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Can inflation data improve the real-time reliability of output gap estimates?

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  • Christophe Planas

    (Joint Research Centre of European Commission, Ispra, Italy)

  • Alessandro Rossi

    (Joint Research Centre of European Commission, Ispra, Italy)

Abstract

Potential output plays a central role in monetary policy and short-term macroeconomic policy making. Yet, characterizing the output gap involves a trend-cycle decomposition, and unobserved component estimates are typically subject to a large uncertainty at the sample end. An important consequence is that output gap estimates can be quite inaccurate in real time, as recently highlighted by Orphanides and van Norden (2002), and this causes a serious problem for policy makers. For the cases of the US, EU-11 and two EU countries, we evaluate the benefits of using inflation data for improving the accuracy of real-time estimates. Copyright © 2004 John Wiley & Sons, Ltd.

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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 19 (2004)
Issue (Month): 1 ()
Pages: 121-133

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Handle: RePEc:jae:japmet:v:19:y:2004:i:1:p:121-133

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  1. Athanasios Orphanides & Simon van Norden, 1999. "The reliability of output gap estimates in real time," Finance and Economics Discussion Series 1999-38, Board of Governors of the Federal Reserve System (U.S.).
  2. Athanasios Orphanides & Richard D. Porter & David Reifschneider & Robert Tetlow & Frederico Finan, 1999. "Errors in the measurement of the output gap and the design of monetary policy," Finance and Economics Discussion Series 1999-45, Board of Governors of the Federal Reserve System (U.S.).
  3. Fagan, Gabriel & Henry, Jerome & Mestre, Ricardo, 2005. "An area-wide model for the euro area," Economic Modelling, Elsevier, vol. 22(1), pages 39-59, January.
  4. Burridge, Peter & Wallis, Kenneth F, 1984. "Calculating the Variance of Seasonally Adjusted Series," The Warwick Economics Research Paper Series (TWERPS) 251, University of Warwick, Department of Economics.
  5. Watson, Mark W., 1986. "Univariate detrending methods with stochastic trends," Journal of Monetary Economics, Elsevier, vol. 18(1), pages 49-75, July.
  6. Eric Swanson, 2000. "On Signal Extraction and Non-Certainty-Equivalence in Optimal Monetary Policy Rules," Econometric Society World Congress 2000 Contributed Papers 1085, Econometric Society.
  7. Mikael Apel & Per Jansson, 1999. "System estimates of potential output and the NAIRU," Empirical Economics, Springer, vol. 24(3), pages 373-388.
  8. Pierce, David A., 1980. "Data revisions with moving average seasonal adjustment procedures," Journal of Econometrics, Elsevier, vol. 14(1), pages 95-114, September.
  9. Frank Smets, 1998. "Output gap uncertainty: does it matter for the Taylor rule?," BIS Working Papers 60, Bank for International Settlements.
  10. Apel, Mikael & Jansson, Per, 1999. "A theory-consistent system approach for estimating potential output and the NAIRU," Economics Letters, Elsevier, vol. 64(3), pages 271-275, September.
  11. Gerlach, Stefan & Smets, Frank, 1999. "Output gaps and monetary policy in the EMU area1," European Economic Review, Elsevier, vol. 43(4-6), pages 801-812, April.
  12. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
  13. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
  14. Kuttner, Kenneth N, 1994. "Estimating Potential Output as a Latent Variable," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 361-68, July.
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Citations

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Cited by:
  1. Clark, Todd E. & Kozicki, Sharon, 2004. "Estimating equilibrium real interest rates in real-time," Discussion Paper Series 1: Economic Studies 2004,32, Deutsche Bundesbank, Research Centre.
  2. Muriel Nguiffo-Boyom, 2008. "A monthly indicator of Economic activity for Luxembourg," BCL working papers 31, Central Bank of Luxembourg.
  3. Harvey, Andrew C. & Trimbur, Thomas M. & Van Dijk, Herman K., 2007. "Trends and cycles in economic time series: A Bayesian approach," Journal of Econometrics, Elsevier, vol. 140(2), pages 618-649, October.
  4. Marcellino, Massimiliano & Musso, Alberto, 2011. "The reliability of real-time estimates of the euro area output gap," Economic Modelling, Elsevier, vol. 28(4), pages 1842-1856, July.
  5. Jaqueson K. Galimberti & Marcelo L. Moura, 2011. "Improving the reliability of real-time Hodrick-Prescott filtering using survey forecasts," Centre for Growth and Business Cycle Research Discussion Paper Series 159, Economics, The Univeristy of Manchester.
  6. Andrew P Blake & Fabrizio Zampolli, 2006. "Optimal monetary policy in Markov-switching models with rational expectations agents," Bank of England working papers 298, Bank of England.
  7. Andrew Harvey, 2011. "Modelling the Phillips curve with unobserved components," Applied Financial Economics, Taylor & Francis Journals, vol. 21(1-2), pages 7-17.
  8. Jens Boysen-Hogrefe, 2014. "Monetary aggregates to improve early output gap estimates in the euro area - an empirical assessment," Kiel Working Papers 1908, Kiel Institute for the World Economy.
  9. Winkelried, Diego, 2013. "Modelo de Proyección Trimestral del BCRP: Actualización y novedades," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 26, pages 9-60.
  10. Fabrizio Zampolli & Andrew Blake, 2005. "Time Consistent Policy in Markov Switching Models," Money Macro and Finance (MMF) Research Group Conference 2005 2, Money Macro and Finance Research Group.
  11. Tommaso Proietti, 2008. "Structural Time Series Models for Business Cycle Analysis," CEIS Research Paper 109, Tor Vergata University, CEIS, revised 10 Jul 2008.
  12. Marcellino, Massimiliano & Musso, Alberto, 2010. "Real time estimates of the euro area output gap: reliability and forecasting performance," Working Paper Series 1157, European Central Bank.

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