In this paper we consider optimization problems defined by a quadraticobjective function and a finite number of quadratic inequality constraints.Given that the objective function is bounded over the feasible set, we presenta comprehensive study of the conditions under which the optimal solution...

In this paper we present a method for using rational expectations in a linear-quadratic optimizationframework. Following the approach put forward by Sims, we solve the model through a QZdecomposition, which is generally easier to implement than the more widely used method of Blanchardand Kahn.

Progress is traditionally measured by the improvement of an economy's average characteristics from year to year. Some deeper insight might be gained by splitting the averages into explicit parameters for the new and old technologies at work within the same year, and recognising that innovative...