增加私立学校的参与和代金券计划的金钱损失会影响公立学校的表现吗?来自密尔沃基的证据

R. Chakrabarti
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引用次数: 100

摘要

密尔沃基代金券计划于1990年实施,只允许非宗派私立学校参与该计划。然而,根据威斯康星州最高法院的裁决,该计划于1998年扩大到包括宗教私立学校。代金券计划的第二阶段使私立学校的数量增加了三倍多,择优学生的数量增加了近四倍。此外,由于资助条款的一些变化,在该计划的第二阶段,每位学生因学券而造成的收入损失有所增加。本文从理论和经验两方面分析了这些变化对密尔沃基公立学校表现(以考试成绩衡量)的影响。它认为,学券设计很重要,学券计划参数的选择对于决定公立学校激励和绩效的影响至关重要。在公立学校和家庭行为的理论模型的背景下,本文确立了政策变化将导致公立学校在计划的第二阶段比第一阶段有所改善。根据Hoxby (2003a, 2003b)对实验组和对照组的分类,并使用1987-2002年的数据和差异中之差的趋势估计策略,本文表明理论预测得到了实证验证。该结果对替代样本和规格具有鲁棒性,并且可以通过鲁棒性检查,包括校正均值回归。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can Increasing Private School Participation and Monetary Loss in a Voucher Program Affect Public School Performance? Evidence from Milwaukee
The Milwaukee voucher program, as implemented in 1990, allowed only nonsectarian private schools to participate in the program. However, following a Wisconsin Supreme Court ruling, the program was expanded to include religious private schools in 1998. This second phase of the voucher program led to more than a three-fold increase in the number of private schools and almost a four-fold increase in the number of choice students. Moreover, because of some changes in funding provisions, the revenue loss per student from vouchers increased in the second phase of the program. This paper analyzes, both theoretically and empirically, the effects of these changes on public school performance (as measured by test scores) in Milwaukee. It argues that voucher design matters and that the choice of parameters in a voucher program is crucial in determining the effects of public school incentives and performance. In the context of a theoretical model of public school and household behavior, the paper establishes that the policy changes will lead to an improvement of the public schools in the second phase of the program as compared with the first phase. Following Hoxby (2003a, 2003b) in the classification of treatment and control groups and using 1987-2002 data and a difference-in-differences estimation strategy in trends, the paper then shows that the theoretical prediction is validated empirically. This result is robust to alternative samples and specifications and survives robustness checks, including correcting for mean reversion.
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