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Employment in Russia in 2020: a Controversial Recovery
[Занятость В России В 2020 Г.: Противоречивое Восстановление]

Author

Listed:
  • Polbin Andrey

    (Russian Presidential Academy of National Economy and Public Administration; Gaidar Institute for Economic Policy)

  • Fokin Nikita

    (Russian Presidential Academy of National Economy and Public Administration)

Abstract

In 2020, unemployment in Russia displayed moderate growth over Q2. In Q3 and Q4, in spite of the economic recovery, its index was quite high. Employment was sustained by several factors, in particular the expectations of employers that the pandemic crisis would soon be over. In addition, available estimates indicate that the measures adopted by the government succeeded in keeping down the unemployment in Q2 2020; however, in Q3 and Q4 2020, their effect began to wane. The article was prepared as part of the state research order of the RANEPA.

Suggested Citation

  • Polbin Andrey & Fokin Nikita, 2021. "Employment in Russia in 2020: a Controversial Recovery [Занятость В России В 2020 Г.: Противоречивое Восстановление]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 4, pages 74-76, April.
    • Handle: RePEc:gai:recdev:r2146
    as

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    References listed on IDEAS

    as
    1. Laurence Ball & Daniel Leigh & Prakash Loungani, 2017. "Okun's Law: Fit at 50?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(7), pages 1413-1441, October.
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    More about this item

    Keywords

    employment; unemployment; GDP; Okun’s law;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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