The Long Term Legacy of School Choice

该项目将评估在更好的学校上学对中学生长期成果的影响-例如获得高等教育的机会和成功，除此之外，还包括反映在收入中的劳动力市场成功。与其他研究不同的是，这项研究将关注不去自己最喜欢的学校的影响。其目的是集中在学校选择的后果。分析将是定量的，将涉及详细的统计分析的纵向研究的年轻人在英格兰（LSYPE）。该数据集跟踪了17000名从14岁开始通过教育系统进入劳动力市场的年轻人。他们现在25岁了，最后一次扫描数据集即将提供给研究人员。该数据集提供了关于孩子、父母和学校的丰富信息。我们将超越调查的结果是教育成就，这是研究人员（GCSE和A级）通常关注的焦点，包括幸福，心理健康，被欺负，缺席，犯罪，青少年性行为和怀孕，以及一系列非认知技能（诚实，等等）。重要的是，这些学生通过他们的高等教育经历进行跟踪，这样我们就可以调查在第二好学校的影响：对高等教育的渴望，申请，参加精英机构，辍学和学位课程。最后，这些数据现在包含了受试者在劳动力市场的早期经历中获得的一些收入和就业信息。一个人可能最喜欢当地的优秀学校，但如果没有这样的学校，他可能会选择一所质量令人满意的当地学校，或者一所质量更好的更远的学校。家长为子女所作的选择，会在较佳的学校质素与额外交通时间的不便之间取得平衡。这项新的研究将利用早期的研究，分析家长对孩子学校的偏好-基于英格兰所有家长对最近两个队列的偏好。这项早期的研究提供了父母准备在多大程度上为更好的质量而牺牲更少的距离的统计估计。我们在这个更丰富的数据集中使用我们对这种权衡的了解。我们可以计算LSYPE数据中家庭和学校之间的距离，我们知道该学校的质量-例如，以5+ A-C GCSE的百分比表示。我们可以看到一个人可能上过的其他学校的位置，我们观察它们的质量和距离。我们的估计使我们能够根据我们对录取标准的了解来计算进入每个潜在学校的概率。这项工作将使决策者了解提供更好选择的好处，并使父母了解做出更好选择的好处。

This project will evaluate the effect of attending a better school on long term outcomes for secondary school students - such as access to, and success in, higher education, and beyond that to include labour market success reflected in earnings. Unlike other research that looks at the effects of schools attended on outcomes, this research will focus on the effect of NOT going to one's most preferred school. The aim is to focus on the consequences of school choice.The analysis will be quantitative and will involve detailed statistical analysis of the Longitudinal Study of Young People in England (LSYPE). This dataset follows 17000 young people from age 14 through the education system and into the labour market. They are now 25 and the last sweep of the dataset is about to become available to researchers. The dataset gives rich information about the child, the parents, and the school. The outcomes that we will go beyond investigate are the educational attainments that is the usual focus of attention for researchers (GCSE's and A-levels) to include well-being, mental health, being bullied, absence, crime, teen sex and pregnancy, and a range of non-cognitive skills (conscientiousness, and the like). Importantly, these students are followed through their higher education experience so we can investigate the impact of being in a second best school on: aspirations to higher education, application, attending an elite institution, dropping-out, and degree class. Finally, the data now contains some earnings and employment information from the subjects' early experiences of the labour market.School choice involves a trade-off between school proximity and school quality. One might most prefer a local excellent school but if that is not available the choice might be between a local school, that is of satisfactory quality, and a more distant school that is of better quality. The choices that parents make for their children will balance the better school quality against the inconvenience of extra travel time, among other things. This new research will exploit earlier research that analyses the preferences that parents have for schools for their children - based on the preferences expressed by all parents in England for two recent cohorts. This earlier research provides statistical estimates of the extent to which parents are prepared to trade off lesser proximity for better quality. We use our knowledge of this trade-off in this much richer dataset. We can calculate the distance between home and school attended in the LSYPE data and we know the quality of that school - for example, in terms of % with 5+ A-C GCSEs. And we can see the location of other schools that one might have attended and we observe their quality and proximity. Our estimates allow us to calculate the probability of attending each potential school, from our knowledge of the admission criteria. The work will inform policymakers about the benefits of providing better choices, and will inform parents about the benefits of making better choices.