Computing the steady state of linear quadratic optimization models with rational expectations

In this paper we present a simple algorithm for computing the steady state of the Linear–Quadratic control model with rational expectations. The method uses Simsʹ approach for solving rational expectations models first, and then solves the steady state through an iterative scheme