Unveiling the Impact of Socioeconomic and Demographic Factors on Graduate Salaries: A Machine Learning Explanatory Analytical Approach Using Higher Education Statistical Agency Data

Unveiling the Impact of Socioeconomic and Demographic Factors on Graduate Salaries: A Machine Learning Explanatory Analytical Approach Using Higher Education Statistical Agency Data

Graduate salaries are a significant concern for graduates, employers, and policymakers, as various factors influence them. This study investigates determinants of graduate salaries in the UK, utilising survey data from HESA (Higher Education Statistical Agency) and integrating advanced machine learn...

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Bibliographic Details
Main Authors: Bassey Henshaw, Bhupesh Kumar Mishra, William Sayers, Zeeshan Pervez
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Analytics
Subjects:
graduate salaries
higher education
machine learning
socioeconomic and demographic factors
statistical analysis
SHAP
Online Access:https://www.mdpi.com/2813-2203/4/1/10
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