We consider an environment in which traders with finite memory update their forecast rules at random intervals by OLS. In this context, overparameterization of the forecast rules can destabilize the learning dynamics. This instability tends to be attenuated by greater memory and less frequent...

This paper explores the relationship between product innovation and consumption inequality. We employ a modified version of the agent-based macroeconomic model in Georges (2011, 2015). A rise in rents accruing to salaried workers can shift both production and R&D spending toward products...

We consider the effect of adaptive model selection and regularization by agents on price volatility and market stability in a simple agent-based model of a financial market. The agents base their trading behavior on forecasts of future returns, which they update adaptively and asynchronously...