation in vocational training in two groups. Treatment and control groups formed based on PSM algorithm were compared using sequence analysis methodology that allows analyzing the distribution dynamics of individuals across states of the system; estimate the level of diversity of career trajectories based on concentration indices. The results of the study suggest that workers with experience of vocational training have more diverse professional paths with more intense vertical and horizontal mobility. This conclusion confrms that vocational training provides flexibility of individuals on the labor market.

The reason for studying methods of increasing investment activity lies in the insufcient effectiveness of current market mechanisms responsible for attracting investments into regions. The state and regions (constituent entities) take on regulatory function provided by the federal and regional legislation. Here arises the need to study processes regulating investments and monitoring the regulatory impact. It is important to assess the use of statistical methods not only for individual episodes, but also for mass phenomena. In this article on the basis of dynamic model of panel regression of investments the author tested the impact of the 35 forms of support on investments into regions of the Russian Federation. The results of econometric studies allowed to identify the incentives and methods of stimulation most effective for the development of investment activity, and thus determine the directions for improving regional legislation. Of all types of investment support the most positive effect on the regions has the effective marketing. Second most effective group of measures is associated with preparation of production conditions and factors of production, such as: training and retraining of personnel, grants for building of the infrastructure. The next group of methods consists of fnancial and economic support: budget loans and concessional loans; tax exemptions (including grants-in-aid); budget investments, investment tax credits.

This article coincides with the 100th anniversary of the foundation of the Central Statistical Board (CSB). It recreates the general outline of events related to the establishment of the Central Statistical Board of the RSFSR in July 1918. The authors demonstrate the impact of the current situation at that time on this decision, first and foremost, the unwillingness of the pre-revolutionary CSK to cooperate with the Soviet authorities. Discussions surrounding the establishmentof the CSВ and the organizing principles of the Soviet statistics are considered. The role of Zemstvo statisticians, who accepted the new government in the country after the events of October 1917, is shown. The problems that the CSB faced as a body that made upthe structure of Soviet power are indicated.