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This lecture is all about the challenge to include heterodox approaches into macroeconomics. After giving an overview of recent approaches to that problem Professor Michael Roos presents the theoretical framework of Complexity Economics as a means to combine behavioral aspects with macroeconomics.
This article considers the strengths of agent-based modelling and the ways that it can be used to help central banks understand the economy. These models provide a complement to more traditional economic modelling which has been criticised in the wake of the Great Recession.
The usual background and distinctions between complexity and neoclassical economics are presented Neoclassical economics deals with perfectly rational representative agents this creates states of equilibrium On the other hand complexity economics relaxes these assumptions to deal with responsive agents in an uncertain dynamic environment this creates states of disequilibrium More …
Complexity economics and institutional economics are complementary approaches to studying the economy. They can pool their methods and foundational theories to explain the mechanisms that underlie economies.
The economic crisis is also a crisis for economic theory. Most analyses of the evolution of the crisis invoke three themes, contagion, networks and trust, yet none of these play a major role in standard macroeconomic models. What is needed is a theory in which these aspects are central.
When Santa Fe Institute Scientists first started working on economics more than thirty years ago, many of their insights, approaches, and tools were considered beyond heterodox. These once-disparaged approaches included network economics, agents of limited rationality, and institutional evolution—all topics that are now increasingly considered mainstream.
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