Central Economics and Mathematics Institute

About: Central Economics and Mathematics Institute is a facility organization based out in Moscow, Russia. It is known for research contribution in the topics: Population & Foreign-exchange reserves. The organization has 297 authors who have published 580 publications receiving 6449 citations. The organization is also known as: Federal State Institution of Science Central Economics and Mathematics Institute of the Russian Academy of Sciences.

Urgent Problems of Valuation of Recoverable Oil and Gas Reserves

Abstract: Economic, technical, technological, and organizational problems of subsurface management, primarily oil and gas, are considered. The authors justify the necessity of cardinal restructuring of the valuation system for mineral resources and the assessment of the efficiency of their development projects. Social (economic) efficiency criterion should top the agenda here as in several developed countries. This will help not only consider the requirements of the country’s long-term sustainable development but also improve considerably the oil, gas, and condensate recovery factors and reduce the negative environmental consequences. Simultaneously, it is necessary to balance out the interests of the subsurface user, the state, and society, which requires certain changes in the organizational and economic mechanism of implementing subsurface management projects. If oil and gas projects are implemented in conditions of uncertainty and risk, the organizational and economic mechanism of their implementation should envisage the adaptation of projects to the changing conditions and the methods of valuation of reserves should be updated.

Processing Initial Data for the Agent-Based Model of the Russian Federation Spatial Development

Abstract: In our research, the preparation of initial data for the simulation model of the spatial development of the Russian Federation is being conducted. Within the model database, information about population, economy, and social institutions from the official open sources: Web sites of the ministries, federal, and regional statistical yearbooks, is integrated. While information about population and education is quite detailed, referring to the production system it is disaggregated and needs processing to be converted into required structure. In this paper, structure of initial data for simulating production in the model and methods of matching it with available open data are presented. Iterative proportional fitting technique is implemented for aggregating information about employment and equipment of organizations in different regions. Within the procedure of generation, the model database is filled with objects created on the basis of initial data.

On a statistical approach to choice under uncertainty

Abstract: This article is concerned with criteria of choice under uncertainty which are based on long sequences of independent experiments. To state a rule of comparison for such sequences, we first specify it for sequences of certain numbers (say, of certain incomes). Eventually, the problem is reduced to a connection between preferences on sequences ofcertain numbers and thoseon probability distributions. We take into consideration a notion of statistically stable criteria for which choice based on a single random experiment does not disagree with that based on a “sufficiently long” sequence of independent replicas of the same experiment. The main aim of the article is to establish conditions under which a statistically stable criterion exists and to give its explicit representation.

Citation Content Analysis and a Digital Library.

Abstract: This paper presents an approach of two-way data exchange between the citation content analysis, provided by the Cirtec project, and the big research digital library Socionet. Many papers in Socionet have citation relationships with other papers and also linkages with authors’ personal profiles and through them with other information objects. It allows making an enrichment of data for the citation content analysis by different additional information and, as well, linking results of such analysis with objects in a digital library, like papers, their authors, affiliation organizations, etc. We discuss what numeric and qualitative indicators can be built by citation content analysis based on the Cirtec open citation data. Since these indicators have IDs related with digital library objects, they can be integrated and visualized as computer-generated annotations to papers’ full texts in PDF.

Competition between Russian Socioeconomic Universities

Abstract: This article is dedicated to the struggle between major socioeconomic universities (SEUs) of Russia for leading positions in the higher education market. It is shown that only in Russia are SEUs, along with classical universities and technological institutes, the strongest players in the market of higher education establishments. The ranking data of the country’s higher schools of economics for 2013‒2016 are given, which demonstrate the escalating competition between the most successful SEUs of Russia, manifested in regular “castling” between the higher education institutions in the top list ranking. The authors emphasize the importance of factors of competitive growth, such as the publication of leading economics journals, the creation of a network of scientific divisions in the structure of universities, the formation of an all-Russia information agenda on their territories, and the development of regional analytics centers.