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Random Fixed Points in a Stochastic Solow Growth Model Author info | Abstract | Publisher info | Download info | Related research | Statistics Klaus Reiner Schenk-Hoppé
Björn Schmalfuss
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This paper presents a complete analysis of a stochastic version of the Solow growth model in which all parameters are ergodic random variables. Applying random dynamical systems theory, we prove that the dynamics and, in particular, the long-run behavior is uniquely determined by a globally attracting stable random fixed point. We also discuss the relation of our approach to that of ergodic Markov equilibria.
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Paper provided by Institute for Empirical Research in Economics - IEW in its series IEW - Working Papers with number
iewwp065.
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Keywords: Solow growth model ; random dynamical systems ; random fixed points ; ergodic Markov equilibria ; Other versions of this item:
Find related papers by JEL classification: C62 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Existence and Stability Conditions of Equilibrium E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical O41 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
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