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As Good as Married? A Model of Premarital Cohabitation and Learning

机译:和结婚一样好?婚前同居和学习的模型

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This article develops a two-sided search-matching model with imperfectly observed types and sequential learning. We use the metaphor of premarital cohabitation and assume that it is initiated to learn more about one's prospective spouse. We show that couples match within classes and that the classes of cohabiting and married couples partially overlap. Couples are more discriminating about whom they marry than whom they cohabit with. We demonstrate that cohabiting individuals eventually learn each other's true type. We show that sequential learning during cohabitation reduces signaling errors and that the Bayes estimator of true type converges almost surely to true type. As noisy information is filtered over time, the risk of mismatch disappears and the aggregate matching pattern based on true types is restored.
机译:本文开发了一种具有不完善的观察类型和顺序学习的双面搜索匹配模型。我们使用婚前同居的比喻,并假设它是开始学习以了解更多有关其预期配偶的信息。我们证明夫妻在班级内相配,同居和已婚夫妻的班级部分重叠。夫妻比同居的人更歧视他们要嫁给谁。我们证明,同居的个体最终会学习彼此的真实类型。我们证明了在同居期间的顺序学习减少了信号错误,并且真实类型的贝叶斯估计几乎可以肯定地收敛到真实类型。由于随着时间的推移过滤了嘈杂的信息,因此不匹配的风险消失了,并且基于真实类型的聚合匹配模式得以恢复。

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