Existence, Optimality and Dynamics of Equilibria with Endogenous Time Preference - HAL Accéder directement au contenu
Article dans une revue Journal of Mathematical Economics Année : 2011

Existence, Optimality and Dynamics of Equilibria with Endogenous Time Preference

Résumé

To account for the development patterns that differ considerably among economies in the long run, a variety of one-sector models that incorporate some degree of market imperfections based on technological external effects and increasing returns have been presented. This paper studies the dynamic implications of, yet another mechanism, the endogenous rate of time preference depending on the stock of capital, in a one-sector growth model. The planner's problem is presented and the optimal paths are characterized. We show that development or poverty traps can arise even under a strictly convex technology. We also show that even under a convex-concave technology, the optimal path can exhibit global convergence to a unique stationary point. The multipliers system associated with an optimal path is proven to be the supporting price system of a competitive equilibrium under externality and detailed results concerning the properties of optimal (equilibrium) paths are provided. We show that the model exhibits globally monotone capital sequences yielding a richer set of potential dynamics than the classic model with exogenous discounting.
Fichier principal
Vignette du fichier
betaKAugust10.pdf ( 319.14 Ko ) Télécharger
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

halshs-00639731, version 1 (09-11-2011)

Identifiants

  • HAL Id : halshs-00639731 , version 1

Citer

Cuong Le Van, Cagri Saglam, Selman Erol. Existence, Optimality and Dynamics of Equilibria with Endogenous Time Preference. Journal of Mathematical Economics, 2011, 47 (2), pp.170-179. ⟨halshs-00639731⟩
197 Consultations
325 Téléchargements
Dernière date de mise à jour le 20/04/2024
comment ces indicateurs sont-ils produits

Partager

Gmail Facebook Twitter LinkedIn Plus