Recursive Thick Modeling and the Choice of Monetary Policy in Mexico
AbstractThe choice of monetary policy is the most important concern of central banks. However, this choice is always confronted, inter alia, with two relevant aspects of economic policy: parameter instability and model uncertainty. This paper deals with both types of uncertainty using a very specific class of models in an optimal control framework. For optimal policy rates series featuring the first two moments similar to those of the actual nominal interest rates in Mexico, we show that recursive thick modeling gives a better approximation than recursive thin modeling. We complement previous work by evaluating the usefulness of both recursive thick modeling and recursive thin modeling in terms of direction-of-change forecastability.
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Bibliographic InfoPaper provided by Banco de México in its series Working Papers with number 2007-04.
Date of creation: Mar 2007
Date of revision:
Macroeconomic policy; Model uncertainty; Optimal control; Monetary policy; Inflation targeting;
Find related papers by JEL classification:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-06-30 (All new papers)
- NEP-CBA-2007-06-30 (Central Banking)
- NEP-MAC-2007-06-30 (Macroeconomics)
- NEP-MON-2007-06-30 (Monetary Economics)
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