The effect of grading policies on Italian Universities’ attractiveness: A Conditional Multinomial Logit approach

IF 0.6 Q4 STATISTICS & PROBABILITY Electronic Journal of Applied Statistical Analysis Pub Date : 2019-12-15 DOI:10.1285/I20705948V12N4P801
G. Lombardi, G. Ghellini
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引用次数: 6

Abstract

Through the decades, the Higher Education System globally experimented a huge increase in the average marks that each student receives. Among several hypothesis, in this article the idea that grading is one of the tool that every department can use in order to attract a larger amount of students will be stressed. Regarding the Italian case, the speed in obtaining a degree is among the criteria considered by the Ministry of Education in order to evaluate universities, financing them proportionally. As a shortcoming, this can boost an artificial increase in marks. So, the number of students becomes important for those universities with the worst ranking positions, in order to finance themselves through fees. On the other side, it is reasonable to expect that a student emigrates toward places which offer higher chances of receiving a job. In other words, mobility might be driven by the search for better working conditions, and not by the 'ease' of the faculty. Testing this hypothesis, a Multinomial Conditional Logit Model will be implemented in order to measure the probability of choosing a certain destination depending on the harshness and reputation of a University and on the rates of unemployment at a regional level.
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评分政策对意大利大学吸引力的影响:条件多项式Logit方法
几十年来,高等教育系统在全球范围内尝试大幅提高每个学生的平均分数。在几项假设中,本文将强调评分是每个系都可以用来吸引更多学生的工具之一。关于意大利的案例,教育部考虑的评估大学的标准之一是获得学位的速度,并按比例为大学提供资金。作为一个缺点,这可能会人为地提高分数。因此,对于排名最差的大学来说,学生人数变得很重要,以便通过收费来养活自己。另一方面,可以合理地预期学生会移民到有更高就业机会的地方。换句话说,流动性可能是由寻找更好的工作条件驱动的,而不是由教师的“轻松”驱动的。为了检验这一假设,将实施多项式条件Logit模型,以根据大学的严酷程度和声誉以及地区层面的失业率来衡量选择某个目的地的概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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自引率
14.30%
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