Deliberately Stochastic

Deliberately Stochastic
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故意随机

DOI:
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发表时间:
2017
期刊:
The American Economic Review
影响因子:
--
通讯作者:
Gil Riella
Gil Riella
中科院分区:
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文献类型:
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作者:
S. Cerreia;David Dillenberger;Pietro Ortoleva;Gil Riella

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我们研究随机选择作为故意随机化的结果。我们推导出随机选择函数的一般表示,其中随机性允许代理根据她对彩票的潜在偏好从任何集合中实现最大元素。我们表明,在这个模型中,选择的随机性捕获了集合中元素之间的互补性,因此必然意味着违反正则性/单调性,这是随机选择最常见的属性之一。此功能将我们的方法与其他模型(例如随机效用)区分开来。 (JEL D80、D81)
We study stochastic choice as the outcome of deliberate randomization. We derive a general representation of a stochastic choice function where stochasticity allows the agent to achieve from any set the maximal element according to her underlying preferences over lotteries. We show that in this model stochasticity in choice captures complementarity between elements in the set, and thus necessarily implies violations of Regularity/Monotonicity, one of the most common properties of stochastic choice. This feature separates our approach from other models, e.g., Random Utility. (JEL D80, D81)
DOI: 10.3982/ecta10575
发表时间: 2012-10
期刊: Econometrics: Multiple Equation Models eJournal
影响因子: --
作者:
Paola Manzini;M. Mariotti
通讯作者: Paola Manzini;M. Mariotti