Assessment of the State of Economic Security in Russia Using the Example of the Unemployment Rate Indicator: Fractal Analysis Method

The article proposes methodological approaches to the verification of indicators of the state of the country’s economic security using the method of fractal analysis. Fractal analysis technologies make it possible to determine the nature and dynamics of changes in the indicator, to verify its values...

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Detalles Bibliográficos
Autores principales: Belyaev, I. I., Larionov, A. V., Sil’vestrov, S. N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pleiades Publishing 2021
Materias:
Macroeconomic Indicators
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101775/
https://www.ncbi.nlm.nih.gov/pubmed/33976524
http://dx.doi.org/10.1134/S1075700721020027
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author Belyaev, I. I.
Larionov, A. V.
Sil’vestrov, S. N.
author_facet Belyaev, I. I.
Larionov, A. V.
Sil’vestrov, S. N.
author_sort Belyaev, I. I.
collection PubMed
description The article proposes methodological approaches to the verification of indicators of the state of the country’s economic security using the method of fractal analysis. Fractal analysis technologies make it possible to determine the nature and dynamics of changes in the indicator, to verify its values (indicative or critical), and also to reveal the rate at which these states are reached on the time horizon of statistical observations. The unemployment rate indicator is selected as an example.
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spelling pubmed-81017752021-05-07 Assessment of the State of Economic Security in Russia Using the Example of the Unemployment Rate Indicator: Fractal Analysis Method Belyaev, I. I. Larionov, A. V. Sil’vestrov, S. N. Stud Russ Econ Dev Macroeconomic Indicators The article proposes methodological approaches to the verification of indicators of the state of the country’s economic security using the method of fractal analysis. Fractal analysis technologies make it possible to determine the nature and dynamics of changes in the indicator, to verify its values (indicative or critical), and also to reveal the rate at which these states are reached on the time horizon of statistical observations. The unemployment rate indicator is selected as an example. Pleiades Publishing 2021-05-06 2021 /pmc/articles/PMC8101775/ /pubmed/33976524 http://dx.doi.org/10.1134/S1075700721020027 Text en © Pleiades Publishing, Ltd. 2021, ISSN 1075-7007, Studies on Russian Economic Development, 2021, Vol. 32, No. 2, pp. 141–146. © Pleiades Publishing, Ltd., 2021.Russian Text © The Author(s), 2021. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Macroeconomic Indicators
Belyaev, I. I.
Larionov, A. V.
Sil’vestrov, S. N.
Assessment of the State of Economic Security in Russia Using the Example of the Unemployment Rate Indicator: Fractal Analysis Method
title Assessment of the State of Economic Security in Russia Using the Example of the Unemployment Rate Indicator: Fractal Analysis Method
title_full Assessment of the State of Economic Security in Russia Using the Example of the Unemployment Rate Indicator: Fractal Analysis Method
title_fullStr Assessment of the State of Economic Security in Russia Using the Example of the Unemployment Rate Indicator: Fractal Analysis Method
title_full_unstemmed Assessment of the State of Economic Security in Russia Using the Example of the Unemployment Rate Indicator: Fractal Analysis Method
title_short Assessment of the State of Economic Security in Russia Using the Example of the Unemployment Rate Indicator: Fractal Analysis Method
title_sort assessment of the state of economic security in russia using the example of the unemployment rate indicator: fractal analysis method
topic Macroeconomic Indicators
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101775/
https://www.ncbi.nlm.nih.gov/pubmed/33976524
http://dx.doi.org/10.1134/S1075700721020027
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