The massification of higher education in Poland means that many students choose this educational pathway to improve their chances for a good job. Therefore, the labour market outcomes of graduates provide an important perspective for future students, higher education institutions, as well as decision makers at the national level. The Polish Graduate Tracking System (ELA), based on administrative data, is designed to monitor graduates' outcomes in the labour market by type of studies, higher education institution, as well as individual curricula. Results of the first two years of graduate tracking show that the outcomes vary by study area, but also change over time. While in the first months after graduation, aspects such as prior experience in the labour market and place of residence have a substantial effect on employment chances, in the longer run, they lose their importance relative to other factors.

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The expansion of higher education resulted in a growing interest in post‐graduation labour market outcomes. Two conflicting narratives are present in the debate. The first focuses on the shortage of skills and the need for further expansion of the sector and seems to pertain mostly to science, technology, engineering, and mathematics (STEM). The second revolves around over‐education and mismatch leading to graduate unemployment or underemployment. Such concerns pertain especially to humanities and social sciences. However, in this article, we argue that the STEM versus non‐STEM opposition on which this debate is premised is not adequate for analysing post‐graduation labour market outcomes. We leverage a unique administrative dataset comprising monthly records on the labour market status of the entire population of recent Polish university graduates (N = 161,323) to demonstrate the heterogeneity of the STEM category in terms of labour market outcomes and the limited predictive value of the field of study for those outcomes. We argue that the category is too broad and internally diverse to be used as an overarching category, especially in research meant to inform policymaking.

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SPATIAL GENERALIZATION OF SHAPLEY VALUE FOR SIMPLE GAMES AS THE STRONG POINT IN THE CHAOS OF IDEOLOGY