一个受DEA启发的评估经合组织国家教育效率的模型

Q4 Economics, Econometrics and Finance
Ignacio Contreras Rubio, C. Dominguez-Gil
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引用次数: 1

摘要

本文将实证应用于各国教育系统绩效效率的研究。根据2015年PISA中发布的信息,数据包络分析方法被认为是评估经合组织国家使用教育资源的效率。与以前的研究类似,考虑了学习、财务、人力资源、物质和时间所需的主要资源。与以前的提案不同,平均分数没有作为过程的输出。相反,为了量化学习过程的结果,计算了PISA测试中每个熟练程度的学生百分比。提出了一个基于加性DEA模型的特设模型,使公式适应所考虑的输出向量的特定特征。考虑到产出的总价值是固定的,并且产出的相对权重不同,低效单位通过在不同产出之间重新分配固定价值,将单位从价值较低的单位转移到价值最高的单位,来提高其性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A DEA-inspired model to evaluate the efficiency of education in OECD countries
In this paper empirical application to the study about the efficiency of the performance of the educational systems across countries is developed. With the information published in the PISA 2015, Data Envelopment Analysis methodology is considered to evaluate the efficiency in the use of the resources devoted to education by OECD countries. Similar to previous studies, the main resources needed for learning, financial, human resources, material and time have been considered. Alternatively to previous proposals, the mean scores have not been included as the output of the process. Instead of that, to quantify the results of the learning process, the percentages of students in each proficiency level of the PISA test have been computed. An ad hoc model based on the Additive DEA-model is proposed, adapting the formulation to the particular features of the vector of outputs considered. Considering that the aggregate value of output is fixed and that the relative weight of the outputs differs, inefficient units improve their performance by reallocating that fixed value among different outputs, moving units from the less valued to the most valued ones.
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来源期刊
Revista de Metodos Cuantitativos para la Economia y la Empresa
Revista de Metodos Cuantitativos para la Economia y la Empresa Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
0.80
自引率
0.00%
发文量
26
审稿时长
15 weeks
期刊介绍: The Journal of Quantitative Methods for Economics and Business Administration wants to be a useful mean of communication for all those who research on mathematical, statistical or econometrical techniques and their possible applications in the world of business and economy. It is edited by a group of professors in the Department of Economics, Quantitative Methods and Economic History Department at Pablo de Olavide University in Seville ( Spain ).
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