Dynamic Programming and Stochastic Control
Dynamic Programming and Stochastic Control
Filtering of Nonlinear Stochastic Feedback Systems
SIAM Journal on Control and Optimization
Solving Linear Rational Expectations Models
Computational Economics
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For a well-identified class of forward-looking models under rational expectations and time-varying parameters, it is shown that there exists always a solution having the property of being the closest, in mean square, to the state motion of the autoregressive dynamic equation governing the "ideal" behavior of the economic system. A recursive algorithm--based upon Kalman filtering--providing the exact expression for the conditional expectations (hence, the solution) and the optimal filtering estimate, is also presented.