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Prognosen der regionalen Konjunkturentwicklung

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  • Christian Dreger
  • Konstantin A. Kholodilin

Abstract

Prognosen der konjunkturellen Entwicklung in Deutschland beziehen sich zumeist auf die nationale Ebene. Die Ergebnisse sind jedoch nicht ohne Weiteres auf die regionalen Verhältnisse übertragbar. Ein wichtiger Grund dafür ist, dass die Branchenstrukturen der Regionen mehr oder weniger stark von derjenigen des gesamten Landes abweichen. In diesem Wochenbericht wird ein Verfahren zur Prognose der regionalen Wirtschaftsentwicklung für die einzelnen Bundesländer vorgestellt. Zum einen werden die Ergebnisse der nationalen Konjunkturprognose, zum anderen regionenspezifische Indikatoren herangezogen. Das Verfahren erlaubt eine empirisch fundierte Vorhersage der wirtschaftlichen Entwicklung in den einzelnen Bundesländern für das laufende und das folgende Jahr. Die Methode wird hier exemplarisch auf das Land Berlin angewandt. Danach wird die gesamtwirtschaftliche Produktion in Berlin 2006 und 2007 zwar schwächer expandieren als in Deutschland insgesamt, die jahrelange Phase der Schrumpfung setzt sich aber nicht mehr fort.

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Bibliographic Info

Article provided by DIW Berlin, German Institute for Economic Research in its journal Wochenbericht.

Volume (Year): 73 (2006)
Issue (Month): 34 ()
Pages: 469-474

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Handle: RePEc:diw:diwwob:73-34-1

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  1. Tommaso Proietti, 2004. "Temporal Disaggregation by State Space Methods: Dynamic Regression Methods Revisited," Econometrics, EconWPA 0411011, EconWPA.
  2. Banerjee, Anindya & Marcellino, Massimiliano & Masten, Igor, 2005. "Forecasting macroeconomic variables for the new member states of the European Union," Working Paper Series, European Central Bank 0482, European Central Bank.
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Cited by:
  1. Robert Lehmann & Klaus Wohlrabe, 2013. "Forecasting GDP at the regional level with many predictors," ERSA conference papers ersa13p15, European Regional Science Association.
  2. Konstantin A. Kholodilin & Boriss Siliverstovs & Stefan Kooths, 2007. "A Dynamic Panel Data Approach to the Forecasting of the GDP of German Länder," Discussion Papers of DIW Berlin 664, DIW Berlin, German Institute for Economic Research.
  3. Lehmann, Robert & Wohlrabe, Klaus, 2013. "Sectoral gross value-added forecasts at the regional level: Is there any information gain?," MPRA Paper 46765, University Library of Munich, Germany.
  4. Robert Lehmann & Klaus Wohlrabe, 2014. "Forecasting gross value-added at the regional level: are sectoral disaggregated predictions superior to direct ones?," Jahrbuch für Regionalwissenschaft, Springer, vol. 34(1), pages 61-90, February.
  5. Robert Lehmann & Klaus Wohlrabe, 2012. "Die Prognose des Bruttoinlandsprodukts auf regionaler Ebene," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 65(21), pages 17-23, November.
  6. Beate Schirwitz & Christian Seiler & Klaus Wohlrabe, 2009. "Regionale Konjunkturzyklen in Deutschland – Teil I: Die Datenlage," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 62(13), pages 18-24, 07.
  7. Wenzel, Lars & Wolf, André, 2013. "Short-term forecasting with business surveys: Evidence for German IHK data at federal state level," HWWI Research Papers 140, Hamburg Institute of International Economics (HWWI).
  8. Rüdiger Hamm, 2011. "Creative Class as a Determinant of Economic Development - Empirical Considerations for Northrhine-Westphalian Regions based on Time-Series Analysis," ERSA conference papers ersa11p828, European Regional Science Association.
  9. Wenzel, Lars, 2013. "Forecasting regional growth in Germany: A panel approach using business survey data," HWWI Research Papers 133, Hamburg Institute of International Economics (HWWI).
  10. Joachim Ragnitz & Stefan Arent & Wolfgang Nierhaus & Beate Schirwitz & Johannes Steinbrecher & Gerit Vogt & Björn Ziegenbalg, 2010. "Methodenexpertise zur Analyse der Auswirkungen der internationalen Finanz- und Wirtschaftskrise auf die Wirtschaft im Land Brandenburg : Gutachten im Auftrag des Ministeriums für Wirtschaft des Lande," ifo Dresden Studien, Ifo Institute for Economic Research at the University of Munich, Ifo Institute for Economic Research at the University of Munich, number 53, October.

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