Zhang, Yuzhe (2007): Stochastic optimal growth with a non-compact state space. Published in: Journal of Mathematical Economics , Vol. 43, No. 2 (February 2007): pp. 115-129.
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Abstract
This paper studies the stability of a stochastic optimal growth economy introduced by Brock and Mirman [Brock,W.A., Mirman, L., 1972. Optimal economic growth and uncertainty: the discounted case. Journal of Economic Theory 4, 479–513] by utilizing stochastic monotonicity in a dynamic system. The construction of two boundary distributions leads to a new method of studying systems with non-compact state space. The paper shows the existence of a unique invariant distribution. It also shows the equivalence between the stability and the uniqueness of the invariant distribution in this dynamic system.
Item Type: | MPRA Paper |
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Original Title: | Stochastic optimal growth with a non-compact state space |
Language: | English |
Keywords: | Stochastic growth; Stochastic dominance; Monotonic operator; Global stability |
Subjects: | O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O41 - One, Two, and Multisector Growth Models C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C62 - Existence and Stability Conditions of Equilibrium |
Item ID: | 23107 |
Depositing User: | Yuzhe Zhang |
Date Deposited: | 13 Jun 2010 15:58 |
Last Modified: | 28 Sep 2019 04:56 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/23107 |