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Does money matter in the euro area? Evidence from a new Divisia index

Author

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  • Zsolt Darvas

    (Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences and and Bruegel and Corvinus University of Budapest)

Abstract

Standard simple-sum monetary aggregates, like M3, sum up monetary assets that are imperfect substitutes and provide different transaction and investment services. Divisia monetary aggregates, originated from Barnett (1980), are derived from economic aggregation and index number theory and aim to aggregate the money components by considering their transaction service. No Divisia monetary aggregates are published for the euro area, in contrast to the United Kingdom and United States. We derive and make available a dataset on euro-area Divisia money aggregates for January 2001 – September 2014 using monthly data. We plan to update the dataset in the future. Using structural vector-autoregressions (SVAR), we find that Divisia aggregates have a significant impact on output about 1.5 years after a shock and tend also to have an impact on prices and interest rates. The latter result suggests that the European Central Bank reacted to developments in monetary aggregates. Divisia aggregates reacted negatively to unexpected increases in the interest rates. None of these results are significant when we use simple-sum measures of money. Our findings for the euro area complement the evidence from US data that Divisia monetary aggregates are useful in assessing the impacts of monetary policy and that they work better in SVAR models than simple-sum measures of money.

Suggested Citation

  • Zsolt Darvas, 2014. "Does money matter in the euro area? Evidence from a new Divisia index," CERS-IE WORKING PAPERS 1433, Institute of Economics, Centre for Economic and Regional Studies.
  • Handle: RePEc:has:discpr:1433
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    Cited by:

    1. Neepa Gaekwad & William Barnett, 2024. "Multilateral Divisia monetary aggregates for the Euro area," Economics Bulletin, AccessEcon, vol. 44(3), pages 1224-1241.
    2. 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.
    3. Ghosh, Taniya & Parab, Prashant Mehul, 2018. "Testing the Friedman and Schwartz Hypothesis using Time Varying Correlation Analysis," MPRA Paper 90628, University Library of Munich, Germany.
    4. Moritz Pfeifer & Gunther Schnabl, 2024. "Monetary Policy, Divergence, and the Euro," CESifo Working Paper Series 11442, CESifo.
    5. Ghosh, Taniya & Bhadury, Soumya, 2018. "Money's causal role in exchange rate: Do divisia monetary aggregates explain more?," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 402-417.
    6. Matteo Farnè & Angela Montanari, 2022. "A Bootstrap Method to Test Granger-Causality in the Frequency Domain," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 935-966, March.
    7. 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.
    8. El-Shagi, Makram & Tochkov, Kiril, 2022. "Shadow of the colossus: Euro area spillovers and monetary policy in Central and Eastern Europe," Journal of International Money and Finance, Elsevier, vol. 120(C).
    9. Michael T. Belongia & Peter N. Ireland, 2022. "Strengthening the second pillar: a greater role for money in the ECB’s strategy," Applied Economics, Taylor & Francis Journals, vol. 54(1), pages 99-114, January.
    10. Barnett, William A. & Ghosh, Taniya & Adil, Masudul Hasan, 2022. "Is money demand really unstable? Evidence from Divisia monetary aggregates," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 606-622.
    11. Barlow, David, 2023. "The stability of UK households Divisia money balances," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 451-459.
    12. Muhammad Zubair Mumtaz & Zachary Alexander Smith & Naoyuki Yoshino, 2025. "Cryptocurrencies, Money Demand, And Monetary Policy," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 28(2), pages 293-312, July.
    13. Taniya Ghosh & Prashant Mehul Parab, 2019. "Testing the Friedman-Schwartz Hypothesis Using Time Varying Correlation," Working Papers id:12986, eSocialSciences.
    14. Mehmet Ezer, 2019. "Do Monetary Aggregates Belong In A Monetary Model? Evidence From The Uk," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 22(4), pages 509-530, December.
    15. Israr Ahmad Shah Hashmi & Arshad Ali Bhatti, 2019. "On the monetary measures of global liquidity," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-23, December.
    16. 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.

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    JEL classification:

    • 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
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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