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We introduced the taxicab queuing mannequin as a metaphor for the STEM labor market. Relying on the STEM job segment, we can both have a queue of positions ready to be crammed (cf. taxis) or a queue of STEM staff waiting for jobs (cf. passengers). The traits of the queue rely upon various factors: the rate of job turnover (cf. taxi service price); the STEM worker arrival rate (cf. passenger arrival price); the variety of positions out there (cf. the variety of taxis in the fleet); the placement of the job; the diploma held by the employee (cf. type of taxi); and the worker’s citizenship status. The model also highlights the probabilistic nature of the provision-and-demand market: random fluctuations could cause job segments that traditionally have a scarcity of staff to have a surplus, and vice versa. Although we at the moment lack the information to operationalize the model, it presents a novel method to characterizing the variation across STEM job segments.

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