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Approaches to Measuring and Forecasting Remote Employment

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  • K. V. Yankov

    (Institute of Economic Forecasting, Russian Academy of Sciences)

Abstract

— 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.

Suggested Citation

  • K. V. Yankov, 2021. "Approaches to Measuring and Forecasting Remote Employment," Studies on Russian Economic Development, Springer, vol. 32(4), pages 399-406, July.
    • Handle: RePEc:spr:sorede:v:32:y:2021:i:4:d:10.1134_s107570072104016x
    DOI: 10.1134/S107570072104016X
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    References listed on IDEAS

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    1. Kässi, Otto & Lehdonvirta, Vili, 2018. "Online labour index: Measuring the online gig economy for policy and research," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 241-248.
    2. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    3. D. B. Kuvalin & A. K. Moiseev & P. A. Lavrinenko, 2017. "Russian enterprises in spring 2017: Slow restoration of investment activity against a background of economic stabilization," Studies on Russian Economic Development, Springer, vol. 28(6), pages 672-683, November.
    4. K. V. Yankov, 2018. "Territorial Workspace Dispersion as a Factor of the Spatial Development of the Economy," Studies on Russian Economic Development, Springer, vol. 29(1), pages 50-55, January.
    Full references (including those not matched with items on IDEAS)

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