The Early Labor Market Impacts of COVID-19 in Developing Countries: Evidence from High-Frequency Phone Surveys

Abstract

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Gender-affirming care, mental health, and economic stability in the time of COVID-19: A multi-national, cross-sectional study of transgender and nonbinary people

“…Lastly, we found that the COVID-19 crisis is straining the core needs of transgender and nonbinary people worldwide, as it is for many other people-across finances, food, and employer-sponsored health insurance [58][59][60]. Such strain often follows inversely to pre-existing advantage or privilege within and across settings.…”

“…Such strain often follows inversely to pre-existing advantage or privilege within and across settings. For example, upwards of 77% of people from low-income countries in Africa and 37% of people in lower-middle-income countries reported work stoppage versus 26% in high-income countries [60,61]. Such COVID-related inequities also exist within high-income countries, with access to healthcare and vaccines favoring upper-class families and other privileged groups [62].…”

Viewpoint: High-frequency phone surveys on COVID-19: Good practices, open questions

“… 5 The examples include Abay et al (2021a) , Amankwah and Gourlay, 2021a , Amankwah and Gourlay, 2021b , Amare et al (2021) , Ambel et al (2021) , Brubaker et al (2021) , Contreras Gonzalez et al (2020) , Dang et al (2021) , Furbush et al (2021) , Josephson et al (2020) , Josephson et al (2021) , Kanyanda et al (2021), Khamis et al (2021) . At the country-level, there were numerous examples of phone survey data use to highlight, besides the domestic newspaper columns and TV news coverage at the time of data dissemination.…”

Welfare and Distributional Impacts of Inflation and the COVID-19 Outbreak in the Islamic Republic of Iran

“…Phone surveys conducted by the World Bank across developing countries have shown that income losses in IDA countries were more prevalent than in non-IDA countries, but households in IDA countries were less likely to suffer job stoppages during COVID-19 than those in non-IDA countries (Yoshida, Narayan, and Wu 2020). Within countries, there is empirical evidence that workers were more likely to stop working in services and industry sectors than in agriculture (Khamis et al 2021). Incomes for self-employed workers in the services and high-intensity contact sectors that are difficult to do from home have been hit the hardest.…”