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May's instability in large economies.
José Moran1, Jean-Philippe Bouchaud2
1Centre d'Analyse et de Mathématique Sociales, EHESS, 54 Boulevard Raspail, 75006 Paris, France.
Large economies may become unstable due to evolutionary and behavioral forces pushing them toward marginal stability. This can lead to systemic crises from small shocks, explaining the "small shocks, large business cycles" phenomenon.
Area of Science:
- Complexity Economics
- Network Theory
- Ecosystem Dynamics
Background:
- Economic systems, like large ecosystems, may face inherent stability challenges as they grow.
- Previous work by Robert May suggested ecological systems tend towards marginal stability.
- Real-world supply chains often feature firms with non-substitutable production inputs.
Purpose of the Study:
- To investigate whether large economic networks tend towards marginal stability.
- To explore the impact of network size, firm heterogeneity, and input substitutability on economic stability.
- To explain the 'small shocks, large business cycles' puzzle.
Main Methods:
- Modeling firm networks with non-substitutable production inputs.
- Applying results from random matrix theory to analyze network dynamics.
- Analyzing the distribution of firm sizes and output losses under stress.
Main Results:
- Economic networks become dysfunctional with increased size, high firm heterogeneity, or reduced input substitutability.
- At marginal stability and high heterogeneity, firm size distributions exhibit empirical power-law tails.
- Small, idiosyncratic shocks can trigger cascading defaults ('avalanches') with power-law distributed losses.
Conclusions:
- Evolutionary and behavioral forces may drive large economies to a state of marginal stability.
- This marginal stability, coupled with heterogeneity, creates vulnerability to small shocks, leading to large-scale crises.
- The model provides a theoretical explanation for the observed 'small shocks, large business cycles' phenomenon.
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