Tipping points in macroeconomic Agent-Based models
Stanislao Gualdi, Marco Tarzia, Francesco Zamponi, Jean-Philippe, Bouchaud

TL;DR
This paper investigates phase transitions in macroeconomic Agent-Based Models, revealing how small parameter changes can cause sudden shifts between stable economic states, with implications for understanding economic crises.
Contribution
It introduces a physics-inspired methodology to characterize macroeconomic ABMs through phase diagrams, demonstrating the robustness of tipping points and analyzing effects of various extensions.
Findings
Existence of a phase transition between good and bad economies.
Robustness of the transition against model modifications.
Identification of crises and inflation/deflation dynamics near tipping points.
Abstract
The aim of this work is to explore the possible types of phenomena that simple macroeconomic Agent-Based models (ABM) can reproduce. We propose a methodology, inspired by statistical physics, that characterizes a model through its 'phase diagram' in the space of parameters. Our first motivation is to understand the large macro-economic fluctuations observed in the 'Mark I' ABM. Our major finding is the generic existence of a phase transition between a 'good economy' where unemployment is low, and a 'bad economy' where unemployment is high. We introduce a simpler framework that allows us to show that this transition is robust against many modifications of the model, and is generically induced by an asymmetry between the rate of hiring and the rate of firing of the firms. The unemployment level remains small until a tipping point, beyond which the economy suddenly collapses. If the…
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