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Approaches to Measuring and Forecasting Remote Employment

The article proposes approaches to the definition of terms in the field of remote employment, discusses the feasibility of collecting data on this phenomenon, and its forecasting. The system of indicators characterizing remote employment is substantiated, taking into account the available quantitati...

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Detalles Bibliográficos
Autor principal: Yankov, K. V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pleiades Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328130/
https://www.ncbi.nlm.nih.gov/pubmed/34366650
http://dx.doi.org/10.1134/S107570072104016X
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author Yankov, K. V.
author_facet Yankov, K. V.
author_sort Yankov, K. V.
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description The article proposes approaches to the definition of terms in the field of remote employment, discusses the feasibility of collecting data on this phenomenon, and its forecasting. The system of indicators characterizing remote employment is substantiated, taking into account the available quantitative information. Based on the latest domestic and foreign publications, a methodological approach to determining the potential of remote employment, which is a key element of the forecast, is proposed.
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spelling pubmed-83281302021-08-03 Approaches to Measuring and Forecasting Remote Employment Yankov, K. V. Stud Russ Econ Dev Economic Policy The article proposes approaches to the definition of terms in the field of remote employment, discusses the feasibility of collecting data on this phenomenon, and its forecasting. The system of indicators characterizing remote employment is substantiated, taking into account the available quantitative information. Based on the latest domestic and foreign publications, a methodological approach to determining the potential of remote employment, which is a key element of the forecast, is proposed. Pleiades Publishing 2021-08-02 2021 /pmc/articles/PMC8328130/ /pubmed/34366650 http://dx.doi.org/10.1134/S107570072104016X Text en © Pleiades Publishing, Ltd. 2021, ISSN 1075-7007, Studies on Russian Economic Development, 2021, Vol. 32, No. 4, pp. 399–406. © 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 Economic Policy
Yankov, K. V.
Approaches to Measuring and Forecasting Remote Employment
title Approaches to Measuring and Forecasting Remote Employment
title_full Approaches to Measuring and Forecasting Remote Employment
title_fullStr Approaches to Measuring and Forecasting Remote Employment
title_full_unstemmed Approaches to Measuring and Forecasting Remote Employment
title_short Approaches to Measuring and Forecasting Remote Employment
title_sort approaches to measuring and forecasting remote employment
topic Economic Policy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328130/
https://www.ncbi.nlm.nih.gov/pubmed/34366650
http://dx.doi.org/10.1134/S107570072104016X
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