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Vierteljährliche volkswirtschaftliche Gesamtrechnungen für Sachsen mit Hilfe temporaler Disaggregation

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  • Wolfgang Nierhaus

Abstract

Mit der hier vorgestellten Vierteljahresrechnung soll eine Datenlücke in der regionalen Volkswirtschaftlichen Gesamtrechnung des Freistaates Sachsen geschlossen werden. Mit Hilfe des Verfahrens der temporalen Disaggregation wird ein vierteljährliches Zahlenwerk erstellt, das mit den amtlichen Jahresergebnissen des Arbeitskreises Volkswirtschaftliche Gesamtrechnungen der Länder konsistent ist. Dabei werden Jahreswerte regressionsanalytisch unter Verwendung höher frequenter Referenzindikatoren in vierteljährliche Aggregate umgewandelt. Vorrangig wird auf sächsische Indikatoren zugegriffen; fehlen diese, so werden näherungsweise bundesdeutsche Daten verwendet.

Suggested Citation

  • Wolfgang Nierhaus, 2007. "Vierteljährliche volkswirtschaftliche Gesamtrechnungen für Sachsen mit Hilfe temporaler Disaggregation," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 14(04), pages .24-36, August.
    • Handle: RePEc:ces:ifodre:v:14:y:2007:i:04:p:s.24-36
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    References listed on IDEAS

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    1. Wolfgang Nierhaus, 2004. "Zur Einführung der Vorjahrespreisbasis in der deutschen Statistik: Besonderheiten der Quartalsrechnung," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(15), pages 14-21, August.
    2. Wolfgang Nierhaus, 2004. "Economic growth in the system of national accounts: the introduction of the previous-year price base in the German statistics," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(05), pages 28-34, March.
    3. Wolf-Dietmar Speich, 2006. "Revision 2005 in den regionalen Gesamtrechnungen," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 13(02), pages .33-41, April.
    4. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    5. Kirchner, Robert, 1999. "Auswirkungen des neuen Saisonbereinigungsverfahrens Census X-12-ARIMA auf die aktuelle Wirtschaftsanalyse in Deutschland," Discussion Paper Series 1: Economic Studies 1999,07, Deutsche Bundesbank.
    6. Wolf-Dietmar Speich, 2006. "Revision 2005 in den regionalen Gesamtrechnungen," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 13(02), pages 33-41, 04.
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    Cited by:

    1. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
    2. Baumann, Alexendra & Wohlrabe, Klaus, 2019. "Publikationen von Wirtschaftsforschungsinstituten im deutschsprachigen Raum - Eine bibliometrische Analyse [Publications of Economic Research Insitutes in the German Speaking Area - A bibliometric ," MPRA Paper 92240, University Library of Munich, Germany.
    3. Lehmann, Robert & Wikman, Ida, 2022. "Quarterly GDP Estimates for the German States," MPRA Paper 112642, University Library of Munich, Germany.

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    JEL classification:

    • H61 - Public Economics - - National Budget, Deficit, and Debt - - - Budget; Budget Systems

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