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We introduced the taxicab queuing mannequin as a metaphor for the STEM labor market. Relying on the STEM job phase, we can either have a queue of positions waiting to be filled (cf. taxis) or a queue of STEM employees ready for jobs (cf. passengers). The traits of the queue depend on different factors: the speed of job turnover (cf. taxi service price); the STEM worker arrival charge (cf. passenger arrival fee); the number of positions available (cf. the number of taxis within the fleet); the placement of the job; the diploma held by the employee (cf. sort of taxi); and the worker’s citizenship status. The model also highlights the probabilistic nature of the supply-and-demand market: random fluctuations can cause job segments that traditionally have a shortage of workers to have a surplus, and vice versa. Although we at present lack the data to operationalize the mannequin, it presents a novel approach to characterizing the variation throughout STEM job segments.
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