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A Fractional Grey Multivariable Model for Modeling Fresh Graduates’ Career Choice

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  • Xiaoen Yang
  • Taiming Cui
  • Minghuan Shou
  • Shuhua Mao

Abstract

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.

Suggested Citation

  • Xiaoen Yang & Taiming Cui & Minghuan Shou & Shuhua Mao, 2021. "A Fractional Grey Multivariable Model for Modeling Fresh Graduates’ Career Choice," Journal of Mathematics, Hindawi, vol. 2021, pages 1-10, July.
    • Handle: RePEc:hin:jjmath:8237600
    DOI: 10.1155/2021/8237600
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