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We launched the taxicab queuing model as a metaphor for the STEM labor market. Depending on the STEM job phase, we can either have a queue of positions waiting to be crammed (cf. taxis) or a queue of STEM staff ready for jobs (cf. passengers). The traits of the queue rely upon various factors: the rate of job turnover (cf. taxi service fee); the STEM employee arrival price (cf. passenger arrival price); the variety of positions available (cf. the variety of taxis within the fleet); the location of the job; the degree held by the worker (cf. type of taxi); and the worker’s citizenship standing. The mannequin additionally highlights the probabilistic nature of the supply-and-demand market: random fluctuations can cause job segments that historically have a shortage of workers to have a surplus, and vice versa. Though we at the moment lack the data to operationalize the model, it presents a novel strategy to characterizing the variation throughout STEM job segments.
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