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...
Saved in:
| Main Authors: | Bassey Henshaw, Bhupesh Kumar Mishra, William Sayers, Zeeshan Pervez |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Analytics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2813-2203/4/1/10 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Workload and salary as determinants of pedagogical graduates’ employment by occupation
by: L. M. Nurieva, et al.
Published: (2021-12-01) -
The phenomenon of declining relative earnings of graduates
by: Marek Rocki
Published: (2025-06-01) -
Constitutionality issues within the taxation of salaries in Serbia
by: Kostić Svetislav V.
Published: (2018-01-01) -
Demographic and Job Burnout Analysis on Working Mothers in Indonesia
by: Jeni Wulandari, et al.
Published: (2025-04-01) -
THE SALARY NEGOTIATION STRATEGY
by: ANCA JARMILA GUŢĂ
Published: (2017-12-01)