Determinants of Starting Salaries for Filipino Graduates: An Explainable Machine Learning Approach
Filipino graduates face a persistent disconnect between educational preparation and labor market outcomes, where starting salary is a key signal of entry-level valuation. Current Philippine research is dominated by descriptive tracer studies that document employment rates but do not explain the determinants of pay. We address this gap using a crowd-sourced survey dataset of graduate responses whose noisy, self-reported nature makes it a challenging prediction target. Applying machine learning to this problem, we identify job role and industry as the dominant determinants of starting salary, significantly outweighing institutional prestige. The strength of this finding is its central contr...
| Authors | Alexander Gabriel A. Aranes, John Michael C. Magpantay, Reginald Neil C. Recario et al. |
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| Primary category | cs.CY |
| Published | 17 July 2026 |
| Last updated at source | 17 July 2026 |
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