The aim of the study is to analyze the extent of the presence of migrants and their behavior in the Russian labor market on the basis of largescale sociological surveys of migrants. This is especially important in the absence of reliable statistics on migrants in the labor market. The main attention is paid to the employment profiles of representatives of various socio-demographic and ethnic groups, illegal and informal employment, the intensity and wages of migrants from countries with a visa-free regime with Russia. Particular attention is paid to labor mobility of migrants. The main empirical basis for analysis was the results of sociological polls conducted by the Center for Ethnopolitical and Regional Studies for the Higher School of Economics in 2011. (8,5 thousand respondents) and in 2017 (8,6 thousand migrants in 19 regions of Russia). The study showed that education, qualifications, professional knowledge of migrants are not in demand on the Russian market, the typical path of migrants in the labor market is downward labor mobility – occupying a job that is worse than previously occupied in the homeland. At the same time, migrants are adapted to changes in the labor market, which is largely facilitated by the differentiation of migrant employment and the vertical mobility of some of them. Innovations in Russian legislation which came into force in 2015, as well as the integration process within the framework of the Eurasian Economic Union (EEA), which greatly facilitated access to jobs in Russia for citizens of the countries of the EEA, had a positive impact on the Russian labor market. The share of illegally employed migrants has significantly decreased in comparison with previous years. At the same time, the problem of informal employment of foreign citizens, excessive exploitation of migrant labor remains. The problems of combating forced labor of migrants and ensuring their decent labor come to the fore. Civilized conditions should be created for the legalization of labor activity of migrants, stimulating their reorientation to integrate into Russian society. The most serious attention should be paid to preventing the social exclusion of migrants to work in Russia, creating effective tools for their secondary socialization and adaptation to Russian realities.

ARTICLE RETRACTEDThe article deals with the problems and the key directions of The article deals with the problems and key directions of innovative development of the Russian industry in connection with the need to reduce the dependence of the national economy on the situation on world commodity markets, as well as to create the conditions and incentives for the introduction and modern technologies development, improving energy and environmental efficiency of the economy and productivity for the development of economic sectors and industries, producing goods with high added value for the implementation of innovative projects and in general - to upgrade the socio-economic system of the country.The following statement is given: the development of innovative high-tech and knowledge-intensive industries must ensure import substitution products at the first stage, primarily in the militaryindustrial complex, and in the future - export-oriented competitive product.The article analyzes the experience of innovative activity of the integrated corporate structures with the participation of the state in the following areas: the integration of the industrial and financial capital; the concentration of capital (through the merger and acquisition of enterprises, strategic alliances); diversification of forms and fields of activity; globalization of activities (creation of subsidiaries in the most attractive countries and working on promising markets); capital internationalization (through the creation of transnational companies).On the basis of generalization of global corporate management experience in the state corporations the article analyzes key conditions and factors that determine the efficiency of the state-owned companies as a whole: a clear statement of goals and objectives of the state as the owner, whose interests go beyond the usual business purposes; fixing of these goals and objectives in the regulations, in the concepts and programs of long-term socioeconomic development of the country, in special agreements between the government and public sector enterprises, as well as in the statutes, in the policy and budgetary documents of state corporations; the creation of state corporations administration system that allows to carry out the separation of the control and management functions, to ensure coherence and consistency of the implementation of the asset management policy, the uniformity of the rules of management of state property on the basis of common rules; harmonization of interests of the state and private investors, their documentary fixation (for corporate plans, agreements between the parties, etc.) in order to limit undue state interference in the activities of state-owned companies, on the one hand, and protection from lobbying strain - on the other hand; increasing business transparency, which is the foundation of good governance; the establishment of effective operational management systems, including goal setting and planning, reporting, monitoring, control and evaluation of companies, risk management and information disclosure.

Possibilities of applying intelligent machine learning technique based on support vectors for predicting investment measures are considered in the article. The base features of support vector method over traditional econometric techniques for improving the forecast quality are described. Computer modeling results in terms of tuning support vector machine models developed with programming language Python for predicting some investment measures are shown.

