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The Quantity Theory Revisited: A New Structural Approach

Author

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  • El-Shagi, Makram
  • Giesen, Sebastian
  • Kelly, Logan J.

Abstract

We propose a unified identification scheme to identify monetary shocks and track their propagation through the economy. We combine three approaches dealing with the consequences of monetary shocks. First, we adjust a state space version of the P-star type model employing money overhang as the driving force of inflation. Second, we identify the contemporaneous impact of monetary policy shocks by applying a sign restriction identification scheme to the reduced form given by the state space signal equations. Third, to ensure that our results are not distorted by the measurement error exhibited by the official monetary data, we employ the Divisia M4 monetary aggregate provided by the Center for Financial Stability. Our approach overcomes one of the major difficulties of previous models by using a data-driven identification of equilibrium velocity. Thus, we are able to show that a P-star model can fit U.S. data and money did indeed matter in the United States.

Suggested Citation

  • El-Shagi, Makram & Giesen, Sebastian & Kelly, Logan J., 2015. "The Quantity Theory Revisited: A New Structural Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 19(1), pages 58-78, January.
    • Handle: RePEc:cup:macdyn:v:19:y:2015:i:01:p:58-78_00
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    Cited by:

    1. El-Shagi, Makram & Kelly, Logan, 2019. "What can we learn from country-level liquidity in the EMU?," Journal of Financial Stability, Elsevier, vol. 42(C), pages 75-83.
    2. Jung, Alexander, 2017. "Forecasting broad money velocity," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 421-432.
    3. Moritz Pfeifer & Gunther Schnabl, 2024. "Monetary Policy, Divergence, and the Euro," CESifo Working Paper Series 11442, CESifo.
    4. Michael T. Belongia & Peter N. Ireland, 2018. "Monetary Policy Lessons from the Greenbook," Boston College Working Papers in Economics 955, Boston College Department of Economics.
    5. Jane M. Binner & logan J. Kelly, 2017. "Modelling Money Shocks in a Small Open Economy: The Case of Taiwan," Manchester School, University of Manchester, vol. 85, pages 104-120, September.
    6. Baek, Jungho & Caton, James Lee & Miljkovic, Dragan, 2025. "Testing monetary neutrality with respect to relative price of oil using divisia M4," The Quarterly Review of Economics and Finance, Elsevier, vol. 101(C).
    7. Benchimol, Jonathan & Fourçans, André, 2017. "Money And Monetary Policy In The Eurozone: An Empirical Analysis During Crises," Macroeconomic Dynamics, Cambridge University Press, vol. 21(3), pages 677-707, April.
    8. Belongia, Michael T. & Ireland, Peter N., 2024. "The transmission of monetary policy shocks through the markets for reserves and money," Journal of Macroeconomics, Elsevier, vol. 80(C).
    9. El-Shagi, Makram & Giesen, Sebastian & Kelly, Logan J., 2012. "Monetary Policy in a World Where Money (Also) Matters," IWH Discussion Papers 6/2012, Halle Institute for Economic Research (IWH).
    10. Bordo, Michael D. & Duca, John V. & Jones, Barry E., 2025. "Broad Divisia money, supply pressures, and U.S. inflation following the COVID-19 recession," Macroeconomic Dynamics, Cambridge University Press, vol. 29, pages 1-1, January.

    More about this item

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • 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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