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Graph Configuration Model based Evaluation of the Education-Occupation Match

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doi.org2025-03-22 收录
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http://doi.org/10.17632/wkb7s93y42.1
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Graph Configuration Model based Evaluation of the Education-Occupation Match Laszlo Gadar and Janos Abonyi We developed a graph-based model of education to work transition. To extract the hidden structure of the career paths we analyzed the degree distributions of the bipartite graphs of educational programs and professions, and we modified the Newman modularity measure to evaluate their matching. The proposed network model is based on the integration of the databases of the National Tax Administration, the National Health Insurance Fund, and the data warehouse of the Hungarian higher education. To demonstrate the information content of this administrative database, we presented a brief analysis of gender pay gap and the spatial distribution of over-education. The calculated matching measures and clusters can support policymakers to fine-tune the fragmented program structure of the Hungarian higher education. The R code that generates all the results (and figures) is also avaliable in this repository. The CSV file is based on the integration of the databases of the National Tax Administration, the National Health Insurance Fund, and the data warehouse of the Hungarian higher education. The analyzed administrative data covers 15 thousand people graduated in 2009/2010 school year and worked in 2012 May. Based on the data of 7402 bachelor students we defined a bipartite graph of 110 bachelor programs and 113 occupations encoded by the third level of International Standard Classification of Occupations (ISCO) code system.

基于图配置模型的学历与职业匹配评估 作者:Laszlo Gadar 和 Janos Abonyi 本研究构建了一种基于图的学历向工作过渡模型。为揭示职业路径的潜在结构,我们对教育项目与职业的双边图中的度分布进行了分析,并改进了Newman模块度度量方法以评估其匹配度。所提出的网络模型基于国家税务局、国家医疗保险基金和匈牙利高等教育数据仓库数据库的整合。为展示该行政数据库的信息含量,我们展示了性别薪酬差距及过度教育空间分布的简要分析。计算出的匹配指标和聚类结果能够支持政策制定者对匈牙利高等教育碎片化课程结构进行精细调整。 生成所有结果(及图表)的R代码也存放在本仓库中。 CSV文件基于国家税务局、国家医疗保险基金和匈牙利高等教育数据仓库数据库的整合。所分析的行政数据覆盖了2009/2010学年度毕业并在2012年5月工作的1.5万人。基于7402名本科生的数据,我们定义了一个包含110个本科专业和113个职业(以国际标准职业分类(ISCO)编码系统的第三级编码表示)的双边图。
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