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假设的推动提供了对真实行为变化的方向性但杂的估计
Linnea Gandhi1, Anoushka Kiyawat2, Colin Camerer3
1Operations, Information, and Decisions Department, University of Pennsylvania, Philadelphia, PA, USA. lgandhi@wharton.upenn.edu.
Communications psychology
|November 18, 2025
概括
假设场景对于研究行为变化冲动是有用的,但可能无法准确预测现实世界的效应大小. 需要进一步的研究来校准政策应用的假设估计.
科学领域:
- 行为科学 行为科学
- 实验经济学的实验经济学
- 政策分析 政策分析
背景情况:
- 假设场景在行为科学研究中经常被用作研究行为变化的实地实验的替代方案.
- 假设场景在估计现实世界治疗效应时的准确性仍然不太清楚,这限制了它们在政策中的应用.
研究的目的:
- 调查假设场景在多大程度上准确地估计了现实世界治疗效应.
- 将不同类型的假设场景的预测有效性与实际现场数据进行比较.
主要方法:
- 确定了五项最近的实地研究,涉及各种领域的真实世界nudges.
- 设计了四种不同的假设场景风格,以反映每个现场研究.
- 进行了20个实验,共有16114名参与者,将假设数据与现场数据进行比较.
主要成果:
- 假设场景在实验中一致估计了治疗效应的正确方向.
- 对治疗效应的大小的估计在假设情景中差异很大,表明不可靠性.
- 这些发现突出了假设预测与现实结果之间的差异,特别是在效应大小方面.
结论:
- 假设的场景显示了理解行为变化方向的希望.
- 大小估计的巨大差异使得假设的估计对于直接的政策应用,如成本效益分析,是不可靠的.
- 进一步的研究是必不可少的,以制定策略,校准假设的估计,以提高他们的现实世界的适用性.
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