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  • 标题:Estimated Benefits of Incremental Suppression of Covid-19 Spread
  • 本地全文:下载
  • 作者:Chi Keung Woo ; Kang Hua Cao ; Yun Lyndon Liu
  • 期刊名称:Open Access Library Journal
  • 印刷版ISSN:2333-9705
  • 电子版ISSN:2333-9721
  • 出版年度:2020
  • 卷号:7
  • 期号:8
  • 页码:1-13
  • DOI:10.4236/oalib.1106645
  • 语种:English
  • 出版社:Scientific Research Pub
  • 摘要:Estimated benefits are necessary for a cost benefit analysis of Covid-19 suppression. We propose a stock-market-based approach to estimate the benefits of incremental suppression of Covid-19’s spread that will last till no new cases are recorded for 14 days, the projected incubation period of Covid-19. This approach’s empirical implementation uses a) total capitalization of 14 market indices for large cap stocks; and b) an index’s estimated elasticity of cumulative confirmed cases (CCC) obtained from a panel data analysis of 727 daily observations in the period of 01/21/2020-04/03/2020. Our estimated benefits of a hypothetical 10% reduction in CCC due to incremental suppression are statistically significant (p-value < 0.05), ranging from US$0.76 billion for Singapore to US$70 billion for the US. As the S & P 500 index’s capitalization is 70% - 80% of the US total market capitalization, the adjusted US benefit estimate is up to US$100 billion. Finally, we verify that these estimated benefits are empirically reasonable.
  • 关键词:Covid-19Suppression BenefitStock Markets
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