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A real-time analysis of the Swiss trade account

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  • Jan Jacobs

    ()
    (Faculty of Economics University of Groningen)

  • Jan-Egbert Sturm

    (KOF, ETH Zurich, Switzerland and CESifo, Munich, Germany)

Abstract

First estimates of trade account statistics attract quite some attention in the media as they contain substantial information on recent economic developments. It is well known, however, that subsequent revisions of in particular this series can sometimes have substantial consequences for ex post evaluations of the economy. As a small open economy, Swiss overall growth as measured by its GDP is particularly prone for these revisions. This paper sets up a real-time dataset which is then used to analyze to what extent the first release of current account data (as compared to its revision) contains a structural bias and/or can be improved upon by the use of survey results as gathered by KOF at the ETH Zurich. If this is the case, this would allow for improvements in its future first release and thereby enhance the current assessment of the Swiss economy

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File URL: http://repec.org/mmf2006/up.10144.1159525837.pdf
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Bibliographic Info

Paper provided by Money Macro and Finance Research Group in its series Money Macro and Finance (MMF) Research Group Conference 2006 with number 167.

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Date of creation: 02 Feb 2007
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Handle: RePEc:mmf:mmfc06:167

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Web page: http://www.essex.ac.uk/afm/mmf/index.html

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Keywords: current account statistics; real-time analysis; data revision;

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References

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  1. Bouwman, Kees E. & Jacobs, Jan P.A.M., 2011. "Forecasting with real-time macroeconomic data: The ragged-edge problem and revisions," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 784-792.
  2. Howrey, E Philip, 1984. "Data Revision, Reconstruction, and Prediction: An Application to Inventory Investment," The Review of Economics and Statistics, MIT Press, vol. 66(3), pages 386-93, August.
  3. Aruoba, Boragan, 2005. "Data Revisions Are Not Well-Behaved," CEPR Discussion Papers 5271, C.E.P.R. Discussion Papers.
  4. N. Kundan Kishor & Evan F. Koenig, 2005. "VAR estimation and forecasting when data are subject to revision," Working Papers 0501, Federal Reserve Bank of Dallas.
  5. Jan Jacobs & Jan-Egbert Sturm, 2004. "Do Ifo Indicators Help Explain Revisions in German Industrial Production?," CESifo Working Paper Series 1205, CESifo Group Munich.
  6. Shaun Vahey & Tony Garratt, 2005. "UK Real-time Macro Data Characteristics," Computing in Economics and Finance 2005 253, Society for Computational Economics.
  7. N. Gregory Mankiw & Matthew D. Shapiro, 1986. "News or Noise? An Analysis of GNP Revisions," NBER Working Papers 1939, National Bureau of Economic Research, Inc.
  8. Howrey, E Philip, 1978. "The Use of Preliminary Data in Econometric Forecasting," The Review of Economics and Statistics, MIT Press, vol. 60(2), pages 193-200, May.
  9. Faust, Jon & Rogers, John H & Wright, Jonathan H, 2005. "News and Noise in G-7 GDP Announcements," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 403-19, June.
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Cited by:
  1. Alastair Cunningham & Jana Eklund & Chris Jeffery & George Kapetanios & Vincent Labhard, 2009. "A State Space Approach to Extracting the Signal From Uncertain Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 173-180, March.

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