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Do Ifo Indicators Help Explain Revisions in German Industrial Production?

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Author Info
Jan Jacobs ()
Jan-Egbert Sturm ()

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Abstract

This paper studies the information content of some Ifo indicators. In particular, we investigate whether two Ifo indicators, one on the current business situation, the other on current production development, provide information on revisions of German industrial production. A new feature of our analysis is the construction and use of a real-time dataset. We conclude that the Ifo indicators play a role in explaining revisions, but counterintuitively the business situation indicator performs better than the production indicator.

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Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number CESifo Working Paper No. 1205.

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Date of creation: 2004
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Handle: RePEc:ces:ceswps:_1205

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Related research
Keywords: Ifo Business Survey indicators; German industrial production; real-time analysis; data revision;

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Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Ulrich Fritsche & Sabine Stephan, 2000. "Leading Indicators of German Business Cycles: An Assessment of Properties," Discussion Papers of DIW Berlin 207, DIW Berlin, German Institute for Economic Research. [Downloadable!]
    Other versions:
  2. Croushore, Dean & Stark, Tom, 2001. "A real-time data set for macroeconomists," Journal of Econometrics, Elsevier, vol. 105(1), pages 111-130, November. [Downloadable!] (restricted)
    Other versions:
  3. Erich Langmantel, 1999. "Das ifo Geschäftsklima als Indikator für die Prognose des Bruttoinlandsprodukts," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 52(16-17), pages 16-21, October.
  4. Egginton, Donald & Andreas Pick & Shaun P. Vahey, 2002. "Keep It Real!: A Real-time UK Macro Data Set," Royal Economic Society Annual Conference 2002 69, Royal Economic Society. [Downloadable!]
    Other versions:
  5. Schröder, Michael & Hüfner, Felix P., 2002. "Forecasting economic activity in Germany : how useful are sentiment indicators?," ZEW Discussion Papers 02-56, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research. [Downloadable!]
  6. Chris Bajada, 2001. "The Effects of Inflation and the Business Cycle on Revisions of Macroeconomic Data," Working Paper Series 110, School of Finance and Economics, University of Technology, Sydney. [Downloadable!]
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  7. Wolfgang Nierhaus & Jan-Egbert Sturm, 2003. "Methoden der Konjunkturprognose," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 56(04), pages 7-23, 03.
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Jan P.A.M. Jacobs & Sturm Jan-Egbert, 2008. "The information content of KOF indicators on Swiss current account data revisions," KOF Working papers 08-202, KOF Swiss Economic Institute, ETH Zurich. [Downloadable!]
    Other versions:
  2. Jan Jacobs & Jan-Egbert Sturm, 2007. "A real-time analysis of the Swiss trade account," Money Macro and Finance (MMF) Research Group Conference 2006 167, Money Macro and Finance Research Group. [Downloadable!]
  3. Gerberding, Christina & Worms, Andreas & Seitz, Franz, 2004. "How the Bundesbank really conducted monetary policy : An analysis based on real-time data," Discussion Paper Series 1: Economic Studies 2004,25, Deutsche Bundesbank, Research Centre. [Downloadable!]
  4. Konstantin A. Kholodilin & Boriss Siliverstovs, 2009. "Do forecasters inform or reassure? Evaluation of the German real-time data," KOF Working papers 09-215, KOF Swiss Economic Institute, ETH Zurich. [Downloadable!]
    Other versions:
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