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We introduced the taxicab queuing model as a metaphor for the STEM labor market. Depending on the STEM job segment, we will either have a queue of positions waiting to be crammed (cf. taxis) or a queue of STEM workers ready for jobs (cf. passengers). The characteristics of the queue depend on different factors: the speed of job turnover (cf. taxi service price); the STEM employee arrival rate (cf. passenger arrival charge); the variety of positions available (cf. the number of taxis within prices review the fleet); the situation of the job; the degree held by the employee (cf. kind 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 shortage of employees to have a surplus, and vice versa. Although we currently lack the info to operationalize the model, it presents a novel method to characterizing the variation across STEM job segments.

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