Dynamics and Welfare in Recombinant Growth Models with Intellectual Property Rights: a Computational Method

Fabio Privileggi and Simone Marsiglio

Department of Economics and Statistics Cognetti de Martiis. Working Papers from University of Turin

Abstract: We consider the extended continuous time endogenous recombinant growth model with a basic IPRs system introduced by Marchese et al. (2014). In order to analyze the effect on social welfare of different IPRs policy regimes, we must carefully study the transition dynamics associated to different values of the IPRs policy parameter. To this aim, we exploit the computational method recently developed by Privileggi (2011, 2013), based on Projection methods, Gauss-Chebyshev and Gauss-Legendre quadrature, along with standard Runge-Kutta type algorithms, to approximate such transitional dynamic paths and perform Skiba-point analysis. Our simulations show that softer IPRs policy regimes generate higher welfare levels.

Pages: 32 pages
Date: 2014-06
New Economics Papers: this item is included in nep-cmp
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.est.unito.it/do/home.pl/Download?doc=/a ... 14dip/wp_14_2014.pdf (application/pdf)

Related works:
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:uto:dipeco:201414

Access Statistics for this paper

More papers in Department of Economics and Statistics Cognetti de Martiis. Working Papers from University of Turin Contact information at EDIRC.
Bibliographic data for series maintained by Laura Ballestra () and Cinzia Carlevaris ().