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Browsing Max Weber Programme (MWP) by Author "GIORDANI, Paolo"
Now showing items 1-5 of 5
Title:The Importance of Industrial Policy in Quality-Ladder Growth Models
Author(s):GIORDANI, Paolo; ZAMPARELLI, LucaDate:2008Type of Publication:ArticleAbstract:We extend the class of quality-ladder growth models (Grossman and Helpman, 1991, Segerstrom, 1998 and others), to encompass an economy with asymmetric fundamentals. In contrast to the standard framework, in our model ...
Title:The Refoundation of Symmetric Equilibrium in Schumpeterian Growth Models
Author(s):COZZI, Guido; GIORDANI, Paolo; ZAMPARELLI, LucaDate:2007Type of Publication:ArticleAbstract: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 ...
Title:Decision Makers Facing Uncertainty: Theory versus Evidence
Author(s):GIORDANI, Paolo; SCHLAG, Karl H.; ZWART, SanneDate:2007Type of Publication:Working PaperSeries/Report no.:EUI MWPAbstract:We consider three competing normative theories of how to make choices when facing
uncertainty: subjective expected utility, maximin utility and minimax regret. In simple
decision problems, we compare how decision makers ...
Title:The Refoundation of the Symmetric Equilibrium in Schumpeterian Growth Models
Author(s):COZZI, Guido; GIORDANI, Paolo; ZAMPARELLI, LucaDate:2007Type of Publication:ArticleAbstract: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 ...
Title:Do Sunspots Matter under Complete Ignorance?
Author(s):GIORDANI, Paolo; COZZI, GuidoDate:2006Type of Publication:ArticleAbstract:In a two-period, sunspot, pure-exchange economy we analyse the case in which agents do not assign subjective probabilistic beliefs to the ‘sunspot activity’. Two generations, each of which is made up of identical agents, ...