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On the predictability of GDP data revisions in the Netherlands

Author

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  • Olivier Roodenburg

Abstract

The first part of this paper is based on a study by Faust, Rogers and Wright (2004). They found someevidence of predictability of GDP revisions for the G-7 countrie s, especially for the UK, Italy and Japan. In this paper we investigate the quality of the first Dutch GDP releases by using the same technique. Our findings suggest that Dutch GDP revisions are also predictable to some extent. These results are strengthened when applying the more general state-space estimation procedure. The statespace model is used to estimate the final or unobserved data, given the preliminary or observed data.

Suggested Citation

  • Olivier Roodenburg, 2004. "On the predictability of GDP data revisions in the Netherlands," DNB Working Papers 004, Netherlands Central Bank, Research Department.
  • Handle: RePEc:dnb:dnbwpp:004
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    File URL: https://www.dnb.nl/binaries/Working%20Paper%20%204-2004_tcm46-146661.pdf
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    References listed on IDEAS

    as
    1. Kavajecz, Kenneth & Collins, Sean, 1995. "Rationality of Preliminary Money Stock Estimates," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 32-41, February.
    2. 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.
    3. 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.
    4. Robert York & Paul Atkinson, 1997. "The Reliability of Quarterly National Accounts in Seven Major Countries: A User's Perspective," OECD Economics Department Working Papers 171, OECD Publishing.
    5. Swanson, Norman R. & van Dijk, Dick, 2006. "Are Statistical Reporting Agencies Getting It Right? Data Rationality and Business Cycle Asymmetry," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 24-42, January.
    6. 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 403-419, June.
    7. 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 386-393, August.
    8. William E. Conrad & Carol Corrado, 1978. "Applications of the Kalman filter to revisions in monthly retail sales estimates," Special Studies Papers 125, Board of Governors of the Federal Reserve System (U.S.).
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Golinelli, Roberto & Parigi, Giuseppe, 2005. "Short-Run Italian GDP Forecasting and Real-Time Data," CEPR Discussion Papers 5302, C.E.P.R. Discussion Papers.
    2. Bogoev, Jane & Ramadani, Gani, 2012. "GDP Data Revisions in Macedonia – Is There Any Systematic Pattern?," MPRA Paper 70170, University Library of Munich, Germany, revised Sep 2014.

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    More about this item

    Keywords

    Preliminary data; final data; revision; GDP; state-space model; Kalman filter;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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