Efficient Tuition & Fees, Examinations and Subsidies

Robert J. Gary-Bobo, A. Trannoy
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引用次数: 32

Abstract

A student’s future log-wage is given by the sum of a skill premium and a random personal “ability” term. Students observe only a private, noisy signal of their ability, and universities can condition admission decisions on the results of noisy tests. We assume first that universities are maximizing social surplus, and contrast the results with those obtained when they maximize rents. If capital markets are perfect, and if test results are public knowledge, then, there is no sorting on the basis of test scores. Students optimally self-select as a result of pricing only. In the absence of externalities generated by an individual’s higher education, the optimal tuition is then greater than the university’s marginal cost. If capital markets are perfect but asymmetries of information are bilateral, i.e., if universities observe a private signal of each student’s ability, or if there are borrowing constraints, then, the optimal policy involves a mix of pricing and pre-entry selection based on the university’s private information. Optimal tuition can then be set below marginal cost, and can even become negative, if the precision of the university’s private assessment of students’ abilities is high enough.
有效的学费和费用,考试和补贴
学生未来的工资是由技能溢价和随机的个人“能力”项的总和给出的。学生只能观察到他们能力的一个私人的、嘈杂的信号,大学可以根据嘈杂的测试结果来决定录取。我们首先假设大学正在最大化社会剩余,并将其结果与最大化租金时获得的结果进行对比。如果资本市场是完美的,如果测试结果是公开的,那么就不存在以测试分数为基础的排序。学生只能根据价格自行选择。在不存在由个人高等教育产生的外部性的情况下,最优学费大于大学的边际成本。如果资本市场是完美的,但信息不对称是双边的,即如果大学观察到每个学生能力的私人信号,或者如果存在借款限制,那么,最优政策涉及基于大学私人信息的定价和入学前选择的组合。然后,最优学费可以设定在边际成本以下,如果大学对学生能力的私人评估足够精确,甚至可以变为负值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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