大流行
代理(统计)
脆弱性(计算)
人口经济学
人均
面板数据
经济
2019年冠状病毒病(COVID-19)
发展经济学
社会经济学
地理
经济增长
人口学
人口
计量经济学
社会学
医学
病理
计算机科学
传染病(医学专业)
疾病
计算机安全
机器学习
作者
Sanket Mohapatra,Akshita Nigania
标识
DOI:10.1080/00036846.2024.2364081
摘要
This paper employs COVID-19 as a quasi-natural experiment to conduct an analysis of the heterogeneous effects of the pandemic on households' financial vulnerability across districts in India and investigates the role of migration and gender of the household head in moderating financial vulnerability. Using Indian panel household surveys and a difference-in-differences approach with coarsened exact matching, we provide causal evidence of a larger increase in the financial vulnerability index (FVI) of households in Indian districts with a higher incidence of COVID-19 cases per capita. A similar effect is observed when considering satellite-based night-time lights, a proxy for economic activity. Furthermore, during the pandemic, households with an out-migrant family member experienced relatively lower FVI, with a more pronounced effect for female-headed households, likely due to the financial help given by migrants. However, households that had an out-migrant in the pre-pandemic period, but not during the pandemic, were more financially vulnerable. This study provides a novel contribution to the literature through a better understanding of the varied effects of the pandemic-induced health and economic shocks on households' financial vulnerability based on pandemic intensity, migration status, and gender.
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