门槛实用新型及其在零售和离散选择模型中的应用

G. Gallego, Ruxian Wang
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引用次数: 15

摘要

我们提出并研究了一个阈值实用模型(TUM),其中消费者购买任何净效用超过非负的产品特定阈值的产品。阈值的选择是为了使受选定产品的期望数量限制的代表性消费者的期望剩余最大化。我们证明了在最优状态下阈值是乘积不变的,并且广义极值(GEV)模型是TUM的一个特例。当边界为整数时,TUM比观察所有产品的效用并选择最佳产品产生更高的消费者剩余。该模型还可以应用于代理工具,如在线购物和投资组合管理。比较静力学应用于阈值、购买概率和预期盈余。扩展到多单元TUM、加权TUM、乘法TUM、不连续效用和界诱导copula。我们还提供了在TUM下的定价和分类优化问题的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Threshold Utility Model with Applications to Retailing and Discrete Choice Models
We propose and study a threshold utility model (TUM) where consumers buy any product whose net utility exceeds a non-negative, product-specific threshold. The thresholds are selected to maximize the expected surplus of the representative consumer subject to a bound on the expected number of selected products. We show that at optimality the thresholds are product-invariant and that the generalized extreme value (GEV) model is a special case of the TUM. The TUM is shown to yield higher consumer surplus than observing all the products' utilities and selecting the best when the bound is an integer. The model can also be applied with proxy utilities as in on-line shopping, and portfolio management. Comparative statics are applied to the threshold, the purchase probabilities and the expected surplus. Extensions to multi-unit TUM, weighted TUM, multiplicative TUM, discontinuous utility and bound-induced copulas are also considered. We also provide solutions to pricing and assortment optimization problems under the TUM.
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