We study preferences estimated from finite choice experiments and provide sufficient conditions for convergence to a unique underlying “true” preference. Our conditions are weak and, therefore, valid in a wide range of economic environments. We develop applications to expected utility theory, choice over consumption bundles, and menu choice. Our framework unifies the revealed preference tradition with models that allow for errors.

中文翻译：

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从有限数据中恢复偏好

我们研究从有限选择实验中估计的偏好，并为收敛到独特的潜在“真实”偏好提供充分条件。我们的条件很弱，因此适用于广泛的经济环境。我们开发了预期效用理论、消费束选择和菜单选择的应用。我们的框架将显示偏好传统与允许错误的模型统一起来。