Public debt dynamics under ambiguity by means of iterated function systems on density functions

DOI10.3934/dcdsb.2021070zbMath1480.91141OpenAlexW3042450395MaRDI QIDQ2238314

Fabio Privileggi, Franklin Mendivil, Simone Marsiglio, Davide La Torre

Publication date: 1 November 2021

Published in: Discrete and Continuous Dynamical Systems. Series B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/dcdsb.2021070

zbMATH Keywords

dynamical systemsglobal attractorfixed point equationambiguitypublic debtgeneralized fractal transformiterated function systems on density functions

Mathematics Subject Classification ID

Macroeconomic theory (monetary models, models of taxation) (91B64) Fractals (28A80)

Cites Work

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• Self-similar measures in multi-sector endogenous growth models
• Cantor type attractors in stochastic growth models
• On Lipschitz continuity of the iterated function system in a stochastic optimal growth model
• Recent developments in modeling preferences: Uncertainty and ambiguity
• The nature of the steady state in models of optimal growth under uncertainty
• Learning about fiscal policy and the effects of policy uncertainty
• Optimal fiscal policy under learning
• Fractal steady states in stochastic optimal control models
• Differentiating ambiguity and ambiguity attitude
• Fractal attractors and singular invariant measures in two-sector growth models with random factor shares
• Environmental shocks and sustainability in a basic economy-environment model
• Risk, Ambiguity, and the Savage Axioms
• Fractal-Based Methods in Analysis
• Theory of Stochastic Optimal Economic Growth
• Fractal attractors in economic growth models with random pollution externalities
• Managing pessimistic expectations and fiscal policy
• Cantor Type Invariant Distributions in the Theory of Optimal Growth under Uncertainty
• FRACTALS AND SELF-SIMILARITY IN ECONOMICS: THE CASE OF A STOCHASTIC TWO-SECTOR GROWTH MODEL