Socio-Economic Effects of Secondary School Tracking: Binding Teacher Recommendations vs. Free Parental Choice

中学跟踪的社会经济影响：有约束力的教师建议与自由家长选择

• 批准号: 336146422
• 负责人: Dr. Gregor Pfeifer
• 金额: --
• 依托单位: Fachgebiet Ökonometrie und Empirische Wirtschaftsforschung (520B)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2017
• 资助国家: 德国
• 起止时间: 2016-12-31 至 2019-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/336146422?language=en
• 关键词: Socio; Economic; Effects; Secondary; Tracking

This project aims to analyzing the influence of the assignment rule that determines the secondary school track in Germany, which the child is allowed to, or must attend. More precisely, differences between binding teacher recommendations and free parental choice are to be evaluated w.r.t. educational outcomes. These outcomes are supposed to provide information on how to allocate pupils most efficiently and, at the same time, decrease social inequality.For this purpose, it is first examined whether a change in the institutional setting leads to a causal and significant shift in transition rates, e.g., towards higher school forms if binding teacher recommendations are abolished. Secondly, it is asked whether these children perform successfully at the beginning of secondary school. For this purpose, the project elaborates on the causal effect on repetition rates for pupils in 5th grade. Lastly, such outcomes are to be analyzed separately for pupils with and without migration background. To identify the causal effects of interest, recent policy reforms are to be exploited that led to the abolition of mandatory teacher recommendations, using non-reformed states as the control group. Particularly, Synthetic Control Methods (SCM) will be conducted (see Abadie et al. 2010): a data-driven algorithm is used to construct a synthetic counterfactual as an optimally weighted average of several potential control units. In this project, however, a dis-aggregated (from state to district level) version of the SCM approach is developed and applied, which is supposed to increase precision in estimation and inference by creating effect distributions.

本项目旨在分析决定德国中学轨道的分配规则的影响，该规则允许儿童或必须参加。更准确地说，有约束力的教师推荐和家长自由选择之间的差异将被评估w.r.t.教育成果。这些结果应该提供关于如何最有效地分配学生的信息，同时减少社会不平等。如果废除具有约束力的教师推荐，高等学校的形式将更加多样化。第二，询问这些儿童在中学开始时是否表现良好。为此，该项目阐述了对五年级学生留级率的因果影响。最后，将对有和没有移民背景的学生的这种结果分别进行分析。为了确定利益的因果关系，最近的政策改革被利用，导致废除强制性教师推荐，使用非改革的国家作为对照组。特别是，将进行合成控制方法（SCM）（见Abadie等人，2010年）：数据驱动算法用于构建合成反事实，作为几个潜在控制单元的最佳加权平均值。然而，在这个项目中，开发和应用了SCM方法的分解版本（从州到地区一级），该版本应该通过创建效果分布来提高估计和推断的精度。