论文标题
部分可观测时空混沌系统的无模型预测
School choice with independent versus consolidated districts
论文作者
论文摘要
本文研究了学区合并的福利效应。使用不完整的排名清单（ROLS）提交给匈牙利中学系统的入学，我们估计完整的ROL假设父母不使用主导的策略，并且匹配的结果是稳定的。这些估计有助于构建反事实的基于地区的任务，并辨别推动父母对学校偏好的因素。我们发现，地区整合会导致布达佩斯的福利收益，相当于在距离住所更近五公里的学校上学的学生。这些收益抵消了合并任务中产生的额外旅行距离。 73 \％的匹配学生受益于地区合并，而少于3 \％的学生则被分配到不太首选的学校。来自较小和较少的地区的学生以及具有较高学术能力的人的受益更多。使用报告的偏好而不是估计的偏好也可以从地区合并中获得巨大的收益。
This paper studies the welfare effects of school district consolidation. Using incomplete rank-ordered lists (ROLs) submitted for admission to the Hungarian secondary school system, we estimate complete ROLs assuming that parents do not use dominated strategies and that the matching outcome is stable. These estimates aid in constructing a counterfactual district-based assignment and discerning the factors driving parents' preferences over schools. We find that district consolidation leads to large welfare gains in Budapest, equivalent to students attending a school five kilometres closer to their residences. These gains offset the additional travel distances incurred in the consolidated assignment. 73\% of matched students benefit from district consolidation, while fewer than 3\% are assigned to a less preferred school. Students from smaller and less under-demanded districts benefit relatively more, as well as those with high academic ability. Using reported preferences instead of estimated ones also yields large gains from district consolidation.
