2019年诺贝尔经济学奖的授予为随机干预实验带来了许多关注,本文尝试探讨随机干预实验在全球范围内的政策影响。随机干预实验不仅是学术界的一大理论创新,更逐渐发展成为实证有效的政策工具。应用随机干预实验方法产生政策影响有四个作用机制,分别为:(1)规模化有效的干预和项目;(2)通过不成功案例优化项目,改善资源分配;(3)创造知识类的公共产品;(4)制度化循证决策。对作用机制的梳理,可为以中国为代表的发展中国家开展教育减贫领域的随机干预政策模拟实验提供行之有效的实证经验。
With increasing attention drawn to Randomized Controlled Trials (RCTs) after the announcement of the Nobel Prize winners in Economics Science 2019, this paper attempts to discuss the policy impact of RCTs and highlight its importance not only as an academic methodology but also as a useful policy tool. In this paper, four channels have been identified through which RCTs could help policy maker and development agencies in making their decisions. For each channel, detailed case studies are provided to further illustrate the impact of RCTs. The four channels discussed in the paper are 1) scaling up effective interventions, 2) adjusting programs to better allocate resources, 3) generating public goods and knowledge sharing, 4) institutionalizing evidence-based policy making.
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