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Stochastic stability of endogenous growth: Theory and applications
Boucekkine, Raouf; Pintus, Patrick; ZOU, Benteng
2015
 

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Mots-clés :
stochastic growth; Global diversification; stochastic stability
Résumé :
[en] We examine the issue of stability of stochastic endogenous growth. First, stochastic stability concepts are introduced and applied to stochastic linear homogenous differen- tial equations to which several stochastic endogenous growth models reduce. Second, we apply the mathematical theory to two models, starting with the stochastic AK model. It’s shown that in this case exponential balanced paths, which characterize optimal trajectories in the absence of uncertainty, are not robust to uncertainty: the economy may almost surely collapse at exponential speed even though productivity is initially arbitrarily high. Finally, we revisit the seminal global diversification endogenous growth model (Obstfeld, 1994): taking into account stochastic stability calls for a redefinition of the mean growth concept, which leads to revisit the established wisdom on the growth effect of global diversification.
Disciplines :
Macroéconomie & économie monétaire
Auteur, co-auteur :
Boucekkine, Raouf
Pintus, Patrick
ZOU, Benteng  ;  University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Center for Research in Economic Analysis (CREA)
Langue du document :
Anglais
Titre :
Stochastic stability of endogenous growth: Theory and applications
Date de publication/diffusion :
2015
Disponible sur ORBilu :
depuis le 17 décembre 2015

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