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Institution

Central Economics and Mathematics Institute

FacilityMoscow, Russia
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.


Papers
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Journal ArticleDOI
01 May 2020
TL;DR: This paper discusses the feasibility and benefits of incorporating coefficients of inter-coder agreement (Krippendorff's α, Bennett, Alpert and Goldstein’s S, Scott's π and Cohen's κ) into recommender systems and argues that with their help it is possible to increase the accuracy of users' assessment of various items.
Abstract: This paper discusses the feasibility and benefits of incorporating coefficients of inter-coder agreement (Krippendorff’s α, Bennett, Alpert and Goldstein’s S, Scott’s π and Cohen’s κ) into recommender systems. It is argued that with their help it is possible to increase the accuracy of users’ assessment of various items (texts, but also potentially images, movies, music and goods). Chance-corrected measures of similarity also allow for the detection of similarly minded users in a more accurate manner. Results of small-scale empirical tests inform the discussion. Predictions made using chance-corrected measures of similarity are compared with those based on more conventional measures of similarity, the cosine coefficient and the Jaccard index.

1 citations

Journal ArticleDOI
27 Jun 2017
TL;DR: In this article, the index approach to an estimation of situational multifactor economic categories is considered: a level of development of a social and economic infrastructure of region and population living conditions.
Abstract: Abstract In this article, the index approach to an estimation of situational multifactor economic categories is considered: a level of development of a social and economic infrastructure of region and population living conditions. Author’s mathematical models of formation of the integrated estimated indexes formulated on principles of the factorial analysis of hierarchies are used. The constructed estimated integrated indexes form a basis of ranging of territories, both in an annual cut and in dynamics on years that, in turn, allows to analyse the change in ratings of territories (during 5-10 years): on a level of development of an infrastructure and quality of life of the population. Authors give results of computer modelling of an index of development of a social and economic infrastructure. Here authors use additional parameters for the measurement of an index of capital investments in an infrastructure. Further, authors model an index of quality of life of the population. Here the methods used are the analysis of hierarchies, the factorial analysis and a method of the main things a component. Then the interrelation analysis between tendencies of change of indexes through comparison of ranks of territories is made. Theoretical offers of authors are accompanied by quantitative results of modelling experiments on materials of 30 Chinese provinces for the period of 10 years period.

1 citations

Journal Article
TL;DR: The idea of creating an on-line databank for qualitative data and a platform for content analyzing it is discussed and Supervised machine learning looks particularly promising since it implies keeping focus on interpretation of data proper to interpretative sociology.
Abstract: When working with big data in science (research databanks, literature reviews) and everyday life (news aggregators), there is a need for mining, classifying and storing information. Information is defined as data in a processed form. The methodology of content analysis in its various forms, qualitative (manual coding), quantitative (words frequencies and co-occurrences) and mixed methods (creation of ad hoc dictionaries based on substitution), offers a tool to address this issue. Interest in content analysis emerged as early as in the 1970s, yet it remains relatively unknown outside of sociology, linguistics and communication studies. Content analysis allows converting qualitative data (texts, images) into digital format (vectors and matrices) and subsequent manipulating digital information using linear algebra, multidimensional scaling and other tools from natural sciences. The conversion into digital formal also paves the way to machine learning. Supervised machine learning looks particularly promising since it implies keeping focus on interpretation of data proper to interpretative sociology. Supervised machine learning is compatible with mixed methods content analysis. The existing program for computer-assisted content analysis (QDA Miner, Atlas TI, NVivo etc.) have several limitations. Restrictions on the number of their users (coders) refer to one of the limitations. The creation of on-line platforms for content analysis allows bypassing this and some other limitations. The idea of creating an on-line databank for qualitative data and a platform for content analyzing it is discussed. In contrast to quantitative data, qualitative research data is rarely available for secondary analysis.

1 citations

Journal ArticleDOI
TL;DR: In this article, the TU approach is abandoned in favour of the NTU approach to treat the case of regional reciprocal externalities, where implicit side payments favourably affect the other participants' (expected) choices of strategies with respect to these hidden goals.
Abstract: During emission reductions countries render 'services' to each other by reducing transboundary pollution, which should be recognized as an additional source of benefit. Since transboundary pollution fluxes are often significant, the underestimation of this factor can substantially affect the choice of emission reduction strategies and, eventually, restrain pollution reduction. This factor is a specific feature of the transboundary pollution problem that, in the taxonomy of M~iler (1990), relates to the case of regional reciprocal externalities. Cooperation in the case of regional reciprocal externalities has been often studied, explicitly or implicitly, in terms of cooperative games with transferable utilities (TU). One reason for this is that within this approach side payments are allowed, which theoretically give higher gains to participants as compared to the approach with non-transferable utilities (NTU). Another reason is that the theory of NTU games is not yet sufficiently developed as compared with the theory of TU games. But the standard TU approach to regional environmental regulation shows significant drawbacks. Discussing the analyses of the Canadian-American agreement on the Columbia River by Krutilla (1966, 1968) and of the Mexican-American agreement on the Colorado River by Kneese (1988), M~iler (1990) points out that the countries do not use side payments in the explicit form. Moreover, the amounts of implicit 'side payments' seem to be in contradiction with the criteria of economic benefits, producing an impression of irrationality of the countries' choices (MNer, 1990). In this paper the TU approach is abandoned in favour of the NTU approach to treat the case of regional reciprocal externalities. From the viewpoint of the NTU game, an 'irrational' behaviour of a participant occurs when his preferences involve hidden goals, while his implicit side payments favourably affect the other participants' (expected) choices of strategies with respect to these hidden goals. The NTU approach becomes immune to 'irrational' behaviour if it allows consideration of the participants' utilities reflecting their respective hidden goals through the above mechanism of transposed preferences. Non-transferability of utilities generally means incommensurability of

1 citations

Book ChapterDOI
01 Jan 2013
TL;DR: In this paper, an investment timing problem which takes into account both taxation (including tax exemptions) and financing by credit is considered, and the problem is reduced to the optimal stopping of a two-dimensional diffusion process.
Abstract: An investment timing problem which takes into account both taxation (including tax exemptions) and financing by credit is considered. This problem is reduced to the optimal stopping of a two-dimensional diffusion process. We give the solution to the investment timing problem as a function of parameters of the model, in particular, of the tax holiday duration and interest rate for borrowing. We study the question whether the higher interest rate for borrowing can be compensated by tax holidays.

1 citations


Authors

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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202310
202215
202139
202051
201942
201831