The Timing of Uncertainty and the Intensity of Policy
Computational Economics
Parameter Uncertainty and Policy Intensity: Some Extensions and Suggestions for Further Work
Computational Economics
A Classification System for Economic Stochastic Control Models
Computational Economics
Stochastic Ceteris Paribus Simulations
Computational Economics
Optimal Policy Response with Control Parameter and Intercept Covariance
Computational Economics
Solving the Beck and Wieland model with optimal experimentation in DualPC
Automatica (Journal of IFAC)
Optimal control of nonlinear dynamic econometric models: An algorithm and an application
Computational Statistics & Data Analysis
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Many macroeconomic policy exercises consider the mean values of parameterestimates but do not use the variances and covariances. One can argue that theuncertainty of these parameter estimates is sufficiently small that it cansafely be ignored. Or one can take the position that this kind of uncertaintycannot be avoided no matter what one does. Thus it is just as well to ignoreit while making policy decisions.In this paper we address both of these positions in the presence of learningand find that they are unconvincing. To the contrary, we find evidence thatthe potential damage from ignoring the variances and covariances of theparameter estimates is substantial and that taking them into account canimprove matters.