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A Note on the Role of the Natural Condition of Control in the Estimation of DSGE Models

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Abstract

This paper is written by authors from the technical and economic fields who are motivated to find a common language and views on the problem of the optimal use of information in model estimation. The center of their interest is the natural condition of control – a common assumption in Bayesian estimation in the technical sciences, and one which may be violated in economic applications. In estimating dynamic stochastic general equilibrium (DSGE) models, typically only a subset of endogenous variables is treated as measured even if additional data sets are available. The natural condition of control dictates the exploitation of all available information, which improves model adaptability and estimate efficiency. The authors illustrate their points on a basic RBC model.

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Article provided by Charles University Prague, Faculty of Social Sciences in its journal Finance a uver - Czech Journal of Economics and Finance.

Volume (Year): 61 (2011)
Issue (Month): 5 (November)
Pages: 453-466

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Handle: RePEc:fau:fauart:v:61:y:2011:i:5:p:453-466

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Keywords: natural condition of control; Bayesian estimation; DSGE model; model adaptability;

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  1. Marc P. Giannoni & Jean Boivin, 2005. "DSGE Models in a Data-Rich Environment," Computing in Economics and Finance 2005 431, Society for Computational Economics.
  2. Pablo A. Guerron, 2007. "What You Match Does Matter: The Effects of Data on DSGE Estimation," Working Paper Series 012, North Carolina State University, Department of Economics.
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