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On one aspect of science policy based onan uncertain model

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  • C.S. Lee
  • G. Leitmann

Abstract

We discuss one aspect of the allocation of new scientists to teaching and research careers.In the past, this allocation problem was treated on the basis of a model with knownparameters and as a classical optimal control problem with the allocation proportion as thesole control. The utility function took both short‐ and long‐term goals into account. Here,we allow for uncertainty in the possibly time‐varying system parameters. We account forthe possibility of new scientists choosing careers other than teaching and research. Finally,we treat the allocation problem not as an open-loop optimal control one, but rather as one ofrobust control, insensitive to the system uncertainties, in order to assure the desired numbersof teachers and scientists within a computable horizon. Copyright Kluwer Academic Publishers 1999

Suggested Citation

  • C.S. Lee & G. Leitmann, 1999. "On one aspect of science policy based onan uncertain model," Annals of Operations Research, Springer, vol. 88(0), pages 199-214, January.
    • Handle: RePEc:spr:annopr:v:88:y:1999:i:0:p:199-214:10.1023/a:1018930329879
    DOI: 10.1023/A:1018930329879
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    Cited by:

    1. B. K. Ane & A. M. Tarasyev & C. Watanabe, 2007. "Impact of Technology Assimilation on Investment Policy: Dynamic Optimization and Econometric Identification," Journal of Optimization Theory and Applications, Springer, vol. 134(2), pages 321-338, August.
    2. S.A. Reshmin & A.M. Tarasyev & C. Watanabe, 2002. "Optimal Trajectories of the Innovation Process and Their Matching with Econometric Data," Journal of Optimization Theory and Applications, Springer, vol. 112(3), pages 639-655, March.
    3. A. M. Tarasyev & C. Watanabe, 2001. "Optimal Dynamics of Innovation in Models of Economic Growth," Journal of Optimization Theory and Applications, Springer, vol. 108(1), pages 175-203, January.

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