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Multiple filtering devices for the estimation of cyclical DSGE models

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Author Info

  • Fabio Canova
  • Filippo Ferroni

Abstract

We propose a method to estimate time in variant cyclical DSGE models using the information provided by a variety of filters. We treat data filtered with alternative procedures as contaminated proxies of the relevant model-based quantities and estimate structural and non-structural parameters jointly using a signal extraction approach. We employ simulated data to illustrate the properties of the procedure and compare our conclusions with those obtained when just one filter is used. We revisit the role of money in the transmission of monetary business cycles.

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Bibliographic Info

Article provided by Econometric Society in its journal Quantitative Economics.

Volume (Year): 2 (2011)
Issue (Month): 1 (03)
Pages: 73-98

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Handle: RePEc:ecm:quante:v:2:y:2011:i:1:p:73-98

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References

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  1. Giorgio E. Primiceri & Andrea Tambalotti & Alejandro Justiniano, 2009. "Investment Shocks and the Relative Price of Investment," 2009 Meeting Papers 686, Society for Economic Dynamics.
  2. Yongsung Chang & Taeyoung Doh & Frank Schorfheide, 2007. "Non-stationary Hours in a DSGE Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1357-1373, 09.
  3. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
  4. Cogley, Timothy, 2001. "Estimating and testing rational expectations models when the trend specification is uncertain," Journal of Economic Dynamics and Control, Elsevier, vol. 25(10), pages 1485-1525, October.
  5. Giannone, Domenico & Reichlin, Lucrezia & Sala, Luca, 2002. "VARs, Common Factors and the Empirical Validation of Equilibrium Business Cycle Models," CEPR Discussion Papers 3701, C.E.P.R. Discussion Papers.
  6. Martin Fukac & Adrian Pagan, 2008. "Limited Information Estimation and Evaluation of DSGE Models," Reserve Bank of New Zealand Discussion Paper Series DP2008/11, Reserve Bank of New Zealand.
  7. Ferroni Filippo, 2011. "Trend Agnostic One-Step Estimation of DSGE Models," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-36, July.
  8. Canova, Fabio, 1998. "Detrending and business cycle facts," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 475-512, May.
  9. Canova, Fabio, 1998. "Detrending and business cycle facts: A user's guide," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 533-540, May.
  10. Peter N. Ireland, 2001. "Money's Role in the Monetary Business Cycle," NBER Working Papers 8115, National Bureau of Economic Research, Inc.
  11. Jesús Fernández-Villaverde & Juan F Rubio-Ramírez, 2007. "How Structural Are Structural Parameters?," Levine's Bibliography 843644000000000057, UCLA Department of Economics.
  12. Gorodnichenko, Yuriy & Ng, Serena, 2010. "Estimation of DSGE models when the data are persistent," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 325-340, April.
  13. Canova, Fabio & Lopez-Salido, Jose David & Michelacci, Claudio, 2007. "The Labour Market Effects of Technology Shocks," CEPR Discussion Papers 6365, C.E.P.R. Discussion Papers.
  14. Rabanal, Pau & Rubio-Ramirez, Juan F., 2005. "Comparing New Keynesian models of the business cycle: A Bayesian approach," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1151-1166, September.
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Citations

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Cited by:
  1. Miguel Casares & Antonio Moreno & Jesús Vázquez, 2012. "Wage stickiness and unemployment fluctuations: an alternative approach," SERIEs, Spanish Economic Association, vol. 3(3), pages 395-422, September.
  2. Galo Nuño, 2011. "Optimal research and development and the cost of business cycles," Journal of Economic Growth, Springer, vol. 16(3), pages 257-283, September.
  3. Yuriy Gorodnichenko & Serena Ng, 2009. "Estimation of DSGE Models When the Data are Persistent," NBER Working Papers 15187, National Bureau of Economic Research, Inc.
  4. Bjørnar Karlsen Kivedal, 2013. "A New Keynesian Framework and Wage and Price Dynamics in the US," Working Paper Series 15113, Department of Economics, Norwegian University of Science and Technology.
  5. Fernández-Villaverde, Jesús, 2009. "The Econometrics of DSGE Models," CEPR Discussion Papers 7157, C.E.P.R. Discussion Papers.
  6. Saijo, Hikaru, 2013. "Estimating DSGE models using seasonally adjusted and unadjusted data," Journal of Econometrics, Elsevier, vol. 173(1), pages 22-35.
  7. Zanetti, Francesco, 2012. "Banking and the role of money in the business cycle," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 87-94.
  8. Luca Sala, 2013. "DSGE models in the frequency domain," Working Papers 504, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  9. Gelain, Paolo, 2010. "The external finance premium in the euro area A useful indicator for monetary policy?," Working Paper Series 1171, European Central Bank.
  10. Klaus Abberger & Wolfgang Nierhaus, 2011. "Construction of Composite Business Cycle Indicators in a Sparse Data Environment," CESifo Working Paper Series 3557, CESifo Group Munich.
  11. Filippo Ferroni, 2010. "Commentary on MEDEA: A DSGE model for the Spanish economy," SERIEs, Spanish Economic Association, vol. 1(1), pages 245-249, March.
  12. Michal Andrle & Roberto Garcia-Saltos & Giang Ho, 2013. "The Role of Domestic and External Shocks in Poland: Results from an Agnostic Estimation Procedure," IMF Working Papers 13/220, International Monetary Fund.
  13. Jan Brùha, 2011. "An Empirical Small Labor Market Model for the Czech Economy," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(5), pages 434-449, November.
  14. Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Extended Phillips Curve Models with non-filtered Data," Koç University-TUSIAD Economic Research Forum Working Papers 1321, Koc University-TUSIAD Economic Research Forum.

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