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three B. Lindsay Lowell and Harold Salzman, Into the eye of the storm: assessing the proof on science and engineering schooling, quality, and workforce demand (Washington, DC: Urban Institute, October 29, 2007); Anthony P. Carnevale, Nicole Smith, and Michelle Melton, STEM: science, know-how, engineering, arithmetic (Washington, DC: Georgetown College Center on Schooling and the Workforce, 2011); and Terrence Okay. Kelly, William P. Butz, Stephen Carroll, David M. Adamson, and Gabrielle Bloom, eds., The U.S. scientific and technical workforce (Santa Monica, CA, Arlington, VA, and Pittsburgh, PA: RAND Corporation, June 2004).
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We launched the taxicab queuing model as a metaphor for the STEM labor market. Relying on the STEM job segment, we will either have a queue of positions ready to be crammed (cf. taxis) or a queue of STEM workers waiting for jobs (cf. passengers). The characteristics of the queue rely upon various factors: the rate of job turnover (cf. taxi service charge); the STEM employee arrival price (cf. passenger arrival rate); the number of positions obtainable (cf. the variety of taxis within unemployed professors cost the fleet); the placement of the job; the diploma held by the employee (cf. kind of taxi); and the employee’s citizenship status. The model also highlights the probabilistic nature of the supply-and-demand market: random fluctuations could cause job segments that traditionally have a scarcity of workers to have a surplus, and vice versa. Although we at the moment lack the info to operationalize the model, it presents a novel approach to characterizing the variation across STEM job segments.
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