Documents Nguyen, Cuong Viet 2 results

"Despite a rich literature studying the impact of inequality on policy outcomes, there has been limited effort to bring these insights into the debates about comparative support for government responses to the COVID-19 pandemic. We fill in this gap by analyzing rich survey data from six countries spanning different income levels and geographical locations — China, Italy, Japan, South Korea, the United Kingdom, and the United States. We find that poorer individuals are less supportive of government responses, and that poorest individuals are least supportive. Furthermore, poorer individuals residing in more economically unequal countries offer even less government support. We also find that both economic and non-economic factors could affect the poor's decisions to support stringent government policies. These findings suggest that greater transfers to the poor may ameliorate their resistance, increase support for strict policies, and may reduce the potential deepening of social inequalities caused by the pandemic."

"The COVID-19 outbreak has brought unprecedented disruptions to the global economies and has led to income loss and high unemployment rates. But scant, if any, evidence exists on gender gaps in economic outcomes such as income, expenditure, savings, and job loss in a multi-country setting. We investigate the impacts of COVID-19 on gender inequality in these outcomes using data from a six-country survey that covers countries in different geographical locations and at various income levels. Our findings suggest that women are 24 percent more likely to permanently lose their job than men because of the outbreak. Women also expect their labor income to fall by 50 percent more than men do. Perhaps because of these concerns, women tend to reduce their current consumption and increase savings. Factors such as the different participation rates in work industries for men and women may take an important part in explaining these gender gaps. Our estimates also point to country heterogeneity in these gender differences that is likely due to varying infection rates and shares of women in the labor force."