This paper presents a framework for understanding the limits that exist in optimal policy design in dynamic contexts. We consider the design of policies in the context of dynamic linear models. Fundamental design limits exist for policy rules in such environments in the sense that any policy rule embodies tradeoffs between the magnitudes of different frequency-specific components of the variance. Hence policies that are effective in eliminating low frequency variance components of a state variable can only do so at the cost of exacerbating high frequency variance components, and vice versa. Examples of the implications of such tradeoffs are considered.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
10495.
Length: Date of creation: May 2004 Date of revision: Handle: RePEc:nbr:nberwo:10495
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Find related papers by JEL classification: C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
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Alexei Onatski & Noah Williams, 2003.
"Modeling Model Uncertainty,"
NBER Working Papers
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