On the multi-preference approach to evaluating opportunities
On the multi-preference approach to evaluating opportunities
复制标题
论评估机会的多重偏好方法
DOI：
10.1007/s003550050130
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发表时间：
1999
影响因子：
0.9
通讯作者：
C. Puppe
中科院分区：
文献类型：
--
作者：
K. Nehring;C. Puppe
本文的目的是提供一个分析“机会偏好”的一般框架。基于两个简单的公理，Kreps的一个基本结果被用来根据多个偏好来表示机会集的排名。本文给出了基本表示定理的几个改进。特别是，提出了一个“妥协下的封闭”的条件，以区分对该模型的灵活性解释和在证明机会的内在价值方面起着关键作用的规范解释。此外，本文还阐明了多重偏好方法和“选择函数”方法在评估机会方面的联系。特别地，我们展示了著名的Aizerman/Malishevski关于选择函数可合理化的结果是如何从机会集排序的更一般的多重偏好表示中得到的推论。
The purpose of the paper is to provide a general framework for analyzing “preference for opportunities.” Based on two simple axioms a fundamental result due to Kreps is used in order to represent rankings of opportunity sets in terms of multiple preferences. The paper provides several refinements of the basic representation theorem. In particular, a condition of “closedness under compromise” is suggested in order to distinguish the flexibility interpretation of the model fromnormativeinterpretations which play a crucial role in justifying theintrinsicvalue of opportunities. Moreover, the paper clarifies the link between the multiple preference approach and the “choice function” approach to evaluating opportunities. In particular, it is shown how the well-known Aizerman/Malishevski result on rationalizability of choice functions can be obtained as a corollary from the more general multiple preference representation of a ranking of opportunity sets.