In this paper, we perform an in - depth investigation of relative merits of two adaptive learning algorithms with constant gain, Recursive Least Squares (RLS) and Stochastic Gradient (SG), using the Phelps model of monetary policy as a testing ground. The behavior of the two learning algorithms...

The purpose of this paper is to show how to solve linear dynamic rational expectations models with anticipated shocks by using the generalized Schur decomposition method. Furthermore, we determine the optimal unrestricted and restricted policy responses to anticipated shocks. We demonstrate our...

The purpose of this paper is to solve linear dynamic rational expectations models with anticipated shocks by using the generalized Schur decomposition method. We also determine the optimal unrestricted and restricted policy responses to temporary as well as permanent shocks which both are...

This paper investigates optimal policy in the presence of anticipated (or news) shocks. We determine the optimal unrestricted and restricted policy response in a general rational expectations model and show that, if shocks are news shocks, the optimal unrestricted control rule under commitment...