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Aggregation-Theoretic Monetary Aggregation over the Euro Area, when Countries are Heterogeneous

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  • William A. Barnett

    (University of Kansas)

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.

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  • William A. Barnett, 2003. "Aggregation-Theoretic Monetary Aggregation over the Euro Area, when Countries are Heterogeneous," Macroeconomics 0309018, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpma:0309018
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    Cited by:

    1. Ryadh M. Alkhareif & William Barnett, 2012. "Divisia Monetary Aggregates for the GCC Countries," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201209, University of Kansas, Department of Economics, revised Aug 2012.
    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. William A. Barnett, 2011. "Multilateral Aggregation-Theoretic Monetary Aggregation over Heterogeneous Countries," World Scientific Book Chapters, in: Financial Aggregation And Index Number Theory, volume 2, chapter 6, pages 167-206, World Scientific Publishing Co. Pte. Ltd..
    4. 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.
    5. Ascari, Guido & Rankin, Neil, 2007. "Perpetual youth and endogenous labor supply: A problem and a possible solution," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 708-723, December.
    6. 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.
    7. 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.
    8. William A. Barnett & Shu Wu, 2011. "On User Costs of Risky Monetary Assets," World Scientific Book Chapters, in: Financial Aggregation And Index Number Theory, volume 2, chapter 3, pages 85-105, World Scientific Publishing Co. Pte. Ltd..
    9. Jin, Man, 2018. "Measuring substitution in China's monetary-assets demand system," China Economic Review, Elsevier, vol. 50(C), pages 117-132.
    10. William Barnett & Shu Wu, 2004. "Intertemporally non-separable monetary-asset risk adjustment and aggregation," Economics Bulletin, AccessEcon, vol. 5(13), pages 1-9.
    11. 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.
    12. repec:ebl:ecbull:v:5:y:2004:i:13:p:1-9 is not listed on IDEAS
    13. Calza, Alessandro & Zaghini, Andrea, 2006. "Non-linear dynamics in the euro area demand for M1," Working Paper Series 592, European Central Bank.
    14. 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.
    15. Wenjuan Chen & Dieter Nautz, 2015. "The Information Content of Monetary Statistics for the Great Recession: Evidence from Germany," SFB 649 Discussion Papers SFB649DP2015-027, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

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    More about this item

    Keywords

    multilateral aggregation; Divisia monetary aggregates; ECB; EMU; Euro area; aggregation over countries; heterogeneous agents; distribution effects;
    All these keywords.

    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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