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Revisionen der Volkswirtschaftlichen Gesamtrechnungen und ihre Auswirkungen auf Prognosen
[Revisions of national accounts data and their impact on forecasts]

Author

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  • Roland Döhrn

    (RWI Leibniz-Institut für Wirtschaftsforschung)

Abstract

Zusammenfassung Die Volkswirtschaftlichen Gesamtrechnungen (VGR) sind die wichtigste Grundlage für makroökonomische Analysen. Für Deutschland werden diese vom Statistischen Bundesamt vierteljährlich veröffentlicht. Die erste Veröffentlichung basiert noch auf unvollständigen Daten, so dass die Angaben in der Folgezeit mehrfach revidiert werden, bis etwa dreieinhalb Jahre nach Ende eines Jahres endgültige Werte vorliegen. Überlagert werden diese laufenden Revisionen von sogenannten Generalrevisionen, mit denen systematische Änderungen in den VGR umgesetzt werden. Beobachten lassen sich nur die Revisionen insgesamt, während mit Blick auf die Arbeit der statistischen Ämter und den Gesetzgeber eher das Ausmaß der laufenden Revisionen von Interesse ist. Der vorliegende Beitrag isoliert mit Hilfe eines einfachen Ansatzes die laufenden Revisionen und untersucht deren Ausmaß sowie, ob sie statistische Regelmäßigkeiten aufweisen. Dabei lassen sich für eine Reihe preisbereinigter Verwendungsaggregate der VGR wie auch für die Erwerbstätigkeit Systematiken wie Verzerrung, Autokorrelation der Revisionen und Korrelation zwischen der Revision und der Veränderungsrate der betreffenden Variablen finden. Dies weist auf Möglichkeiten hin, durch bessere Datennutzung die datenbedingt notwendigen Revisionen der VGR zu verringern. Dies ist auch mit Blick auf die Genauigkeit von Prognosen wünschenswert, denn die Arbeit zeigt, dass die Treffsicherheit von im Herbst veröffentlichten Prognosen wesentlich durch Revisionen der Daten für das erste Halbjahr des betreffenden Jahres beeinflusst wird.

Suggested Citation

  • Roland Döhrn, 2019. "Revisionen der Volkswirtschaftlichen Gesamtrechnungen und ihre Auswirkungen auf Prognosen [Revisions of national accounts data and their impact on forecasts]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 13(2), pages 99-123, September.
  • Handle: RePEc:spr:astaws:v:13:y:2019:i:2:d:10.1007_s11943-019-00251-x
    DOI: 10.1007/s11943-019-00251-x
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    References listed on IDEAS

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    1. Nicolas Carnot & Vincent Koen & Bruno Tissot, 2011. "Economic Forecasting and Policy," Palgrave Macmillan Books, Palgrave Macmillan, edition 0, number 978-0-230-30644-8.
    2. Jannsen, Nils, 2018. "Zur Revisionsanfälligkeit der privaten Konsumausgaben im vierten Quartal," Kiel Insight 2018.3, Kiel Institute for the World Economy (IfW Kiel).
    3. Victor Zarnowitz, 1992. "Business Cycles: Theory, History, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number zarn92-1, March.
    4. Boysen-Hogrefe, Jens & Neuwirth, Stefan, 2012. "The impact of seasonal and price adjustments on the predictability of German GDP revisions," Kiel Working Papers 1753, Kiel Institute for the World Economy (IfW Kiel).
    5. Athanasios Orphanides, 2001. "Monetary Policy Rules Based on Real-Time Data," American Economic Review, American Economic Association, vol. 91(4), pages 964-985, September.
    6. Nicolas Cuche-Curti & Pamela Hall & Attilio Zanetti, 2009. "Swiss GDP revisions: A monetary policy perspective," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2008(2), pages 183-213.
    7. Dean Croushore & Tom Stark, 2002. "Is macroeconomic research robust to alternative data sets?," Working Papers 02-3, Federal Reserve Bank of Philadelphia.
    8. Lupi, Claudio & Peracchi, Franco, 2003. "The limits of statistical information: How important are GDP revisions in Italy?," Economics & Statistics Discussion Papers esdp03005, University of Molise, Department of Economics.
    9. Olivier Roodenburg & Ard H.J. den Reijer, 2006. "Dutch GDP Data Revisions: Are They Predictable and Where Do They Come from?," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 52(4), pages 337-356.
    10. 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.
    11. Heilemann Ullrich, 2004. "Besser geht’s nicht – Genauigkeitsgrenzen von Konjunkturprognosen / As Good as it Gets – Limits of Accuracy of Macroeconomic Short Term Forecasts," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(1-2), pages 51-64, February.
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    Cited by:

    1. Döhrn, Roland, 2020. "Are German national accounts informational efficient?," Ruhr Economic Papers 880, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Timo Schmid & Markus Zwick, 2019. "Vorwort der Herausgeber," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 13(2), pages 95-97, September.
    3. Döhrn, Roland, 2019. "Zur Aussagekraft der VGR der Länder - Revisionspraxis und Verbesserungsvorschläge," RWI Materialien 132, RWI - Leibniz-Institut für Wirtschaftsforschung.

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