In this paper, we present a method for using rational expectations in a stochastic linear-quadratic optimization framework in which the unknown parameters are updated through a learning scheme. We use the QZ decomposition as suggested by Sims (1996) to solve the rational-expectations part of the...

Two lines of literature show that increased uncertainty results in decreased vigor of the control variable in the first time period. The first line uses static models, the second dynamic. Here, the dynamic line is extended from one-state, one-control models to ones with two control variables. We...