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Parameter Drifting in a DSGE Model Estimated on Czech Data

In this article, the authors investigate the possible time-varying structure of DSGE models. They follow the study of Andrle et al. (2009), which argues that models designed for monetary policy analysis and forecasting of an economy that is undergoing structural changes must include exogenous processes (technologies) capturing the specific characteristics of individual sectors. The authors conclude that the presence of structural changes and the convergence process in the data imply drifting of structural parameters in the model without technologies. Incorporating technologies causes the structural parameters to be relatively stable. From the perspective of monetary policy analysis and forecasting, it seems more convenient to assume that the structural parameters are stable and use sectoral technologies owing to their aggregate form.

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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: 510-524

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Handle: RePEc:fau:fauart:v:61:y:2011:i:5:p:510-524
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  1. Michal Andrle & Tibor Hledik & Ondra Kamenik & Jan Vlcek, 2009. "Implementing the New Structural Model of the Czech National Bank," Working Papers 2009/2, Czech National Bank, Research Department.
  2. Pablo Burriel & Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2009. "MEDEA: A DSGE Model for the Spanish Economy," Working Papers 2009-17, FEDEA.
  3. Christopher J. Erceg & Dale W. Henderson & Andrew T. Levin, 1999. "Optimal monetary policy with staggered wage and price contracts," International Finance Discussion Papers 640, Board of Governors of the Federal Reserve System (U.S.).
  4. Roberto Perotti, 2007. "In Search of the Transmission Mechanism of Fiscal Policy," NBER Working Papers 13143, National Bureau of Economic Research, Inc.
  5. Bruha, Jan & Podpiera, Jirí, 2011. "The dynamics of economic convergence: The role of alternative investment decisions," Journal of Economic Dynamics and Control, Elsevier, vol. 35(7), pages 1032-1044, July.
  6. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2007. "How Structural Are Structural Parameters?," NBER Working Papers 13166, National Bureau of Economic Research, Inc.
  7. Stephanie Schmitt-Grohe & Martin Uribe, 2002. "Closing Small Open Economy Models," NBER Working Papers 9270, National Bureau of Economic Research, Inc.
  8. Tovar, Camilo Ernesto, 2008. "DSGE Models and Central Banks," Economics Discussion Papers 2008-30, Kiel Institute for the World Economy.
  9. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
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