Different firm responses to the COVID-19 pandemic shocks: machine-learning evidence on the Vietnamese labor market

  title={Different firm responses to the COVID-19 pandemic shocks: machine-learning evidence on the Vietnamese labor market},
  author={Lam Hoang Viet Le and Toan Luu Duc Huynh and Bryan S. Weber and Bao Khac Quoc Nguyen},
  journal={International Journal of Emerging Markets},
PurposeThis paper aims to identify the disproportionate impacts of the COVID-19 pandemic on labor markets.Design/methodology/approachThe authors conduct a large-scale survey on 16,000 firms from 82 industries in Ho Chi Minh City, Vietnam, and analyze the data set by using different machine-learning methods.FindingsFirst, job loss and reduction in state-owned enterprises have been significantly larger than in other types of organizations. Second, employees of foreign direct investment… 
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