Optimal career strategies and brain drain in academia

Seidl, A., Wrzaczek, S., El Ouardighi, F., & Feichtinger, G. (2016). Optimal career strategies and brain drain in academia. Journal of Optimization Theory and Applications 168 (1) 268-295. 10.1007/s10957-015-0747-3.

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Abstract

Some areas of science face the problem that many academics prefer the private sector over academia. This negatively affects the quality and the quantity of the research output as well as the availability of competent lecturers in these areas. The present paper investigates by means of an optimal control model how the reward of competencies in research and teaching in the private sector affects investments into these skills as well as the decision on whether and when to optimally leave academia. As the decision between academia and industry is obvious if a scientist has strong preference for either, we focus on scenarios where this is not the case. We notably show that the dynamic trade-off between academia and industry results in various forms of brain drain. In this regard, we first confirm that if academic competencies are well rewarded in the private sector, the most competent academics will leave academia. Further, we find scenarios where a scholar with intermediate competencies will try to improve his or her skills as much as possible before leaving academia and scenarios in which it is optimal to not put much effort into work and let competencies slowly depreciate before leaving. Even if scientists are highly skilled and motivated to stay, if poor working conditions do not support knowledge acquisition, competencies will inevitably fall and academia will consist solely of mediocre scholars. The results suggest that brain drain can be destructive for academia in the long run.

Item Type:	Article
Uncontrolled Keywords:	Optimal control; academic career; history dependence; human capital
Research Programs:	Air Quality & Greenhouse Gases (AIR)
Depositing User:	Romeo Molina
Date Deposited:	09 Aug 2016 10:14
Last Modified:	27 Aug 2021 17:27
URI:	https://pure.iiasa.ac.at/13639

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