EconPapers    
Economics at your fingertips  
 

A Schumpeterian Growth Model with Heterogenous Firms

Antonio Minniti, Carmelo Parello and Paul Segerstrom

MPRA Paper from University Library of Munich, Germany

Abstract: 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: (i) the innovation size is far from being identical across industries; and (ii) 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 set-up 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.

Keywords: Schumpeterian Growth; R&D; optimal policy (search for similar items in EconPapers)
JEL-codes: E10 L16 O31 O38 (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/13674/2/MPRA_paper_13674.pdf original version (application/pdf)

Related works:
Working Paper: A Schumpeterian Growth Model with Heterogenous Firms (2008) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:13674

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-31
Handle: RePEc:pra:mprapa:13674