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Aggregation-theoretic monetary aggregation over the euro area, when countries are heterogeneous

Author

Listed:
  • Barnett, William A.

Abstract

We derive fundamental new theory for measuring monetary service flows aggregated over countries within the European Monetary Union (EMU). We develop three increasingly restrictive approaches: (1) the heterogeneous agents approach, (2) the multilateral representative agent approach, and (3) the unilateral representative agent approach. Our heterogeneous agents approach contains our multilateral representative agent approach as a special case. In our most general approach, we assume the existence of a representative consumer within each country to aggregate within each country. We use a stochastic approach to aggregation across countries over the heterogeneous representative agents, and we derive the resulting formulas for stochastic aggregation over countries. Our theory permits monitoring the effects of policy at the aggregate level over the euro area, while also monitoring the distribution effects of policy among the countries of the euro area. Our approach requires the simultaneous use of two inflation indexes over the euro area. JEL Classification: C43, C82, E41, E51, F31

Suggested Citation

  • Barnett, William A., 2003. "Aggregation-theoretic monetary aggregation over the euro area, when countries are heterogeneous," Working Paper Series 260, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:2003260
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    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp260.pdf
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    Cited by:

    1. Ryadh M. Alkhareif & William A. Barnett, 2012. "Divisia Monetary Aggregates for the GCC Countries," International Symposia in Economic Theory and Econometrics, in: Recent Developments in Alternative Finance: Empirical Assessments and Economic Implications, pages 1-37, Emerald Group Publishing Limited.
    2. Swofford, James L., 2008. "Tests of microeconomic foundations of Asian common currency areas," Journal of Asian Economics, Elsevier, vol. 19(3), pages 254-258, June.
    3. 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.
    4. Neepa Gaekwad & William Barnett, 2024. "Multilateral Divisia monetary aggregates for the Euro area," Economics Bulletin, AccessEcon, vol. 44(3), pages 1224-1241.
    5. William A. Barnett, 2011. "Multilateral Aggregation-Theoretic Monetary Aggregation over Heterogeneous Countries," World Scientific Book Chapters, in: Financial Aggregation And Index Number Theory, chapter 6, pages 167-206, World Scientific Publishing Co. Pte. Ltd..
    6. Jones, Barry E. & Fleissig, Adrian R. & Elger, Thomas & Dutkowsky, Donald H., 2008. "Monetary policy and monetary asset substitution," Economics Letters, Elsevier, vol. 99(1), pages 18-22, April.
    7. 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.
    8. Richard G. Anderson & Barry E. Jones, 2011. "A comprehensive revision of the U.S. monetary services (divisia) indexes," Review, Federal Reserve Bank of St. Louis, vol. 93(Sep), pages 325-360.
    9. Duca, John V. & VanHoose, David D., 2004. "Recent developments in understanding the demand for money," Journal of Economics and Business, Elsevier, vol. 56(4), pages 247-272.
    10. William A. Barnett & Shu Wu, 2011. "On User Costs of Risky Monetary Assets," World Scientific Book Chapters, in: Financial Aggregation And Index Number Theory, chapter 3, pages 85-105, World Scientific Publishing Co. Pte. Ltd..
    11. 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.
    12. Sunil Paul & Sartaj Rasool Rather & M. Ramachandran, 2015. "Money and Inflation: Evidence from P-Star Model," Working Papers 2015-115, Madras School of Economics,Chennai,India.
    13. Jin, Man, 2018. "Measuring substitution in China's monetary-assets demand system," China Economic Review, Elsevier, vol. 50(C), pages 117-132.
    14. William Barnett & Shu Wu, 2004. "Intertemporally non-separable monetary-asset risk adjustment and aggregation," Economics Bulletin, AccessEcon, vol. 5(13), pages 1-9.
    15. James L. Swofford, 2005. "Tests of microeconomic foundations of a North American common currency area," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 38(2), pages 420-429, May.
    16. 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.
    17. repec:ebl:ecbull:v:5:y:2004:i:13:p:1-9 is not listed on IDEAS
    18. Calza, Alessandro & Zaghini, Andrea, 2006. "Non-linear dynamics in the euro area demand for M1," Working Paper Series 592, European Central Bank.
    19. 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.
    20. Elger, C. Thomas & Jones, Barry E. & Edgerton, David L. & Binner, Jane M., 2008. "A Note On The Optimal Level Of Monetary Aggregation In The United Kingdom," Macroeconomic Dynamics, Cambridge University Press, vol. 12(1), pages 117-131, February.
    21. Binner, Jane M. & Bissoondeeal, Rakesh K. & Elger, C. Thomas & Jones, Barry E. & Mullineux, Andrew W., 2009. "Admissible monetary aggregates for the euro area," Journal of International Money and Finance, Elsevier, vol. 28(1), pages 99-114, February.
    22. repec:hum:wpaper:sfb649dp2015-027 is not listed on IDEAS
    23. 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.

    More about this item

    Keywords

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    JEL classification:

    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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