IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbwps/20101149.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp1149.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kenneth Rogoff, 1996. "The Purchasing Power Parity Puzzle," Journal of Economic Literature, American Economic Association, vol. 34(2), pages 647-668, June.
    2. John F. Henry & L. Randall Wray, 1998. "Economic Time," Macroeconomics 9811004, University Library of Munich, Germany.
    3. Bosker, E.M., 2006. "On the aggregation of eurozone data," Economics Letters, Elsevier, vol. 90(2), pages 260-265, February.
    4. Fagan, Gabriel & Henry, Jérôme & Mestre, Ricardo, 2001. "An area-wide model (AWM) for the euro area," Working Paper Series 42, European Central Bank.
    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.
    10. Fagan, Gabriel & Henry, Jerome & Mestre, Ricardo, 2005. "An area-wide model for the euro area," Economic Modelling, Elsevier, vol. 22(1), pages 39-59, January.
    11. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Assenmacher-Wesche, Katrin & Beyer, Andreas, 2019. "A cointegration model of money and wealth," CFS Working Paper Series 619, Center for Financial Studies (CFS).
    8. 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.
    9. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andreas Beyer & Katarina Juselius, 2008. "Does it Matter How to Measure Aggregates? The Case of Monetary Transmission Mechanisms in the Euro Area," Discussion Papers 08-07, University of Copenhagen. Department of Economics.
    2. Heather Anderson & Mardi Dungey & Denise Osborn & Farshid Vahid, 2007. "Constructing Historical Euro Area Data," Money Macro and Finance (MMF) Research Group Conference 2006 99, Money Macro and Finance Research Group.
    3. 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.
    4. Anderson, Heather M. & Dungey, Mardi & Osborn, Denise R. & Vahid, Farshid, 2011. "Financial integration and the construction of historical financial data for the Euro Area," Economic Modelling, Elsevier, vol. 28(4), pages 1498-1509, July.
    5. Coenen, Günter & Straub, Roland & Trabandt, Mathias, 2013. "Gauging the effects of fiscal stimulus packages in the euro area," Journal of Economic Dynamics and Control, Elsevier, vol. 37(2), pages 367-386.
    6. Gregory de Walque & Frank Smets & Rafael Wouters, 2006. "Firm-Specific Production Factors in a DSGE Model with Taylor Price Setting," International Journal of Central Banking, International Journal of Central Banking, vol. 2(3), September.
    7. Annicchiarico, Barbara & Giammarioli, Nicola & Piergallini, Alessandro, 2012. "Budgetary policies in a DSGE model with finite horizons," Research in Economics, Elsevier, vol. 66(2), pages 111-130.
    8. Di Giorgio, Giorgio & Nisticò, Salvatore, 2013. "Productivity shocks, stabilization policies and the dynamics of net foreign assets," Journal of Economic Dynamics and Control, Elsevier, vol. 37(1), pages 210-230.
    9. Keith Kuester & Volker Wieland, 2010. "Insurance Policies for Monetary Policy in the Euro Area," Journal of the European Economic Association, MIT Press, vol. 8(4), pages 872-912, June.
    10. Arnold, Ivo J.M. & Roelands, Sebastian, 2010. "The demand for euros," Journal of Macroeconomics, Elsevier, vol. 32(2), pages 674-684, June.
    11. Mr. Helge Berger & Mr. Henning Weber, 2012. "Money As Indicator for the Natural Rate of Interest," IMF Working Papers 2012/006, International Monetary Fund.
    12. Eilev S. Jansen, 2004. "Modelling inflation in the Euro Area," Working Paper 2004/10, Norges Bank.
    13. Patrick Feve & Julien Matheron & Guillaume Sahuc, 2010. "Désinflation et chômage dans la zone euro : une analyse à l'aide d'un modèle var structurel," Annals of Economics and Statistics, GENES, issue 99-100, pages 365-394.
    14. Patrick F»Ve & Julien Matheron & Jean-Guillaume Sahuc, 2010. "Disinflation Shocks in the Eurozone: A DSGE Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(2-3), pages 289-323, March.
    15. Gianni Amisano & Oreste Tristani, 2006. "Euro area inflation persistence in an estimated nonlinear," Computing in Economics and Finance 2006 347, Society for Computational Economics.
    16. Amisano, Gianni & Tristani, Oreste, 2010. "Euro area inflation persistence in an estimated nonlinear DSGE model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1837-1858, October.
    17. Eric Jondeau & Jean-Guillaume Sahuc, 2008. "Optimal Monetary Policy in an Estimated DSGE Model of the Euro Area with Cross-Country Heterogeneity," International Journal of Central Banking, International Journal of Central Banking, vol. 4(2), pages 23-72, June.
    18. Ricardo Mestre & Peter McAdam, 2011. "Is forecasting with large models informative? Assessing the role of judgement in macroeconomic forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(3), pages 303-324, April.
    19. Paredes, Joan & Pedregal, Diego J. & Pérez, Javier J., 2014. "Fiscal policy analysis in the euro area: Expanding the toolkit," Journal of Policy Modeling, Elsevier, vol. 36(5), pages 800-823.
    20. Jérôme Coffinet & Céline Poilly, 2009. "Une évaluation structurelle du ratio de sacrifice dans la zone euro," Revue d'économie politique, Dalloz, vol. 119(2), pages 273-299.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ecb:ecbwps:20101149. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Official Publications (email available below). General contact details of provider: https://edirc.repec.org/data/emieude.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.