2015
DOI: 10.1016/j.jedc.2014.08.003
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Tipping points in macroeconomic agent-based models

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 devised by D. Delli Gatti and collaborators. In this regard, our major finding is the generic existence of a phase transition between a… Show more

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Cited by 145 publications
(211 citation statements)
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References 40 publications
(28 reference statements)
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“…Critical breakdowns generally arise unexpectedly in complex dynamical systems [1]. Noteworthy examples are financial crises [2,3], epileptic seizures [4], and species extinctions [5]. These breakdowns are typically identified by using global-scale indicators that collapse at the critical point, such as stock market indices, neural synchronization, and species biomass.…”
Section: Introductionmentioning
confidence: 99%
“…Critical breakdowns generally arise unexpectedly in complex dynamical systems [1]. Noteworthy examples are financial crises [2,3], epileptic seizures [4], and species extinctions [5]. These breakdowns are typically identified by using global-scale indicators that collapse at the critical point, such as stock market indices, neural synchronization, and species biomass.…”
Section: Introductionmentioning
confidence: 99%
“…The intuition behind our instability in fact comes from a very similar model that we recently studied in the context of economic crisis "waves" and collective bank defaults [29,30]. In all these cases, the common phenomenon is that the instability/default/bankruptcy of a single element can trigger the instabilities of others through interactions.…”
Section: Introductionmentioning
confidence: 89%
“…The agent-based approach has been extensively used in physical, chemical, biological and social systems [24][25][26][27][28][29] to understand unexpected phenomena emerging from a group of heterogeneous and adaptive interacting agents. As a set of powerful tools in linking micro-behaviors to macro-phenomena in a class of complex adaptive systems, agent-based modeling and simulation have also been applied to the analyses of macroeconomic phenomena [10,23,[30][31][32][33][34][35][36][37][38]. Generally, we can differentiate the previous ABM studies into two categories.…”
Section: Theoretical Backgroundmentioning
confidence: 99%