The article describes how to develop interactive graphical tools to illustrate the basic concepts of econometrics: linear regression, index of determination, autocorrelation, heteroscedasticity, etc. the Implementation is made in the spreadsheet program Excel using the simulation method and can be useful in teaching discipline

The article gives a practical example of the application of benchmarking techniques. The object of study selected fashion store Company «HLB & M Hennes & Mauritz», located in the shopping center «Gallery», Krasnodar. Hennes & Mauritz. The purpose of this article is to identify the best ways to develop a fashionable brand clothing store Hennes & Mauritz on the basis of benchmarking techniques. On the basis of conducted market research is a comparative analysis of the data from different perspectives. The result of the author’s study is a generalization of the ndings, the development of the key success factors that will allow to plan a successful trading activities in the future, based on the best experience of competitors.

The article is dedicated to the problem of retail stock optimization within mo-nopolistic competition market while selling non-food goods to customers on-credit. Optimization model has been developed and appropriate technique of stock volume planning has been introduced

Article retrcted The main aspects of cooperation in the economic system of the region are concretized. It is shown that the parties of cooperation have their own interests, due to the goals and tasks of functioning. Core interests of the various parties on the basis of which has developed a system of incentives for the establishment of a multilateral cooperation between authorities with business structures are isolated and grounded.

The hypothesis of the article is that there is a special commercial exchange rate of the rupee to the dollar. The author proves that India and Russia trade using this exchange rate contrary to the official exchange rate of the Reserve Bank of India. The article concludes that the commercial exchange rate of the rupee is the basic mechanism for its internationalization and indirect support and protection of Indian manufacturers against external rivalry

The purpose of this research is detection of characteristic features and regularities in food consumption by the population of the Arkhangelsk region on the basis of statistical estimation of such econometric indicators as the growth rate of food expenditures with change of the income of households of this population, and also income elasticity of expenditures and income elasticity of a share of food expenditures. For calculation of these indicators the nonlinear one-factorial regression model describing interrelation of the income and food expenditures of the population of the Arkhangelsk region was offered. In the paper the considerable attention is paid to check of accomplishment of conditions of reliability and importance of this regression model. For carrying out the statistical analysis microdata of selective examinations of budgets of the households of the Arkhangelsk region for the IV quarter of 2012 conducted by Rosstat were used. For data processing the packet of the statistical analysis of SPSS was used, and the solution of objectives was performed by methods of the correlation and regression analysis, and also by means of check of distributions of the researched quantities to a normality and the analysis of a regression residuals. During the research double logarithmic regression model was developed and statistically significant equation of regression which adequately describes interrelation of an income and food expenditures of households of the Arkhangelsk region is received. Proceeding from the received regression equation, income elasticities of expenditures and of a share of food expenditures were calculated: value of elasticity of the first size showed that in case of increase in incomes of the population of the Arkhangelsk region by 1% food expenditures increase on average for 0,5%, the received negative value of elasticity of a share of food expenditures demonstrates that in case of increase in incomes of this population by 1% the share of food expenditures decreases on average for 0,5%. On the basis of the carried-out regression analysis where, in addition, special attention was paid to check of observance of necessary conditions for its application, and estimation of the corresponding econometric indicators, it is possible to draw the following conclusions on food consumption by the population of the Arkhangelsk region: with increase in income food expenditures of households also increase, however the growth rate of such expenditures decreases; owing to income elasticity of expenditures, small in comparison with unit, food for the population of the Arkhangelsk region are essential goods; at last, food consumption by this population is in a consent with the economic Engel’s law determining dependence of a share of food expenditures in volume of incomes of households on their level.

Paper is devoted to development and usage of methodical tools of formation of strategic alternatives of competitive strategy of the mining and chemical company. Approaches to development of competitive advantages of the domestic mining and chemical companies in the conditions of a maturity industry are defined. The tools of formation of strategic alternatives which cornerstone different types of the competitive advantages actual for the industry are developed.