Reconstructing Aggregate Dynamics in Heterogeneous Agents Models. A Markovian Approach

Domenico Delli Gatti, Corrado Di Guilmi, Mauro Gallegati and Simone Landini

Revue de l'OFCE, 2012, vol. N° 124, issue 5, 117-146

Abstract: The restrictive assumptions imposed by the traditional methods of aggregation prevented so far a sound analysis of complex system of feedback between microeconomic variables and macroeconomic outcomes. This issue seems to be crucial in macroeconomic modelling, in particular for the analysis of financial fragility, as conceived in the Keynesian and New Keynesian literature. In the present paper a statistical mechanics aggregation method is applied to a financial fragility model. The result is a consistent representation of the economic system that considers the heterogeneity of firms, their interactive behaviour and the feedback effects between micro, meso and macro level. In this approach, the impact of micro financial variables can be analytically assessed. The whole dynamics is described by a system of dynamic equations that well mimics the evolution of a numerically solved agent based model with the same features.

Keywords: financial fragility; Markov Dynamics; heterogeneity; mean-field interaction; master equation (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (5)

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