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three B. Lindsay Lowell and Harold Salzman, Into the attention of the storm: assessing the proof on science and engineering training, quality, and workforce demand (Washington, DC: City Institute, October 29, 2007); Anthony P. Carnevale, Nicole Smith, and Michelle Melton, STEM: science, know-how, engineering, arithmetic (Washington, DC: Georgetown University bid 4 papers reviews Heart on Schooling and the Workforce, 2011); and Terrence Ok. 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 Company, June 2004).

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We introduced the taxicab queuing mannequin as a metaphor for the STEM labor market. Depending on the STEM job section, we are able to both have a queue of positions ready to be stuffed (cf. taxis) or a queue of STEM employees waiting for jobs (cf. passengers). The characteristics of the queue rely upon different factors: the speed of job turnover (cf. taxi service fee); the STEM worker arrival charge (cf. passenger arrival charge); the number of positions available (cf. the number of taxis within bid4paper the fleet); the situation of the job; the degree held by the employee (cf. type of taxi); and the employee’s citizenship standing. The model additionally highlights the probabilistic nature of the supply-and-demand market: random fluctuations may cause job segments that traditionally have a shortage of staff to have a surplus, and vice versa. Although we at the moment lack the information to operationalize the model, it presents a novel strategy to characterizing the variation across STEM job segments.

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