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A Re-Appraisal of the Role of Monetary Policy: The Quantity Theory of Money through a Structural Vector Autoregressive Approach

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Listed:
  • Antonio Focacci

    (Department of Management, University of Bologna, 40126 Bologna, Italy)

  • Angelo Focacci

    (Independent Researcher, Via Luciano Lama, 231, 47521 Cesena, Italy)

Abstract

The COVID-19 pandemic, the Russia–Ukraine and the Israel–Hamas conflicts, and the resulting global economic shocks will affect the world economy for several years. This paper analyzes and discusses monetary finance (MF) using the Quantity Theory of Money (QTM) to understand economic dynamics. To achieve this goal, we utilize a Structural Vector Autoregressive (SVAR) identification scheme with sign restrictions on datasets from advanced economies. The findings indicate that monetary growth plays a role in short-term inflationary dynamics, while its effects are less significant in the medium to long term. The aim of the paper is to contribute to ongoing debate surrounding the potential strategies for addressing the economic downturn through the reintroduction of monetary finance (MF).

Suggested Citation

  • Antonio Focacci & Angelo Focacci, 2024. "A Re-Appraisal of the Role of Monetary Policy: The Quantity Theory of Money through a Structural Vector Autoregressive Approach," JRFM, MDPI, vol. 17(8), pages 1-23, August.
    • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:8:p:355-:d:1455572
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    References listed on IDEAS

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    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Berndt, Antje & Yeltekin, Şevin, 2015. "Monetary policy, bond returns and debt dynamics," Journal of Monetary Economics, Elsevier, vol. 73(C), pages 119-136.
    3. António Afonso & José Alves & Raquel Balhote, 2019. "Interactions between monetary and fiscal policies," Journal of Applied Economics, Taylor & Francis Journals, vol. 22(1), pages 132-151, January.
    4. Ellington, Michael & Milas, Costas, 2019. "Global liquidity, money growth and UK inflation," Journal of Financial Stability, Elsevier, vol. 42(C), pages 67-74.
    5. Belke, Ansgar & Bordon, Ingo G. & Volz, Ulrich, 2013. "Effects of Global Liquidity on Commodity and Food Prices," World Development, Elsevier, vol. 44(C), pages 31-43.
    6. repec:zbw:rwirep:0323 is not listed on IDEAS
    7. Canova, Fabio & Nicolo, Gianni De, 2002. "Monetary disturbances matter for business fluctuations in the G-7," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1131-1159, September.
    8. Kilian, Lutz, 2001. "Impulse Response Analysis in Vector Autoregressions with Unknown Lag Order," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(3), pages 161-179, April.
    9. Nicholas Kaldor, 1975. "What is Wrong with Economic Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 89(3), pages 347-357.
    10. Lutz Kilian & Daniel P. Murphy, 2012. "Why Agnostic Sign Restrictions Are Not Enough: Understanding The Dynamics Of Oil Market Var Models," Journal of the European Economic Association, European Economic Association, vol. 10(5), pages 1166-1188, October.
    11. Ulrich K. Müller & Mark W. Watson, 2018. "Long†Run Covariability," Econometrica, Econometric Society, vol. 86(3), pages 775-804, May.
    12. Amelie Brune & Thorsten Hens & Marc Rieger & Mei Wang, 2015. "The war puzzle: contradictory effects of international conflicts on stock markets," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 62(1), pages 1-21, March.
    13. Basco, Emiliano & D'Amato, Laura & Garegnani, Lorena, 2009. "Understanding the money-prices relationship under low and high inflation regimes: Argentina 1977-2006," Journal of International Money and Finance, Elsevier, vol. 28(7), pages 1182-1203, November.
    14. Antonio Focacci, 2023. "Is this very much a matter of faith? A monetisation approach to COVID-19," International Journal of Business and Systems Research, Inderscience Enterprises Ltd, vol. 17(3), pages 347-366.
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