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We launched the taxicab queuing model as a metaphor for the STEM labor market. Depending on the STEM job section, we are able to either have a queue of positions waiting to be filled (cf. taxis) or a queue of STEM workers ready for jobs (cf. passengers). The characteristics of the queue rely on various factors: the speed of job turnover (cf. taxi service charge); the STEM employee arrival price (cf. passenger arrival fee); the variety of positions obtainable (cf. the number of taxis within the fleet); the situation of the job; the degree held by the worker (cf. sort of taxi); and the employee’s citizenship standing. The model additionally highlights the probabilistic nature of the provision-and-demand market: random fluctuations could cause job segments that historically have a shortage of employees to have a surplus, and vice versa. Though we at present lack the data to operationalize the model, it presents a novel approach to characterizing the variation across STEM job segments.
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