Stability of Stochastic Optimal Growth Models: A New Approach

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Nishimura, Kazuo
Stachurski, John

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Academic Press

Abstract

The paper proposes an Euler equation technique for analyzing the stability of differentiable stochastic programs. The main innovation is to use marginal reward directly as a Foster-Lyapunov function. This allows us to extend known stability results for stochastic optimal growth models, both weakening hypotheses and strengthening conclusions.

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Journal of Economic Theory

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2037-12-31