Automation anxiety, fairness perceptions, and redistribution: Past experiences condition the response to future job loss
通过大规模调查实验，研究公平信念与过去劳动力市场冲击经历如何交互影响再分配偏好，发现冲击暴露增强了再分配意愿，可能源于对未来脆弱性的担忧。
Do beliefs about fairness interact with past experiences of labor market shocks to condition redistributive preferences? In a large-scale survey experiment, we investigate the effect of informing individuals that growth in automation could disrupt labor markets in ways that are (possibly) viewed as unfair. We then exploit the COVID-19-induced labor market shock to test for an interaction between treatments and shock exposure. We find that beliefs interact with shock exposure to increase redistributive preferences and commitments to donate potential prize winnings. Our findings suggest this may be motivated by respondents' concerns about their vulnerability to future labor market shocks.