Robust preference expansions

We propose an approximation method for solving dynamic stochastic general equilibrium models in which agents are concerned about model misspecification. The method relies on a perturbation that treats this robust concern as a first-order concept that is preserved as the volatility of the shocks vanishes. The approximation has a clear economic interpretation and generates solutions with consequences of robust preferences that standard perturbation methods only capture using higher-order terms.