Template-type: ReDIF-Paper 1.0
Author-Name:  Privileggi, Fabio
Author-Email: fabio.privileggi@unito.it
Author-Name: Marsiglio, Simone
Author-Email: simone.marsiglio@jcu.edu.au
Author-Workplace-Name: University of Turin
Author-Workplace-Homepage: http://www.est.unito.it/
Title: Dynamics and Welfare in Recombinant Growth Models with Intellectual Property Rights: a Computational Method
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.
Length: 32 pages
Creation-Date: 2014-06
File-URL: http://www.est.unito.it/do/home.pl/Download?doc=/allegati/wp2014dip/wp_14_2014.pdf
File-Format: Application/PDF
Handle: RePEc:uto:dipeco:201414