Deleveraging crises and deep recessions: a behavioural approach
Pascal Seppecher and
Isabelle Salle
Post-Print from HAL
Abstract:
Macroeconomic dynamics are characterized by alternating patterns of periods of relative stability and large swings. Standard micro-founded macro-economic models account for these patterns through exogenous and persistent shocks. In this paper, we develop a fully decentralized and micro-founded macro-economic agent-based model, augmented with an opinion model, which produces endogenous waves of pessimism and optimism that feed back into firms' leverage and households' precautionary saving behaviour. A major emergent property of our model is precisely the complex successions of stable and unstable macro-economic regimes. The model is further able to account for a wide spectrum of macro-and micro empirical regularities. Within this framework, we analyse a series of macro-economic phenomena of key relevance in the current macro-economic debate, especially the occurrence of deleveraging crises and Fisherian debt-deflation recessions. Our analysis suggests that the relative dynamics of prices and wages and the resulting income distribution along a deflation-ary path are critical determinants of the severity of the recession, and the chances of recovery.
Keywords: Agent-based modelling; Deleveraging crisis; Opinion dynamics; Prices-wages dynamics (search for similar items in EconPapers)
Date: 2014-04-10
Note: View the original document on HAL open archive server: https://hal.science/hal-01110642v2
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Citations: View citations in EconPapers (9)
Published in 3rd International Symposium in Computational Economics and Finance (ISCEF), Apr 2014, Paris, France
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Related works:
Journal Article: Deleveraging crises and deep recessions: a behavioural approach (2015) 
Working Paper: Deleveraging crises and deep recessions: a behavioural approach (2015)
Working Paper: Deleveraging crises and deep recessions: a behavioural approach (2014) 
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01110642
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