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Abstract We compare the different methods used to measure field‐of‐study mismatch. A first part reviews the literature, detailing, and discussing the different approaches. A second part uses a dataset allowing one to investigate whether these different approaches result in differences with respect to the incidence and determinants of field‐of‐study mismatch. As substantial differences do indeed exist, even among variants of similar approaches, we conclude that empirical results should be interpreted with caution. While making several recommendations concerning the measurement of field‐of‐study mismatch, we also call for more focused research on the validity and reliability of field‐of‐study mismatch measures.
Sellami et al. (Mon,) studied this question.