Recently there has been a growing interest in finding alternative microfoundations for aggregate behavior. The standard use of representative agent models as a basis for macroeconomics has been increasingly criticized. Despite the fact that it provides a vehicle for elegant technical analysis and uses a widely accepted model of individual behavior, it is not theoretically justified nor does it stand up to tests on empirical data. Therefore, the need to go beyond the representative agent model has generated a considerable literature. Efforts are being made to create models that are both mathematically tractable and empirically satisfactory. In such models, the link between individual and aggregate behavior is much more complicated than is traditionally the case in macroeconomic theory. But, it is precisely this that makes such models interesting and important.

The Workshop on Economics and Heterogeneous Interacting Agents offers an opportunity to present the latest research on various aspects of the economy as a complex system made up of multiple heterogeneous interacting agents. Research from various domains – networks, complexity, statistical mechanics, thermodynamics, learning, the theory of self-organizing systems can all be helpful in developing more satisfactory approaches to (macro)econometrics and (macro)economic theory.


Workshop topics will cover research in all areas related to models of interacting agents. These include:


Agent Based Models
Emergent Macroeconomics
Experimental Economics
Aggregation of Heterogeneous agents
Financial Fragility Models
DSGE Models with Heterogeneous Agents
Bounded Rationality
Interacting Particle Systems and Economics
Percolation Theory and Economics
Learning in Economics
Evolutionary Game Theory
Computational Methods in Economics and Finance
Market Structure and its Emergence
Spatial agent models and Urban complex adaptive system
Development economics, Technological  change and growth
Economic Networks (e.g., supply, credit and innovation networks)


Papers presenting analysis of empirical data are particularly welcome.