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Job assignment and bandit problems

Irene Valsecchi (Department of Statistics, University of Milano‐Bicocca, Milano, Italy)

International Journal of Manpower

ISSN: 0143-7720

Article publication date: 1 November 2003

792

Abstract

The paper is concerned with dynamic job assignment when observed performance is an imperfect signal of the worker's type. When the rate of learning from past performance depends upon the particular job performed, promotion can be due to good performance only at a job for which the resulting probability of mistaking a low‐ability type for a high‐ability type is higher than for the job the worker is upgraded to. Income risk can be greater for old workers than for young workers. The length of the worker's active life is relevant for job mobility notwithstanding optimal myopic procedures for job assignment. The dynamic perspective induced by learning can generate new forms of opportunism.

Keywords

Citation

Valsecchi, I. (2003), "Job assignment and bandit problems", International Journal of Manpower, Vol. 24 No. 7, pp. 844-866. https://doi.org/10.1108/01437720310502168

Publisher

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MCB UP Ltd

Copyright © 2003, MCB UP Limited

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