IDEAS home Printed from https://ideas.repec.org/p/ind/igiwpp/2023-07.html
   My bibliography  Save this paper

Money and output asymmetry: The Unintended consequences of central banks' obsession with inflation

Author

Listed:
  • Taniya Ghosh

    (Indira Gandhi Institute of Development Research)

  • Abhishek Gorsi

    (Indira Gandhi Institute of Development Research)

Abstract

The study reexamines the relationship between money and output for the US, UK, and the Euro Area using quarterly data up to 2022. Modern central banks are focused on controlling inflation, and adjust their monetary policy and liquidity accordingly. However, it is common practise to overlook the precise effects of those actions on other variables. Unlike prior research, which has mainly focused on the linear relationship, this paper examines the asymmetric impact of money on output. The results show that a decrease in the amount of money has a much more adverse impact on output than an increase. Globally, during COVID-19, there was an infusion of liquidity that might have been useful in the short term, but the withdrawal of that excess liquidity, as been done currently by some major economies, may have long-term effects on those economies' output.

Suggested Citation

  • Taniya Ghosh & Abhishek Gorsi, 2023. "Money and output asymmetry: The Unintended consequences of central banks' obsession with inflation," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2023-07, Indira Gandhi Institute of Development Research, Mumbai, India.
  • Handle: RePEc:ind:igiwpp:2023-07
    as

