This paper discusses the concept of path dependence in macrodynamics, and identifies practical difficulties associated with building path-dependent macrodynamic models of the sort that Keynesians and Schumpeterians regard as necessary for the successful study of long-term growth and development....

We build an agent-based model to study how _scal multipliers can change over the business cycle. Our approach considers the economy as a complex evolving system. In that, _scal state-dependent multipliers are emergent disequilibrium phenomenon stemming from the interaction among an ecology of...

We build an agent-based model to study how the interplay between low- and high- frequency trading affects asset price dynamics. Our main goal is to investigate whether high-frequency trading exacerbates market volatility and generates ash crashes. In the model, low-frequency agents adopt trading...

This paper empirically assesses heterogeneous expectations in asset pricing. We use a maximum likelihood approach on S&P500 data to estimate a structural model. Our empirical results are consistent with a market populated with fundamentalists and chartists. In addition, agents switch between...

The paper demonstrates some limitations of traditional spatial models in the representation of spatial dynamics of the modern economy. We substantiate the necessity of agent-based approach to spatial economic modeling. The pilot version of an agent-based multiregional input-output model for...

Extensive exploration of simulation models comes at a high computational cost, all the more when the model involves a lot of parameters. Economists usually rely on random explorations, such as Monte Carlo simulations, and basic econometric modeling to approximate the properties of computational...