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Note on the role of natural condition of control in the estimation of DSGE models

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  • Martin Fukac
  • Vladimir Havlena

Abstract

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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Paper provided by Federal Reserve Bank of Kansas City in its series Research Working Paper with number RWP 11-03.

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Date of creation: 2011
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Handle: RePEc:fip:fedkrw:rwp11-03

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  1. 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.
  2. 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.
  3. Boivin, J. & Giannoni, M., 2007. "DSGE Models in a Data-Rich Environment," Working papers 162, Banque de France.
  4. 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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