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Does it matter how aggregates are measured? The case of monetary transmission mechanisms in the euro area

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  • Beyer, Andreas
  • Juselius, Katarina

Abstract

Beyer, Doornik and Hendry (2000, 2001) show analytically that three out of four aggregation methods yield problematic results when exchange rate shifts induce relative-price changes between individual countries and found the least problematic method to be the variable weight method of growth rates. This papers shows, however, that the latter is sensitive to the choice of base year when based on real GDP weights whereas not on nominal GDP weights. A comparison of aggregates calculated with different methods shows that the differences are tiny in absolute value but highly persistent. To investigate the impact on the cointegration properties in empirical modelling, the monetary model in Coenen & Vega (2001) based on fixed weights was re-estimated using flexible real and nominal GDP weights. In general, the results remained reasonably robust to the choice of aggregation method. JEL Classification: C42, E41, C32

Suggested Citation

  • Beyer, Andreas & Juselius, Katarina, 2010. "Does it matter how aggregates are measured? The case of monetary transmission mechanisms in the euro area," Working Paper Series 1149, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:20101149
    Note: 336354
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    References listed on IDEAS

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    5. Juselius, Katarina, 2006. "The Cointegrated VAR Model: Methodology and Applications," OUP Catalogue, Oxford University Press, number 9780199285679.
    6. G. Coenen & J.-L. Vega, 2001. "The demand for M3 in the euro area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 727-748.
    7. Andreas Beyer & Jurgen A. Doornik & David F. Hendry, 2000. "Reconstructing Aggregate Euro‐zone Data," Journal of Common Market Studies, Wiley Blackwell, vol. 38(4), pages 613-624, November.
    8. Mike Artis & Andreas Beyer, 2004. "Issues in Money Demand: The Case of Europe," Journal of Common Market Studies, Wiley Blackwell, vol. 42(4), pages 717-736, November.
    9. Kongsted, Hans Christian, 2005. "Testing the nominal-to-real transformation," Journal of Econometrics, Elsevier, vol. 124(2), pages 205-225, February.
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    Citations

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    Cited by:

    1. Michael Murach, 2019. "Global Determinants of the Gold Price: A Multivariate Cointegration Analysis," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 198-214, February.
    2. Dreger, Christian & Wolters, Jürgen, 2016. "On the Empirical Relevance of the Lucas Critique: the Case of Euro Area Money Demand," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 43(1), pages 61-82.
    3. Assenmacher-Wesche, Katrin & Beyer, Andreas, 2019. "A cointegration model of money and wealth," CFS Working Paper Series 619, Center for Financial Studies (CFS).
    4. Helmut Lütkepohl, 2010. "Forecasting Aggregated Time Series Variables: A Survey," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(2), pages 1-26.
    5. Michael Murach & Helmut Wagner, 2021. "The effects of external shocks on the business cycle in China: A structural change perspective," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 681-702, August.
    6. Christian Dreger & Jürgen Wolters, 2011. "Money and Inflation in the Euro Area during the Financial Crisis," Discussion Papers of DIW Berlin 1131, DIW Berlin, German Institute for Economic Research.
    7. Murach, Michael & Wagner, Helmut, 2019. "The effects of external shocks on the business cycle in China: A structural change perspective," CEAMeS Discussion Paper Series 1/2016, University of Hagen, Center for East Asia Macro-economic Studies (CEAMeS), revised 2019.
    8. Matteo Barigozzi & Antonio M. Conti, 2018. "On the Stability of Euro Area Money Demand and Its Implications for Monetary Policy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(4), pages 755-787, August.
    9. Dreger, Christian & Wolters, Jürgen, 2014. "Money demand and the role of monetary indicators in forecasting euro area inflation," International Journal of Forecasting, Elsevier, vol. 30(2), pages 303-312.
    10. repec:wsr:wpaper:y:2013:i:119 is not listed on IDEAS

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    More about this item

    Keywords

    aggregation; cointegration; Eurowide money demand; Flexible weights;
    All these keywords.

    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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