Note on the role of natural condition of control in the estimation of DSGE models
This paper is written by authors from technical and economic fields, motivated to find a common language and views on the problem of the optimal use of information in model estimation. The center of our interest is the natural condition of control -- a common assumption in the Bayesian estimation in technical sciences, which may be violated in economic applications. In estimating dynamic stochatic general equilibrium (DSGE) models, typically only a subset of endogenous variables are 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 estimates efficiency. We illustrate our points on a basic RBC model.
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- 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.
- Pablo A. Guerron-Quintana, 2010. "What you match does matter: the effects of data on DSGE estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 774-804.
- Frank Schorfheide & Keith Sill & Maxym Kryshko, 2008.
"DSGE model-based forecasting of non-modelled variables,"
08-17, Federal Reserve Bank of Philadelphia.
- Schorfheide, Frank & Sill, Keith & Kryshko, Maxym, 2010. "DSGE model-based forecasting of non-modelled variables," International Journal of Forecasting, Elsevier, vol. 26(2), pages 348-373, April.
- Frank Schorfheide & Keith Sill & Maxym Kryshko, 2009. "DSGE Model-Based Forecasting of Non-modelled Variables," NBER Working Papers 14872, National Bureau of Economic Research, Inc.
- Jean Boivin & Marc Giannoni, 2006.
"DSGE Models in a Data-Rich Environment,"
NBER Working Papers
12772, National Bureau of Economic Research, Inc.
- Marc P. Giannoni & Jean Boivin, 2005. "DSGE Models in a Data-Rich Environment," Computing in Economics and Finance 2005 431, Society for Computational Economics.
- Jean Boivin & Marc Giannoni, 2006. "DSGE Models in a Data-Rich Environment," NBER Technical Working Papers 0332, National Bureau of Economic Research, Inc.
- Boivin, J. & Giannoni, M., 2007. "DSGE Models in a Data-Rich Environment," Working papers 162, Banque de France.
- King, Robert G. & Plosser, Charles I. & Rebelo, Sergio T., 1988. "Production, growth and business cycles : I. The basic neoclassical model," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 195-232.
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