This paper presents a fast, simple and intuitive algorithm for simulation of linear dynamic stochastic general equilibrium models with inequality constraints. The algorithm handles both the computation of impulse responses, and stochastic simulation, and can deal with arbitrarily many bounded...

This paper builds a dynamic stochastic general equilibrium (DSGE) model of endogenous growth that generates large medium-frequency cycles while robustly matching the near trend-stationary path of observed output. This requires a model in which standard business cycle shocks lead to highly...

Traditional macroeconomic learning algorithms are misspecified when all agents are learning simultaneously. In this paper, we produce a number of learning algorithms that do not share this failing, and show that this enables them to learn almost any solution, for any parameters, implying...