Higher order approximations of stochastic rational expectations models
Paweł Kowal · Munich Personal RePEc Archive (Ludwig Maximilian University of Munich) · 2007
We describe algorithm to find higher order approximations of stochastic rational expectations models near the deterministic steady state. Using matrix representation of function derivatives instead of tensor representation we obtain simple expressions of matrix equations determining higher order terms.