name
Kulikova Svetlana Yuryevna
Scholastic degree
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Academic rank
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Honorary rank
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Organization, job position
• Bauman Moscow State Technical University
кафедра «Экономика и организация производства» (ИБМ-2)
старший преподаватель
Research interests
организационно-экономическое моделирование инфляции; экономика и управление промышленными предприятиями; экономико-математические методы в контроллинге; модели и методы принятия обоснованных управленческих решений
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Articles count: 2
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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ORGANIZATIONAL AND ECONOMIC MODELING IN SOLVING PROBLEMS OF CONTROLLING
Description
At the Department of "Economics and organization of production" at the end of XX - beginning of XXI centuries created the scientific school in the field of organizational and economic modeling, econometrics and statistics. The same name section of the department oversees the teaching of the relevant disciplines. The Laboratory of economic and mathematical methods in controlling of the Research and Education Center "Controlling and innovation in management" of Bauman Moscow State Technical University conducts research in this domain. This article is devoted to the activities of the scientific school, conducting research, and some of the results. We start with a discussion of the definitions of terms, which we use. Organizationaleconomic modeling - scientific, practical and academic discipline which devoted to the development, research and application of mathematical and statistical methods and models in economics and management of the national economy, especially in economics and management of industrial enterprises and their associations. The term "economic-mathematical methods and models" has close content. Statistical methods in economics - the subject of econometrics, the base of which is applied statistics. Organizational-economic modeling and econometrics are discussed as a theoretical and practical trainings and discipline. We developed textbooks and manuals on the organizational and economic modeling, econometrics and statistics. We have conducted theoretical research and development of applications in the field of organizational and economic modeling. In particular, the prediction is regarded as one of the management functions in industry. We study the problem of stability in the models and methods of development of strategy of the enterprise. For prospective organizational and economic mechanisms of management of industrial and economic activities, we proposed design based on solidary information economy
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CONTROLLING OF CONSUMER PRICES DYNAMICS AND LIVING WAGE
Description
In accordance with the Presidential Decree of 21 August 2012 № 1199 one of the 11 integrated indicators of the activity of executive authorities is the measure "real disposable income of the population". For its calculation it is necessary to measure the level of consumer prices. The article presents the minimum consumer basket of physiologically essential food products, designed in 1993 by the Institute of High Statistical Technologies and Econometrics (IHSTE) based on the initial data of the Institute of Nutrition of the Russian Academy of Medical Sciences, and the results of measuring the cost of the consumer basket IHSTE and inflation index in 24 years (1993 - 2017). We discuss the application of the developed tools in Controlling of the level of consumer prices and living wage. According to M. Orshansky, living wage can be estimated by multiplying the cost of the minimum food basket by a factor which is equal to the quotient of all costs to the costs of food costs for a poor family. This work is aimed at the elimination of the monopoly of Rosstat in the calculation of indices of inflation, the living wage and the real disposable income of the population. The methods of the measurement and the use of inflation constitute an important part of training courses in econometrics, which are taught in the context of the scientific-educational complex "Engineering Business and Management" of the Baumann Moscow State Technical University. Nobel Laureate in Economics Vasiliy Leontiev thought that only 1% of economists analyze the newly collected data, 30% use the data contained in the publications of predecessors, and the rest did not turn in their arguments to the real world. This work belongs to the 1% of publications (which analyzes the newly collected data), about which Vasiliy Leontiev wrote
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