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To examine the production of Ph.D.’s for the tutorial job market, we and a colleague borrowed the concept of R0, the basic reproduction number, and applied it to academia. 14 For academia, R0 was outlined as the imply variety of new Ph.D.’s a typical tenure-observe faculty member will graduate throughout his or her tutorial bid for papers profession. When R0 = 1.0, each professor, on average, graduates one new Ph.D. that may exchange him or her. When R0 > 1.0, the number of school slots has remained nearly constant and there are more staff with doctorates than there are college positions.
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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 waiting for jobs (cf. passengers). The characteristics of the queue depend upon various factors: the rate of job turnover (cf. taxi service price); the STEM worker arrival price (cf. Related Post: active passenger arrival charge); the variety of positions obtainable (cf. the variety of taxis in the fleet); the situation of the job; the degree held by the worker (cf. kind of taxi); and the worker’s citizenship status. 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. Although we at the moment lack the information to operationalize the model, it presents a novel method to characterizing the variation throughout STEM job segments.