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世界银行:2023从中产阶级到贫困阶层-疫情对发展中国家的不平等影响研究报告(中译版)(36页).pdf

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1、Policy Research Working Paper10304From Middle Class to PovertyThe Unequal Impacts of the COVID-19 Pandemic on Developing CountriesMariana ViollazDaniel DuqueCarolina Diaz-BonillaDavid NewhouseMichael WeberSocial Protection and Jobs Global Practice&Poverty and Equity Global PracticeFebruary 2023 Publ

2、ic Disclosure AuthorizedPublic Disclosure AuthorizedPublic Disclosure AuthorizedPublic Disclosure AuthorizedFrom Middle Class to Poverty:The Unequal Impacts of the COVID-19 Pandemic on Developing Countries Mariana ViollazaDaniel DuquebCarolina Diaz-Bonillac David Newhousec Michael Weberc JEL codes:C

3、36,D31,O20 Keywords:Microsimulation,economics shocks,distributional impact a CEDLAS-FCE-UNLP b Norwegian School of Economics c World Bank Group 2 1.Introduction The COVID-19 pandemic and the associated containment measures led to dramatic declines in economic activity levels and disrupted labor mark

4、ets worldwide,with potentially large distributional impacts.Empirical evidence from developed and developing countries is showing that traditionally disadvantaged workers-women,young,and low-educated workerswere hit hardest by the pandemic and,as a consequence,the patterns of existing inequalities a

5、re being exacerbated(Adams-Prassl et al.,2020;Fairlie et al.,2020;Lee et al.,2021;Kugler et al.,2021).Workers in developing countries are often self-employed or working in informal arrangements with a relatively low earnings level.The containment measures particularly affect these groups of workers,

6、leading to decreasing incomes and higher chances of falling into poverty.To design effective policies to protect the most vulnerable segments of the population,the distributional impacts of the pandemic need to be known.In the longer term,the calculations of prompt estimates on how individuals and h

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本文主要研究了COVID-19大流行对发展中国家不平等影响。文章首先指出,大流行和相关的遏制措施导致全球经济活动水平和劳动力市场受到巨大冲击,可能对收入分配产生重大影响。接着,文章采用宏观-微观模拟方法,结合2020年各国的部门就业水平、部门GDP、私人消费和汇款数据,模拟了COVID-19冲击通过失业、劳动收入下降和汇款变化对家庭人均收入(或消费)以及贫困、弱势和中等收入群体比例的影响。最后,文章比较了使用实际就业数据和就业弹性预测的分布影响。 主要发现包括: 1. 在大多数国家,基于弹性的就业预测相对准确,但在受疫情冲击较大的国家,预测存在偏差。 2. 模拟结果显示,整个收入分布的家庭人均收入或消费都有所下降,但各国之间存在差异。 3. 在巴西,实际数据表明模拟方法低估了冲击的规模,特别是在富裕人群中的收入下降。 总体而言,研究结果表明,宏观-微观模拟方法在捕捉劳动力市场结构和宏观经济冲击对分布影响方面具有优势,但在假设方面需要进一步调整。
疫情如何加剧了发展中国家的不平等? 就业弹性在危机期间是否准确? 宏观微观模拟方法在预测疫情影响方面有何局限性?
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