G. Cozzi
The refoundation of the symmetric equilibrium in Schumpeterian growth models
Cozzi, G.; Giordani, P.E.; Zamparelli, L.
Authors
P.E. Giordani
L. Zamparelli
Abstract
We provide a refoundation of the symmetric growth equilibrium characterizing the research sector of vertical R&D-driven growth models. We argue that the usual assumptions made in this class of models leave the agents indifferent as to where targeting research: hence, the problem of the allocation of R&D investment across sectors is indeterminate. By introducing an “ε-contamination of confidence” in the expected distribution of R&D investment, we prove that the symmetric structure of R&D investment is the unique rational expectations equilibrium compatible with ambiguity-averse agents adopting a maxmin strategy.
Citation
Cozzi, G., Giordani, P., & Zamparelli, L. (2007). The refoundation of the symmetric equilibrium in Schumpeterian growth models. Journal of Economic Theory, 136(1), 788-797. https://doi.org/10.1016/j.jet.2006.10.006
Journal Article Type | Article |
---|---|
Publication Date | Sep 1, 2007 |
Deposit Date | Feb 15, 2010 |
Journal | Journal of Economic Theory |
Print ISSN | 0022-0531 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 136 |
Issue | 1 |
Pages | 788-797 |
DOI | https://doi.org/10.1016/j.jet.2006.10.006 |
Keywords | R&D-driven growth models, Indeterminacy, Ambiguity, ε-contamination. |
Public URL | https://durham-repository.worktribe.com/output/1522121 |
You might also like
Effects of economic development in China on skill-biased technical change in the US
(2014)
Journal Article
R&D and Economic Growth in a Cash-in-Advance Economy
(2014)
Journal Article
Government Spending Composition, Technical Change, and Wage Inequality
(2010)
Journal Article
Ambiguity attitude, R&D investments and economic growth
(2011)
Journal Article
Rat race, redistribution, and growth
(2004)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search