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The information content of monetary statistics for the Great Recession: Evidence from Germany

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  • Chen, Wenjuan
  • Nautz, Dieter

Abstract

This paper introduces a Divisia monetary aggregate for Germany and explores its information content for the Great Recession. Divisia money and the corresponding simple sum aggregate are highly correlated in normal times but begin to diverge before the crisis. Out of sample forecast analysis and a conditional forecast exercise show that the predictive content of this divergence for the Great Recession is not only statistically significant, but also economically important.

Suggested Citation

  • Chen, Wenjuan & Nautz, Dieter, 2015. "The information content of monetary statistics for the Great Recession: Evidence from Germany," SFB 649 Discussion Papers 2015-027, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    • Handle: RePEc:zbw:sfb649:sfb649dp2015-027
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    References listed on IDEAS

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    1. William A. Barnett, 2000. "Economic Monetary Aggregates: An Application of Index Number and Aggregation Theory," Contributions to Economic Analysis, in: The Theory of Monetary Aggregation, pages 11-48, Emerald Group Publishing Limited.
    2. Schunk, Donald L, 2001. "The Relative Forecasting Performance of the Divisia and Simple Sum Monetary Aggregates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 33(2), pages 272-283, May.
    3. Rayton, Bruce A. & Pavlyk, Khrystyna, 2010. "On the recent divergence between measures of the money supply in the UK," Economics Letters, Elsevier, vol. 108(2), pages 159-162, August.
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    5. William Barnett & Jia Liu & Ryan Mattson & Jeff Noort, 2013. "The New CFS Divisia Monetary Aggregates: Design, Construction, and Data Sources," Open Economies Review, Springer, vol. 24(1), pages 101-124, February.
    6. Barnett, William A., 2003. "Aggregation-theoretic monetary aggregation over the euro area, when countries are heterogeneous," Working Paper Series 260, European Central Bank.
    7. Barnett, William A. & Chauvet, Marcelle, 2011. "How better monetary statistics could have signaled the financial crisis," Journal of Econometrics, Elsevier, vol. 161(1), pages 6-23, March.
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    9. Livio Stracca, 2004. "Does Liquidity Matter? Properties of a Divisia Monetary Aggregate in the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(3), pages 309-331, July.
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    Cited by:

    1. Barnett, William & Gaekwad, Neepa, 2021. "Multilateral Divisia monetary aggregates for the Euro Area," MPRA Paper 105528, University Library of Munich, Germany.
    2. Maximilian C. Brill & Dieter Nautz & Lea Sieckmann, 2021. "Divisia monetary aggregates for a heterogeneous euro area," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(1), pages 247-278, February.
    3. Hong, Puah & Leong, Choi-Meng & Mansor, Shazali & Lau, Evan, 2018. "Revisiting Money Demand in Malaysia: Simple-Sum versus Divisia Monetary Aggregates," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(2), pages 267-278.
    4. William A. Barnett & Neepa B. Gaekwad, 2018. "The Demand for Money for EMU: a Flexible Functional Form Approach," Open Economies Review, Springer, vol. 29(2), pages 353-371, April.

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    More about this item

    Keywords

    Monetary aggregates; Divisia index; recession indicator; Great Recession;
    All these keywords.

    JEL classification:

    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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