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Identifying the German Inventory Cycle, A Multivariate Structural Time Series Approach Using Survey Data

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  • Erich Langmantel

    ()
    (IFO Institute for Economic Research, Muenchen)

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    Abstract

    Inventory fluctuations play an important role in the formation of business cycles. In Germany, little research has been dedicated to this topic recently. In this study, a structural time series model in the tradition of Harvey (1989) is employed to decompose German inventory investment into trend, cyclical and seasonal components. The empirical findings are compared with the results of theoretical inventory models. The estimations suggests that the German inventory cycle consists of three sub-cycles with periods of one, three and eight years. The three-year cycle of inventory investment corresponds to the well known "Kitchin" cycle and has a significant impact on GDP fluctuations. Adding the inventory assessment variable from the IFO business survey to the model improves the results. It turns out that the inventory assessment variable has properties of a leading indicator. These findings may be useful to improve macroeconomic forecasting.

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    Bibliographic Info

    Article provided by Justus-Liebig University Giessen, Department of Statistics and Economics in its journal Journal of Economics and Statistics.

    Volume (Year): 225 (2005)
    Issue (Month): 6 (November)
    Pages: 675-687

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    Handle: RePEc:jns:jbstat:v:225:y:2005:i:6:p:675-687

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    Related research

    Keywords: Inventory cycle; unobserved components models; survey data;

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    References

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    1. Gebhard Flaig, 2002. "Unoberserved Components Models for Quarterly German GDP," CESifo Working Paper Series 681, CESifo Group Munich.
    2. Alan S. Blinder & Louis J. Maccini, 1991. "Taking Stock: A Critical Assessment of Recent Research on Inventories," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 73-96, Winter.
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    Cited by:
    1. Monika Ruschinski, 2008. "Die deutsche Dienstleistungs- und Warenausfuhr im Rückblick: Gibt es markante Unterschiede im Wachstum?," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 61(05), pages 23-29, 01.

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