EPISTEMOLOGICAL BASIS OF DATA MINING IN MACROECONOMICS
In this article issues of macroeconomic cognition methodology are being considered accenting the problem of unification fundamental possibilities based on common principles of philosophy of science. When interpreting Karl Popper’s postulates on demarcation and science progress author comes to a conc...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
Government of the Russian Federation, Financial University
2017-10-01
|
| Series: | Финансы: теория и практика |
| Subjects: | |
| Online Access: | https://financetp.fa.ru/jour/article/view/181 |
| _version_ | 1797878790481772544 |
|---|---|
| author | E. V. Kondratova |
| author_facet | E. V. Kondratova |
| author_sort | E. V. Kondratova |
| collection | DOAJ |
| description | In this article issues of macroeconomic cognition methodology are being considered accenting the problem of unification fundamental possibilities based on common principles of philosophy of science. When interpreting Karl Popper’s postulates on demarcation and science progress author comes to a conclusion that there is no fundamental difference between gnoseological basis of all the sciences in possession of theoretical level. Furtherelaboration of mentioned postulates within macroeconomic context points out the effectiveness of using data mining for connecting theoretical and empirical cognition levels while either generating theoretical hypotheses or estimating their correspondence to the reality. Non-hypothetical character of data mining tools, especially neural networks of supervised learning, gives all the opportunities to show up to falsificationism which according Popper is the basis of science cognition progress. Nevertheless, the true implementation of all the data mining potential towards macroeconomics needs providing data of the highest quality. Identification of statistical indicators that match theoretical variables is based on their fundamental comparison considering also all the suppositions of country statistics which are stipulated by its specificity. It was done after thorough studying of National Economic Accounting; its authors pointed out all the problems connected with that suppositions so researchers could take into account all the distortions of statistic materials.This article reflects gnoseological possibility and effectiveness of applying data mining tools to macroeconomic problems, first of all estimation of correspondence between theoretical constructions and reality necessary for improving prognostic capabilities of macroeconomics. |
| first_indexed | 2024-04-10T02:38:48Z |
| format | Article |
| id | doaj.art-38d4f036272c4d4eac6bafcec82516e7 |
| institution | Directory Open Access Journal |
| issn | 2587-5671 2587-7089 |
| language | Russian |
| last_indexed | 2024-04-10T02:38:48Z |
| publishDate | 2017-10-01 |
| publisher | Government of the Russian Federation, Financial University |
| record_format | Article |
| series | Финансы: теория и практика |
| spelling | doaj.art-38d4f036272c4d4eac6bafcec82516e72023-03-13T07:49:25ZrusGovernment of the Russian Federation, Financial UniversityФинансы: теория и практика2587-56712587-70892017-10-010414915910.26794/2587-5671-2015-0-4-149-159218EPISTEMOLOGICAL BASIS OF DATA MINING IN MACROECONOMICSE. V. Kondratova0Финансовый университетIn this article issues of macroeconomic cognition methodology are being considered accenting the problem of unification fundamental possibilities based on common principles of philosophy of science. When interpreting Karl Popper’s postulates on demarcation and science progress author comes to a conclusion that there is no fundamental difference between gnoseological basis of all the sciences in possession of theoretical level. Furtherelaboration of mentioned postulates within macroeconomic context points out the effectiveness of using data mining for connecting theoretical and empirical cognition levels while either generating theoretical hypotheses or estimating their correspondence to the reality. Non-hypothetical character of data mining tools, especially neural networks of supervised learning, gives all the opportunities to show up to falsificationism which according Popper is the basis of science cognition progress. Nevertheless, the true implementation of all the data mining potential towards macroeconomics needs providing data of the highest quality. Identification of statistical indicators that match theoretical variables is based on their fundamental comparison considering also all the suppositions of country statistics which are stipulated by its specificity. It was done after thorough studying of National Economic Accounting; its authors pointed out all the problems connected with that suppositions so researchers could take into account all the distortions of statistic materials.This article reflects gnoseological possibility and effectiveness of applying data mining tools to macroeconomic problems, first of all estimation of correspondence between theoretical constructions and reality necessary for improving prognostic capabilities of macroeconomics.https://financetp.fa.ru/jour/article/view/181методология макроэкономического познанияфальсификационализммакроэкономическая статистикасистема национальных счетов |
| spellingShingle | E. V. Kondratova EPISTEMOLOGICAL BASIS OF DATA MINING IN MACROECONOMICS Финансы: теория и практика методология макроэкономического познания фальсификационализм макроэкономическая статистика система национальных счетов |
| title | EPISTEMOLOGICAL BASIS OF DATA MINING IN MACROECONOMICS |
| title_full | EPISTEMOLOGICAL BASIS OF DATA MINING IN MACROECONOMICS |
| title_fullStr | EPISTEMOLOGICAL BASIS OF DATA MINING IN MACROECONOMICS |
| title_full_unstemmed | EPISTEMOLOGICAL BASIS OF DATA MINING IN MACROECONOMICS |
| title_short | EPISTEMOLOGICAL BASIS OF DATA MINING IN MACROECONOMICS |
| title_sort | epistemological basis of data mining in macroeconomics |
| topic | методология макроэкономического познания фальсификационализм макроэкономическая статистика система национальных счетов |
| url | https://financetp.fa.ru/jour/article/view/181 |
| work_keys_str_mv | AT evkondratova epistemologicalbasisofdatamininginmacroeconomics |