在多属性定价中主观价值的认知机制
Anderson K Fitch1, Peter D Kvam2
1Department of Psychology, University of Florida.
Psychological review
|October 9, 2025
概括
人们在做出选择和设定价格时不同地赋予主观价值,即使对于相同的多属性选项也是如此. 这项研究使用神经网络模型来探索经济决策中的偏好逆转.
科学领域:
- 决策科学 决策科学
- 认知神经科学 认知神经科学
- 行为经济学是一种行为经济学.
背景情况:
- 了解主观价值赋值是经济偏好的关键.
- 多属性偏好通常通过二进制选择来研究.
- 基于价格的估值可能与基于选择的估值不同,显示偏好逆转.
研究的目的:
- 调和从选择和价格诱导中对主观价值的不同测量.
- 调查偏好在选择和价格领域如何变化.
- 探索收益/损失,买卖框架和时间压力对价值赋值的影响.
主要方法:
- 开发了一种基于神经网络的两步建模方法.
- 员工调度板模型的比较,以测试认知机制.
- 利用个性化的联合模型来捕捉独特的参与者参数.
主要成果:
- 延迟折扣和风险回避在选择和价格模型中都是常见的.
- 在定价和选择任务之间,定和回报灵敏度差异很大.
- 在诱导过程中出现了广泛的差异,这表明价值表示取决于上下文.
结论:
- 主观价值表示似乎取决于上下文,在选择和价格诱导之间变化.
- 不同方法之间统一的价值表示可能很难实现.
- 未来的研究应该考虑影响选择与价格估值的不同机制.
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