Abstract
The paper describes an artificial world type model of an economy with heterogeneous firms and agents. The firms compete through process innovations and the reduction of costs obtained by good choices and allocations of types of workers. Firms learn to take good decisions through a neural network. In this environment recruitment policies affect growth and unemployment greatly A selection paradox emerges Ranking workers, by improving firms’ efficiency, makes growth less stochastic, and lowers unemployment as well as the proportion of long term unemployed 1.
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© 1997 Springer-Verlag Berlin Heidelberg
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Ballot, G., Merlateau, MP., Meurs, D. (1997). Personnel Policies, Long Term Unemployment and Growth. An Evolutionary Model. In: Conte, R., Hegselmann, R., Terna, P. (eds) Simulating Social Phenomena. Lecture Notes in Economics and Mathematical Systems, vol 456. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03366-1_21
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DOI: https://doi.org/10.1007/978-3-662-03366-1_21
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