The impact of anti-COVID-19 restrictions and transitory unemployment insurance policies on unemployment in Russia

Author:

Kotyrlo ElenaORCID

Abstract

PurposeDuring the COVID-19 pandemic, transitory unemployment insurance (UI) policies substantially increased unemployment benefits (UBs) and the number of eligible groups in Russia. The procedure for registering as unemployed was moved to an online platform. The present paper aims to distinguish the effect of anti-COVID-19 restrictions on unemployment from that of the transitory unemployment insurance policies.Design/methodology/approachUsing 553,627 approved claims for unemployment benefits from the Russian Public Employment Service (PES) administrative records (June 2019–December 2020), monthly data on the number of individuals registered as unemployed are aggregated in a pseudo panel. A double-difference approach is employed to identify the effects of the social interaction intensity and teleworkability (TW) of the latest occupation on unemployment. The first is associated with a direct effect of anti-COVID-19 restrictions and the latter with the simplified application procedure.FindingsThe face-to-face (F2F) intensity of the latest occupation did not lead to any increase in the number of unemployed persons as could be expected in response to anti-COVID-19 restrictions. Job TW had two opposite effects on unemployment: it decreased individuals' risk of job loss and increased their likelihood of claiming unemployment benefits. Surprisingly, however, in line with the typical response of the Russian labour market to downturns, the latter dominated. The largest response was found among men and individuals with primary education.Originality/valueThis study is the first to attempt to distinguish the effect of anti-COVID-19 restrictions from that of the transitory UI policies on unemployment in Russia.

Publisher

Emerald

Subject

General Economics, Econometrics and Finance

Reference27 articles.

1. Work that can Be done from home: evidence on variation within and across occupations and industries;Labour Economics,2022

2. When face-to-face interactions become an occupational hazard: jobs in the time of COVID-19;Economics Letters,2020

3. COVID-19: how much unemployment was caused by the shutdown in Germany?;Applied Economics Letters,2021

4. How much should we trust differences-in-differences estimates?;The Quarterly Journal of Economics,2004

5. Reacting quickly and protecting jobs: the short-term impacts of the COVID-19 lockdown on the Greek labor market,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3