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We introduced the taxicab queuing model as a metaphor for the STEM labor market. Relying on the STEM job segment, we will both have a queue of positions ready to be filled (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 charge); the STEM worker arrival price (cf. passenger arrival rate); the number of positions obtainable (cf. the number of taxis in the bid4papers fleet); the placement of the job; the degree held by the employee (cf. Related Post: more hints type of taxi); and the worker’s citizenship status. The mannequin also highlights the probabilistic nature of the provision-and-demand market: random fluctuations can cause job segments that historically have a scarcity of workers to have a surplus, and vice versa. Although we at the moment lack the information to operationalize the mannequin, it presents a novel strategy to characterizing the variation throughout STEM job segments.

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