| Issue |
EPJ Web Conf.
Volume 173, 2018
Mathematical Modeling and Computational Physics 2017 (MMCP 2017)
|
|
|---|---|---|
| Article Number | 03013 | |
| Number of page(s) | 4 | |
| Section | Numerical Modeling and Methods | |
| DOI | https://doi.org/10.1051/epjconf/201817303013 | |
| Published online | 14 February 2018 | |
https://doi.org/10.1051/epjconf/201817303013
Data Mining in Institutional Economics Tasks
1 Institute of Economics of RAS, Moscow, Russia
2 Emanuel Institute of Biochemical Physics, Moscow, Russia
3 FRC “Informatics and Control” of RAS, Moscow, Russia
* e-mail: igokir@rambler.ru
** e-mail: azfor@yandex.ru
*** e-mail: senkoov@mail.ru
Published online: 14 February 2018
The paper discusses problems associated with the use of data mining tools to study discrepancies between countries with different types of institutional matrices by variety of potential explanatory variables: climate, economic or infrastructure indicators. An approach is presented which is based on the search of statistically valid regularities describing the dependence of the institutional type on a single variable or a pair of variables. Examples of regularities are given.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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