Short-term economic stabilization policy is approached as a problem in optimal control. The optimal control problem is defined as a dual discrete-time tracking problem (nominal state and nominal policy trajectories are tracked) for a linear time-invariant system with a quadratic cost functional. This problem is solved analytically, and the solution is applied to a ten-equation quarterly econometric model. Optimal stabilization policies are calculated for cost functionals designed to force single variables to follow nominal paths, to impose trade-offs between the movements of different variables, and to emphasize the use of one or another policy variable. The experimental results demonstrate that this approach is valuable both as a tool for policy planning and as a method of analyzing the dynamic properties of econometric models.