Aiming at exploring the effect of four factors on fresh graduate’s three popular career choices of continuing studying, working in state-owned enterprises, and working in private enterprises, this paper collects the specific information of 3237 students and builds the GM (0, N) model. The four variables include student’s grade point average (GPA), socioeconomic status (SES), gender, and whether the student comes from an urban household. Furthermore, this paper also considers the effect of the fractional order and proposes a fractional grey model (FGM (0, N) model) to enhance the performance of the traditional model. Eventually, the study finds that there are still some students with financial problems, which makes some negative effects on their choices of continuing studying and working in state-owned enterprises. Additionally, all the other three factors show the positive influence on the three choices. Besides, GPA shows the most positive effect on the choices of continuing studying as well as working in a state-owned enterprise; gender and SES have the greatest impact on the choice of working in a private enterprise.

中文翻译：

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一种用于模拟应届毕业生职业选择的分数阶灰色多变量模型

【摘要】：旨在探讨4个因素对应届毕业生继续学习、国企工作和民企工作这三种热门职业选择的影响,收集3237名学生的具体信息,构建GM(0, N )模型。这四个变量包括学生的平均绩点 (GPA)、社会经济地位 (SES)、性别以及学生是否来自城市家庭。此外，本文还考虑了分数阶的影响，提出了分数阶灰度模型（FGM(0, N) 模型) 以增强传统模型的性能。最终，研究发现仍有部分学生存在经济困难，这对他们继续在国企继续学习和工作的选择产生了一定的负面影响。此外，所有其他三个因素都显示出对三个选择的积极影响。此外，GPA对继续学习和在国企工作的选择表现出最积极的影响；性别和社会经济地位对选择在私营企业工作的影响最大。