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  Macroscopic Stochastic Model for Economic Cycle Dynamics

Nagel, S., Heitzig, J., Schöll, E. (2025): Macroscopic Stochastic Model for Economic Cycle Dynamics. - Physical Review Letters, 134, 4, 047402.
https://doi.org/10.1103/PhysRevLett.134.047402

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Nagel_2025_PhysRevLett.134.047402.pdf (Publisher version), 2MB
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Nagel_2025_PhysRevLett.134.047402.pdf
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https://doi.org/10.5281/zenodo.17101590 (Supplementary material)
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 Creators:
Nagel, Sören1, Author                 
Heitzig, Jobst1, Author                 
Schöll, Eckehard1, Author                 
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: We present a stochastic dynamic model which can explain economic cycles. We show that the macroscopic description yields a complex dynamical landscape consisting of multiple stable fixed points, each corresponding to a split of the population into a large low and a small high income group. The stochastic fluctuations induce switching between the resulting metastable states and excitation oscillations just below a deterministic bifurcation. The shocks are caused by the decisions of a few agents who have a disproportionate influence over the macroscopic state of the economy due to the unequal distribution of wealth among the population. The fluctuations have a long-term effect on the growth of economic output and lead to business cycle oscillations exhibiting coherence resonance, where the correlation time is controlled by the population size which is inversely proportional to the noise intensity.

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Language(s): eng - English
 Dates: 2025-01-292025-01-29
 Publication Status: Finally published
 Pages: 6
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1103/PhysRevLett.134.047402
MDB-ID: No MDB - stored outside PIK (see locators/paper)
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Working Group: Behavioural Game Theory and Interacting Agents
Research topic keyword: Economics
Regional keyword: Global
Model / method: Agent-based Models
OATYPE: Hybrid Open Access
 Degree: -

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Title: Physical Review Letters
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 134 (4) Sequence Number: 047402 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals391
Publisher: American Physical Society (APS)