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Efficiency of Finnish general upper secondary schools: an application of stochastic frontier analysis with panel data

机译:芬兰普通高中的效率:随机前沿分析和面板数据的应用

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Different stochastic frontier models for panel data are used to estimate education production functions and the efficiency of Finnish general upper secondary schools. Grades in the matriculation examination are used as an output and explained with the comprehensive school grade point average, parental socio-economic background, school resources, the length of studies and the decentralization of test-taking. Heterogeneity across schools is allowed for by estimating true random effect (TRE), random parameter (RP) and true fixed effect (TFE) models. The results show that inefficiency and rankings of schools based on their inefficiency scores vary considerably depending on the type of stochastic frontier model applied. The lowest estimates for inefficiency are obtained with TRE, RP and TFE models, which separate time-constant random or fixed effects from inefficiency. The length of studies and the decentralization of test-taking negatively affect student achievement.View full textDownload full textJEL classificationI21Keywordsefficiency, stochastic frontier analysis, secondary educationRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/09645292.2010.510862
机译:面板数据的不同随机前沿模型用于估计教育生产功能和芬兰普通高中的效率。入学考试的成绩用作输出,并用综合的学校平均成绩,父母的社会经济背景,学校资源,学习时间和考试分散来解释。通过估计真正的随机效应(TRE),随机参数(RP)和真正的固定效应(TFE)模型,可以实现学校间的异质性。结果显示,根据所应用的随机前沿模型的类型,学校的低效率和基于低效率分数的排名差异很大。使用TRE,RP和TFE模型可获得最低的效率低下估计值,该模型将时间常数随机或固定效应与效率低下分开。学习时间的长短和考试的分散性会对学生的成绩产生负面影响。 ,technorati,可口,linkedin,facebook,stumbleupon,digg,google,更多”,发布号:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/09645292.2010.510862

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  • 来源
    《Education Economics》 |2012年第4期|p.343-364|共22页
  • 作者

    Tanja Kirjavainena*;

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  • 入库时间 2022-08-17 13:05:05

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