Pandemic containment and inequality in a developing economy
利用印度个体面板数据，研究发现高技能与低技能工人之间的收入不平等在新冠封锁后加剧，流行病模型可解释24%-59%的不平等增长，且低技能工人因更多现场工作而感染率更高，直接转移支付可逆转不平等并提升防控效果。
Abstract Using individual‐level panel data from India, we show that income inequality between high‐skilled and low‐skilled workers increased following COVID‐19 lockdown. Integrating a susceptible, infected, recovered, dead epidemiological model into a general equilibrium framework with high‐skilled and low‐skilled workers, working either from their offices (onsite) or from their homes (remote), we can explain between 24 and 59 percent of the observed increase in inequality. We also find that disease incidence is higher among low‐skilled workers as they choose to work more onsite compared to their high‐skilled counterparts. Direct transfers for low‐skilled workers reverses this increase in inequality and improves the effectiveness of containment policies.