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Predictability of Euro Area Revisions

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  • Katharina Glass

    (Universität Hamburg (University of Hamburg))

Abstract

This study investigates the predictability of revisions to Euro- area major macroeconomic variables using real-time data from the European Central Bank. The application of nonparametric and semiparametric tests enables robust conclusions about the predictability of revisions. Though there is wide evidence of the nonnormality of the distribution function of revision errors, this is the first application of the nonparametric approach to examine revisions. Moreover, to gain robustness, this study performs tests for parameter instability, and includes structural breaks explicitly in the predictability evaluation. The results underline the predictability of Euro area key macroeconomic revisions. Revisions are inefficient and biased, and revision errors are not optimal forecast errors.

Suggested Citation

  • Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
  • Handle: RePEc:hep:macppr:201801
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    File URL: http://www.wiso.uni-hamburg.de/repec/hepdoc/macppr_1_2018.pdf
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    1. Roland Döhrn, 2023. "Are German National Accounts informationally efficient?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 23-42, March.

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    More about this item

    Keywords

    revision; revision errors; predictability; real-time data; Euro area; unbiasedness; efficiency; news; noise;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

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