Characterizing the demand curve of products is important for pricing them optimally. However, in deriving empirical demand curves, econometricians have to contend with identification issues. Furthermore, theoretical demand curves derived using standard economic theory are divorced from empirical realities: firms rarely have information on customers’ budget constraints; theoretical utility functions are seldom derived empirically. Recognizing these issues, we propose an experimental approach for determining a product’s demand curve and, in turn, its profit-maximizing price in online environments. The proposed approach yields precise estimates and is quick and inexpensive to implement.

中文翻译：

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电子商务的实验性定价框架

表征产品的需求曲线对于优化定价很重要。然而，在推导经验需求曲线时，计量经济学家必须解决识别问题。此外，使用标准经济理论推导出的理论需求曲线与经验现实脱节：公司很少有关于客户预算约束的信息；理论效用函数很少凭经验推导出来。认识到这些问题，我们提出了一种实验方法来确定产品的需求曲线，进而确定在线环境中的利润最大化价格。所提出的方法产生精确的估计并且实施起来快速且成本低廉。