Linear Quadratic Optimization for Models with Rational Expectations

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Abstract
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 Blanchard-Kahn method. (This abstract was borrowed from another version of this item.)
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