Increasing Returns, Learning-By-Doing And Neural Networks

Nicola De Liso, Carmine Lubritto and Giovanni Filatrella

Economics of Innovation and New Technology, 2001, vol. 10, issue 4, 325-337

Abstract: In this paper we draw an analogy between the process of learning-bydoing and the learning process which develops in a neural network context. The bridging tool we refer to is a dynamic production function whose only variable input is labour. By concentrating on the 'neural network production function' we show that the learning process can lead to increasing returns. The simulations show that when learning is characterized by an upper limit. returns are increasing for some time, while in the long run they go back to the level where they are constant.

Keywords: increasing returns; learning-bydoing; learning function (search for similar items in EconPapers)
Date: 2001
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DOI: 10.1080/10438590100000013

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