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A Schumpeterian growth model with random quality improvements

  • Antonio Minniti

    ()

  • Carmelo Parello

    ()

  • Paul Segerstrom

    ()

A common assumption in the Schumpeterian growth literature is that the innovation size is constant and identical across industries. This is in contrast with the empirical evidence which shows that: (1) innovation size is not identical across industries and (2) the size distribution of profit returns from innovation is highly skewed toward the low value side, with a long tail on the high value side. In the present paper, we develop a Schumpeterian growth model that is consistent with this evidence. In particular, we assume that when a firm innovates, the size of its quality improvement is the result of a random draw from a Pareto distribution. This enables us to extend the class of quality-ladder growth models to encompass firm heterogeneity. We study the policy implications of this new setup numerically and find that it is optimal to heavily subsidize R&D for plausible parameter values. Although it is optimal to tax R&D for some parameter values, this case only occurs when the steady-state rate of economic growth is very low. Copyright Springer-Verlag 2013

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File URL: http://hdl.handle.net/10.1007/s00199-011-0664-0
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Article provided by Springer in its journal Economic Theory.

Volume (Year): 52 (2013)
Issue (Month): 2 (March)
Pages: 755-791

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Handle: RePEc:spr:joecth:v:52:y:2013:i:2:p:755-791
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