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Stability of Stochastic Optimal Growth Models: A New Approach

Date

Authors

Nishimura, Kazuo
Stachurski, John

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Journal ISSN

Volume Title

Publisher

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.

Description

Citation

Source

Journal of Economic Theory

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Entity type

Access Statement

License Rights

Restricted until

2037-12-31