The nature of the steady state in models of optimal growth under uncertainty

DOI10.1007/S00199-002-0340-5zbMath1175.91107OpenAlexW1975436460MaRDI QIDQ1422236

Tapan Mitra, Luigi Montrucchio, Fabio Privileggi

Publication date: 5 February 2004

Published in: Economic Theory (Search for Journal in Brave)

Full work available at URL: https://cae.economics.cornell.edu/nsmgim2.pdf

zbMATH Keywords

Iterated Function SystemSingular and absolutely continuous invariant distributionStochastic optimal growth

Mathematics Subject Classification ID

Stochastic models in economics (91B70) Economic growth models (91B62)

Related Items (11)

Cantor Type Invariant Distributions in the Theory of Optimal Growth under Uncertainty ⋮ Fractal attractors in economic growth models with random pollution externalities ⋮ Fractal attractors and singular invariant measures in two-sector growth models with random factor shares ⋮ Three dimensional fractal attractors in a green transition economic growth model ⋮ A stochastic economic growth model with health capital and state-dependent probabilities ⋮ Cantor type attractors in stochastic growth models ⋮ Public debt dynamics under ambiguity by means of iterated function systems on density functions ⋮ Stochastic optimal growth with bounded or unbounded utility and with bounded or unbounded shocks ⋮ Self-similar measures in multi-sector endogenous growth models ⋮ Stochastic growth with short-run prediction of shocks ⋮ On Lipschitz continuity of the iterated function system in a stochastic optimal growth model

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