论文标题
网络中的社交距离：基于网络的交互式实验
Social distancing in networks: A web-based interactive experiment
论文作者
论文摘要
政府已经利用社会遥远来阻止Covid-19的传播，但缺乏有关确保合规性的最有效政策的证据。我们研究了罚款和信息信息（推销）在促进社会疏远的基于网络的交互式实验中，该实验在大流行期间进行的，在美国人口的几乎代表性样本中。罚款促进距离，但轻推只有边缘影响。当个人意识到自己是超级传播者时，他们会做更多的社交距离。我们认为，使用仪器变量方法，我们认为进步主义者更有可能练习疏远，并且对罚款的反应更为敏感。
Governments have used social distancing to stem the spread of COVID-19, but lack evidence on the most effective policy to ensure compliance. We examine the effectiveness of fines and informational messages (nudges) in promoting social distancing in a web-based interactive experiment conducted during the first wave of the pandemic on a near-representative sample of the US population. Fines promote distancing, but nudges only have a marginal impact. Individuals do more social distancing when they are aware they are a superspreader. Using an instrumental variable approach, we argue progressives are more likely to practice distancing, and they are marginally more responsive to fines.
