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arXiv 2302.01498math.OC
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具有时间不一致成本的均衡输运

Equilibrium transport with time-inconsistent costs

Erhan Bayraktar, Bingyan Han

AI总结:

本文提出离散时间下具有时间不一致偏好的均衡输运概念,证明其存在性与唯一性,并应用于均值-方差匹配和就业市场错配,发现错配与状态依赖正相关。

摘要:

针对序列数据上的两个概率测度,我们研究了离散时间设置下具有时间不一致偏好的输运问题。激励性例子包括非线性目标、状态依赖成本以及具有一般$f$-散度的正则化最优输运。在双因果约束下,我们引入了均衡输运的概念。在半离散马尔可夫情形和具有严格拟凸性的连续非马尔可夫情形下,证明了存在性,而在第二种情形下唯一性也成立。我们将该框架应用于研究均值-方差动态匹配、具有高斯数据的非线性或状态依赖目标以及就业市场中的错配。数值结果表明错配与状态依赖之间存在正相关关系。

英文摘要:

Given two probability measures on sequential data, we investigate the transport problem with time-inconsistent preferences in a discrete-time setting. Motivating examples are nonlinear objectives, state-dependent costs, and regularized optimal transport with general $f$-divergence. Under the bicausal constraint, we introduce the concept of equilibrium transport. Existence is proved in the semi-discrete Markovian case and the continuous non-Markovian case with strict quasiconvexity, while uniqueness also holds in the second case. We apply our framework to study mean-variance dynamic matching, nonlinear or state-dependent objectives with Gaussian data, and mismatches in job markets. Numerical results indicate a positive relationship between mismatches and state dependence.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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