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We introduced the taxicab queuing model as a metaphor for the STEM labor market. Relying on the STEM job phase, we can both have a queue of positions waiting to be stuffed (cf. taxis) or a queue of STEM workers ready for jobs (cf. passengers). The traits of the queue depend on various factors: the rate of job turnover (cf. taxi service price); the STEM worker arrival charge (cf. passenger arrival charge); the variety of positions out there (cf. the variety of taxis in the fleet); the location of the job; the degree held by the employee (cf. sort of taxi); and the worker’s citizenship standing. The mannequin additionally highlights the probabilistic nature of the availability-and-demand market: random fluctuations could cause job segments that historically have a scarcity of employees to have a surplus, and vice versa. Although we at the moment lack the info to operationalize the mannequin, it presents a novel approach to characterizing the variation across STEM job segments.
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