    Download full text from publisher

    File URL: http://www.igidr.ac.in/pdf/publication/WP-2023-007.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mustafa Caglayan & Ozge Kandemir Kocaaslan & Kostas Mouratidis, 2017. "Financial Depth and the Asymmetric Impact of Monetary Policy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(6), pages 1195-1218, December.
    2. Hendrickson, Joshua R., 2014. "Redundancy Or Mismeasurement? A Reappraisal Of Money," Macroeconomic Dynamics, Cambridge University Press, vol. 18(7), pages 1437-1465, October.
    3. Michael T. Belongia & Peter N. Ireland, 2016. "Money and Output: Friedman and Schwartz Revisited," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(6), pages 1223-1266, September.
    4. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    5. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
    6. Belongia, Michael T, 1996. "Measurement Matters: Recent Results from Monetary Economics Reexamined," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 1065-1083, October.
    7. Berger, Helge & Österholm, Pär, 2009. "Does money still matter for U.S. output?," Economics Letters, Elsevier, vol. 102(3), pages 143-146, March.
    8. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    9. Martin Feldstein & James H. Stock, 1994. "The Use of a Monetary Aggregate to Target Nominal GDP," NBER Chapters, in: Monetary Policy, pages 7-69, National Bureau of Economic Research, Inc.
    10. Donald P. Morgan, 1993. "Asymmetric effects of monetary policy," Economic Review, Federal Reserve Bank of Kansas City, vol. 78(Q II), pages 21-33.
    11. Caraiani, Petre, 2012. "Money and output: New evidence based on wavelet coherence," Economics Letters, Elsevier, vol. 116(3), pages 547-550.
    12. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Belongia, Michael T. & Ireland, Peter N., 2019. "The demand for Divisia Money: Theory and evidence," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    2. Belongia, Michael T. & Ireland, Peter N., 2017. "Circumventing the zero lower bound with monetary policy rules based on money," Journal of Macroeconomics, Elsevier, vol. 54(PA), pages 42-58.
    3. Liu, Jinan & Dery, Cosmas & Serletis, Apostolos, 2020. "Recent monetary policy and the credit card-augmented Divisia monetary aggregates," Journal of Macroeconomics, Elsevier, vol. 64(C).
    4. Jeng-Bau Lin & Chin-Chia Liang & Wei Tsai, 2019. "Nonlinear Relationships between Oil Prices and Implied Volatilities: Providing More Valuable Information," Sustainability, MDPI, vol. 11(14), pages 1-15, July.
    5. 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.
    6. Dutta, Anupam & Bouri, Elie & Roubaud, David, 2019. "Nonlinear relationships amongst the implied volatilities of crude oil and precious metals," Resources Policy, Elsevier, vol. 61(C), pages 473-478.
    7. De Vita, Glauco & Trachanas, Emmanouil & Luo, Yun, 2018. "Revisiting the bi-directional causality between debt and growth: Evidence from linear and nonlinear tests," Journal of International Money and Finance, Elsevier, vol. 83(C), pages 55-74.
    8. Debi P Bal & Badri N Rath, 2019. "Nonlinear causality between crude oil price and exchange rate: A comparative study of China and India - A Reassessment," Economics Bulletin, AccessEcon, vol. 39(1), pages 592-604.
    9. Saafi Sami & Farhat Abdeljelil & Haj Mohamed Meriem Bel, 2015. "Testing the relationships between shadow economy and unemployment: empirical evidence from linear and nonlinear tests," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 585-608, December.
    10. Palazzi, Rafael Baptista & Meira, Erick & Klotzle, Marcelo Cabus, 2022. "The sugar-ethanol-oil nexus in Brazil: Exploring the pass-through of international commodity prices to national fuel prices," Journal of Commodity Markets, Elsevier, vol. 28(C).
    11. Philip Chukwunonso Bosah & Shixiang Li & Gideon Kwaku Minua Ampofo & Daniel Akwasi Asante & Zhanqi Wang, 2020. "The Nexus Between Electricity Consumption, Economic Growth, and CO 2 Emission: An Asymmetric Analysis Using Nonlinear ARDL and Nonparametric Causality Approach," Energies, MDPI, vol. 13(5), pages 1-24, March.
    12. Muhsin KAR & Saban NAZLIOGLU & Huseyin AGIR, 2014. "Trade Openness, Financial Development, and Economic Growth in Turkey: Linear and Nonlinear Causality Analysis," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 8(1), pages 63-86.
    13. Keating, John W. & Smith, A. Lee, 2019. "The optimal monetary instrument and the (mis)use of causality tests," Journal of Financial Stability, Elsevier, vol. 42(C), pages 90-99.
    14. Castro Rozo, César & Jiménez-Rodríguez, Rebeca, 2018. "Time-varying relationship between oil price and exchange rate," MPRA Paper 87879, University Library of Munich, Germany.
    15. Sami Saafi & Meriem Bel Haj Mohamed & Abdeljelil Farhat, 2017. "Untangling the causal relationship between tax burden distribution and economic growth in 23 OECD countries: Fresh evidence from linear and non-linear Granger causality," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 14(2), pages 265-301, December.
    16. Belongia, Michael T. & Ireland, Peter N., 2022. "A reconsideration of money growth rules," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    17. Ciarreta Antuñano, Aitor & Zárraga Alonso, Ainhoa, 2007. "Electricity consumption and economic growth: evidence from Spain," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    18. César Castro & Rebeca Jiménez-Rodríguez, 2020. "Dynamic interactions between oil price and exchange rate," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-20, August.
    19. De Vita, Glauco & Trachanas, Emmanouil, 2016. "‘Nonlinear causality between crude oil price and exchange rate: A comparative study of China and India’ — A failed replication (negative Type 1 and Type 2)," Energy Economics, Elsevier, vol. 56(C), pages 150-160.
    20. Yang, Chen & Lv, Fei & Fang, Libing & Shang, Xingxing, 2020. "The pricing efficiency of crude oil futures in the Shanghai International Exchange," Finance Research Letters, Elsevier, vol. 36(C).

    More about this item

    Keywords

    Monetarism; Monetary Aggregates; Monetary Policy; Money; Money-Income-Output; NARDL; Non-Linear Granger Causality;
    All these keywords.

    JEL classification:

    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E64 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Incomes Policy; Price Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ind:igiwpp:2023-07. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Shamprasad M. Pujar (email available below). General contact details of provider: https://edirc.repec.org/data/igidrin.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.