Comparisons of various methods for solving stochastic control economic models can be done with Monte Carlo methods. These methods have been applied to simple one-state, one-control quadraticlinear tracking models; however, large outliers may occur in a substantial number of the Monte Carlo runs...

In this paper we derive, by using dynamic programming, the closed loop form of the Expected Optimal Feedback rule with time varying parameter. As such this paper extends the work of Kendrick (1981, 2002, Chapter 6) for the time varying parameter case. Furthermore, we show that the Beck and...

The DUALI/DUALPC software is a system for solving quadratic-linear opimal control models. DUALI (pronounced "dual-I") provides a graphical interface for both deterministic and stochastic models as well as solvers for deterministic models and for passive learning stochastic models. DUALPC...

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

Nonlinear dynamic optimization models are widely used in theoretical and empirical economic modeling, especially in the field of optimal growth and intertemporal macroeconomic modeling. In this paper we present a sequential quadratic programming algorithm for computing directly the steady state...