Using multilevel modeling techniques for Social and Economic Monitoring
Abstract
This paper studies the experience of applying the existing methods of modeling in the field of economic monitoring. The method of Group Method of Data Handling (GMDH) is suggested an alternative method for economic modeling. The research calculates and builds inductive models describing the GDP on the basis of the economic indices which are characteristic of the countries with developed information economy. The resulting models are then clustered by similar features. The obtained results are briefly analyzed.
References
Dubykivskyi S. (2014). General description of the state of economic security of countries under the conditions of the open economy // Journal L’association 1901 “SEPIKE”/ Poitiers France, Osthofen Deutschland, Los Angeles USA. 05, 116-121
Schumpeter, V. (2007). Teoriya ekonomicheskogo razvitiya. Kapitalizm, sotsializm i demokratiya [The Theory of Economic Development], EKSMO
Castells, M., Himanen, P., (2002). Informatsionnoye obshchestvo i gosudarstvo blagosostoyaniya: Finskaya model' [Information Society and the State of Well-being. The Finnish Model], Logos
Averkin, A. (1986). Nechetkiye mnozhestva v modelyakh upravleniya i isskustvennogo intellekta [Vague Multitudes in Management and Artificial Intelligence Models], Nauka
Ayvazian, S. (1974). Ob opyte primeneniya ekspertno-statisticheskogo metoda postroyeniya neizvestnoy tselevoy funktsii. – V kn.: «Mnogomernyy statisticheskiy analiz v sotsial'no-ekonomicheskikh issledovaniyakh» [On the Experience of Applying the Expert and Statistical Method for Building an Unknown Target Function], Nauka
Heyets, V., Kyzym, M., Klebanova, M., Cherniak, T., (2006). Modelyuvannya yekonomíchnoí̈ bezpeki: derzhava, regíon, pídpriêmstvo: monografíya [Modelling Economic Security: State, Region, Enterprise], Kharkiv National Economic University
Suhorukov, A., (2013). Shchodo metodologíí̈ kompleksnogo otsínyuvannya skladnikív yekonomíchnoí̈ bezpeki derzhavi [On the Methods of Complex Assessment of a State’s Economic Security], Strategic Priorities, 3(28), 5-8
The Global Information Technology Report (2013). Growth and Jobs in a Hyperconnected World / Beñat Bilbao-Osorio, Soumitra Dutta, and Bruno Lanvin, Editors – r.409.
Ivahnenko, A., Yurachkovsky, Yu., (1987). Modelirovaniye slozhnykh sistem po eksperimental'nym dannym [Modeling Complex Systems on Experimental Datra], ‘Radio I Sviaz’
Holub., S., (2007). Bagatorívneve modelyuvannya v tekhnologíyakh monítoringu otochuyuchogo seredovishcha [Multilevel Modelling in the Technologies of Monitoring the Environment], Cherkasy National Bohdan Hmelnytsky University
Copyright information
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (Creative Commons Attribution License 3.0 - CC BY 3.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
