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One of the major problems of macroeconomic theory is the way in which the people exchange goods in decentralized market economies. There are major disagreements among macroeconomists regarding tools to influence required outcomes. Since the mainstream efficient market theory fails to provide an internal coherent framework, there is a need for an alternative theory. The book provides an innovative approach for the analysis of agent based models, populated by the heterogeneous and interacting agents in the field of financial fragility. The text is divided in two parts; the first presents…mehr

Produktbeschreibung
One of the major problems of macroeconomic theory is the way in which the people exchange goods in decentralized market economies. There are major disagreements among macroeconomists regarding tools to influence required outcomes. Since the mainstream efficient market theory fails to provide an internal coherent framework, there is a need for an alternative theory. The book provides an innovative approach for the analysis of agent based models, populated by the heterogeneous and interacting agents in the field of financial fragility. The text is divided in two parts; the first presents analytical developments of stochastic aggregation and macro-dynamics inference methods. The second part introduces macroeconomic models of financial fragility for complex systems populated by heterogeneous and interacting agents. The concepts of financial fragility and macroeconomic dynamics are explained in detail in separate chapters. The statistical physics approach is applied to explain theories of macroeconomic modelling and inference.

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Autorenporträt
Corrado Di Guilmi earned his Ph.D. in Economics from Università Politecnica delle Marche, Ancona, Italy in 2008. He is currently working as Senior Lecturer in the Economics Discipline Group of the University of Technology, Sydney. He is associate editor of the Review of Keynesian Economics and of Complexity Economics. He was visiting fellow at the Department of Economics of the University of Cambridge, the Department of Applied Mathematics of the Australia National University, the New School for Social Research in New York. His research interests include business cycle, agent-based modelling, nonlinear modelling applications in economics of complex system theory and Post-Keynesian economics.