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  1. Egy unortodox jegybanki adatrevízió háttere, utóélete és tanulságai
    = The background, aftermath and lessons of a peculiar data revision
    Autor*in: Gábor, Oblath
    Erschienen: 2017. június
    Verlag:  Magyar Tudományos Akadémia Közgazdaság- és Regionális Tudományi Kutatóközpont Közgazdaság-tudományi Intézet, Budapest

    In December 2016 the National Bank of Hungary (NBH), by referring to its "backcasts" (based on analyses of past data-revisions), arbitrarily revised upwards the data of the Hungarian Statistical Office (HSO) on GDP-growth for the first three quarters... mehr

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 151 (2017,17)
    Fernleihe:
    keine Fernleihe

     

    In December 2016 the National Bank of Hungary (NBH), by referring to its "backcasts" (based on analyses of past data-revisions), arbitrarily revised upwards the data of the Hungarian Statistical Office (HSO) on GDP-growth for the first three quarters of 2016. This "methodological innovation" (as put by the NBH) served to support its unrealistic 2.8 percent GDP-growth projection for 2016. In March 2017, the HSO reported GDP to have grown by a mere 2 percent in 2016. Hence, the "backcast" of the NBH, combined with its forecast for the last quarter of 2016, proved to be a failure. However, the NBH did not give up: without offering a substantive explanation for its forecast error, it claimed in its 2017 March Inflation Report that GDP-growth was by 0.2 percentage points higher in 2016 than reported by the HSO. This mode of conduct of the NBH can be objected both on ethical and professional grounds. By this practice the NBH not only questions the reliability of official statistical data, but it also makes its forecasts incomparable both across time and with those of other analysts. While expressing uncertainty regarding future data-revisions by a central bank certainly makes sense, there are no professional arguments to support a practice whereby a central bank simply overwrites official data by its extremely uncertain "backcasts".

     
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    Volltext (kostenfrei)
    Quelle: Verbundkataloge
    Sprache: Ungarisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9786155754029
    Weitere Identifier:
    hdl: 10419/190478
    Schriftenreihe: Műhelytanulmányok / Magyar Tudományos Akadémia Közgazdaság- és Regionális Tudományi Kutatóközpont ; MT-DP - 2017, 17
    Umfang: 1 Online-Ressource (circa 27 Seiten), Illustrationen