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Die Prognose des Bruttoinlandsprodukts auf regionaler Ebene

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Author Info

  • Robert Lehmann

    ()

  • Klaus Wohlrabe

    ()

Abstract

Prognosen der wirtschaftlichen Entwicklung auf regionaler Ebene sind bisher eher selten in der wissenschaftlichen Literatur und in der Praxis vorzufinden. Dies ist vor allem auf das Fehlen von Quartalsdaten und der nur wenigen potenziellen Indikatoren auf regionaler Ebene zurückzuführen. Der vorliegende Artikel zeigt für Sachsen und Ostdeutschland, inwieweit Prognosen für das jeweilige Bruttoinlandsprodukt möglich sind. Für die Vorhersage werden sowohl internationale, nationale als auch regionale Indikatoren verwendet. Neben einfachen Modellprognosen werden auch verschiedene Kombinationsansätze verwendet. Dadurch können einfache Benchmark-Modelle signifikant verbessert werden.

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Bibliographic Info

Article provided by Ifo Institute for Economic Research at the University of Munich in its journal ifo Schnelldienst.

Volume (Year): 65 (2012)
Issue (Month): 21 (November)
Pages: 17-23

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Handle: RePEc:ces:ifosdt:v:65:y:2012:i:21:p:17-23

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Keywords: Wirtschaftswachstum; Regionale Entwicklung; Sozialprodukt; Sachsen; Neue Bundesländer; Wirtschaftsindikator; Bruttoinlandsprodukt;

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References

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  1. Robert Lehmann & Klaus Wohlrabe, 2013. "Forecasting GDP at the regional level with many predictors," ERSA conference papers ersa13p15, European Regional Science Association.
  2. Klaus Abberger & Wolfgang Nierhaus, 2008. "Die ifo Kapazitätsauslastung - ein gleichlaufender Indikator der deutschen Industriekonjunktur," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 61(16), pages 15-23, 08.
  3. Lehmann, Robert & Wohlrabe, Klaus, 2013. "Forecasting GDP at the regional level with many predictors," Discussion Papers in Economics 17104, University of Munich, Department of Economics.
  4. Konstantin Arkadievich Kholodilin & Boriss Siliverstovs & Stefan Kooths, 2008. "A Dynamic Panel Data Approach to the Forecasting of the GDP of German L�nder," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(2), pages 195-207.
  5. Stefan Arent & Michael Kloß & Robert Lehmann, 2012. "Konjunkturprognose Ostdeutschland und Sachsen 2011/2012: Europäische Schuldenkrise lähmt gesamtwirtschaftliche Expansion," ifo Dresden berichtet, Ifo Institute for Economic Research at the University of Munich, vol. 19(01), pages 11-20, 02.
  6. Christian Dreger & Konstantin A. Kholodilin, 2006. "Prognosen der regionalen Konjunkturentwicklung," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 73(34), pages 469-474.
  7. Nikolay Robinzonov & Klaus Wohlrabe, 2010. "Freedom of Choice in Macroeconomic Forecasting ," CESifo Economic Studies, CESifo, vol. 56(2), pages 192-220, June.
  8. Gerit Vogt, 2010. "VAR-Prognose-Pooling : ein Ansatz zur Verbesserung der Informationsgrundlage der ifo Dresden Konjunkturprognosen," ifo Dresden berichtet, Ifo Institute for Economic Research at the University of Munich, vol. 17(02), pages 32-40, 04.
  9. Beate Schirwitz & Christian Seiler & Klaus Wohlrabe, 2009. "Regionale Konjunkturzyklen in Deutschland – Teil II: Die Zyklendatierung," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 62(14), pages 24-31, 07.
  10. Hans-Ulrich Brautzsch & Udo Ludwig, 2002. "Vierteljährliche Entstehungsrechnung des Bruttoinlandsprodukts für Ostdeutschland: Sektorale Bruttowertschöpfung," IWH Discussion Papers 164, Halle Institute for Economic Research.
  11. Wolfgang Nierhaus, 2007. "Vierteljährliche volkswirtschaftliche Gesamtrechnungen für Sachsen mit Hilfe temporaler Disaggregation," ifo Dresden berichtet, Ifo Institute for Economic Research at the University of Munich, vol. 14(04), pages 24-36, 08.
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Cited by:
  1. Christian Seiler & Klaus Wohlrabe, 2013. "Das ifo Geschäftsklima und die deutsche Konjunktur," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 66(18), pages 17-21, October.

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