IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/99981.html
   My bibliography  Save this paper

Monetary policy implications of the COVID-19 outbreak, the social pandemic

Author

Listed:
  • Roedl, Marianne
  • Dupont, Genevieve

Abstract

Whilst the magnitude and consequences of the outbreak can certainly not be compensated – at least for many, or even quantified, it is hoped that greater cooperation between global economies, will be fostered in the ongoing efforts to find a solution to address the outbreak. This paper is aimed at contributing to the literature on a topic on which previous literature, at least prior to December 12 2019, practically and literally, in respect of COVID-19, did not exist. Many major economies and global economies have extended shut downs from excluding essential workers, to 80-90% of its citizens being ordered to stay at home Whilst it is certainly crucial to ensure that the outbreak is contained, it appears that certain economies, given uncertainties associated with the nature, scope of recent developments, are willing to take risks at salvaging their economies. At what stage does a government decide that prevailing restrictive social distancing measures should be relaxed? What are possible mental, long term consequences associated with, and attributable to a protracted economic shut down? What options exist for monetary policy and central banks in particular, given less options available amidst historically low interest rate levels? These constitute some of the questions which this paper aims to address.

Suggested Citation

  • Roedl, Marianne & Dupont, Genevieve, 2020. "Monetary policy implications of the COVID-19 outbreak, the social pandemic," MPRA Paper 99981, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:99981
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/99981/1/MPRA_paper_99981.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:zbw:bofrdp:2019_012 is not listed on IDEAS
    2. Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2019. "The Phillips Curve at 60: time for time and frequency," CEF.UP Working Papers 1902, Universidade do Porto, Faculdade de Economia do Porto.
    3. Berge, Travis J., 2018. "Understanding survey-based inflation expectations," International Journal of Forecasting, Elsevier, vol. 34(4), pages 788-801.
    4. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    5. repec:zbw:bofrdp:2020_004 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Emilie Jasova & Bozena Kaderabkova, 2022. "The effectiveness of government measures in the first wave of Covid-19 pandemic," International Journal of Economic Sciences, European Research Center, vol. 11(1), pages 19-36, April.

    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. Alessandro Barbarino & Travis J. Berge & Han Chen & Andrea Stella, 2020. "Which Output Gap Estimates Are Stable in Real Time and Why?," Finance and Economics Discussion Series 2020-102, Board of Governors of the Federal Reserve System (U.S.).
    2. Randal J. Verbrugge & Saeed Zaman, 2021. "Whose Inflation Expectations Best Predict Inflation?," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2021(19), pages 1-7, October.
    3. Andrew B. Martinez, 2020. "Extracting Information from Different Expectations," Working Papers 2020-008, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    4. Joshy Easaw & Roberto Golinelli, 2022. "Professionals Inflation Forecasts: The Two Dimensions Of Forecaster Inattentiveness [“Sectoral and aggregate inflation dynamics in the euro area”]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 701-720.
    5. Chen, Qitong & Hong, Yongmiao & Li, Haiqi, 2024. "Time-varying forecast combination for factor-augmented regressions with smooth structural changes," Journal of Econometrics, Elsevier, vol. 240(1).
    6. Gary Koop & Dimitris Korobilis, 2019. "Forecasting with High‐Dimensional Panel VARs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(5), pages 937-959, October.
    7. Salisu, Afees A. & Ademuyiwa, Idris & Isah, Kazeem O., 2018. "Revisiting the forecasting accuracy of Phillips curve: The role of oil price," Energy Economics, Elsevier, vol. 70(C), pages 334-356.
    8. Michael Bordo & Barry Eichengreen, 2013. "Bretton Woods and the Great Inflation," NBER Chapters, in: The Great Inflation: The Rebirth of Modern Central Banking, pages 449-489, National Bureau of Economic Research, Inc.
    9. Bedri Kamil Onur Taş, 2016. "Does the Federal Reserve have Private Information about its Future Actions?," Economica, London School of Economics and Political Science, vol. 83(331), pages 498-517, July.
    10. Orphanides, Athanasios & Wei, Min, 2012. "Evolving macroeconomic perceptions and the term structure of interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 36(2), pages 239-254.
    11. Chin, Kuo-Hsuan & Li, Xue, 2019. "Bayesian forecast combination in VAR-DSGE models," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 278-298.
    12. Todd E. Clark & Michael W. McCracken, 2010. "Averaging forecasts from VARs with uncertain instabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 5-29, January.
    13. Kevin Lansing, 2009. "Time Varying U.S. Inflation Dynamics and the New Keynesian Phillips Curve," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(2), pages 304-326, April.
    14. Kitsul, Yuriy & Wright, Jonathan H., 2013. "The economics of options-implied inflation probability density functions," Journal of Financial Economics, Elsevier, vol. 110(3), pages 696-711.
    15. Verbrugge, Randal & Zaman, Saeed, 2023. "The hard road to a soft landing: Evidence from a (modestly) nonlinear structural model," Energy Economics, Elsevier, vol. 123(C).
    16. Broto Carmen & Ruiz Esther, 2009. "Testing for Conditional Heteroscedasticity in the Components of Inflation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(2), pages 1-30, May.
    17. Stéphane Guibaud & Yves Nosbusch & Dimitri Vayanos, 2013. "Bond Market Clienteles, the Yield Curve, and the Optimal Maturity Structure of Government Debt," The Review of Financial Studies, Society for Financial Studies, vol. 26(8), pages 1914-1961.
    18. Canelli, Rosa & Fontana, Giuseppe & Realfonzo, Riccardo & Passarella, Marco Veronese, 2024. "Energy crisis, economic growth and public finance in Italy," Energy Economics, Elsevier, vol. 132(C).
    19. Blasques, Francisco & van Brummelen, Janneke & Gorgi, Paolo & Koopman, Siem Jan, 2024. "Maximum Likelihood Estimation for Non-Stationary Location Models with Mixture of Normal Distributions," Journal of Econometrics, Elsevier, vol. 238(1).
    20. Adriana Cornea‐Madeira & João Madeira, 2022. "Econometric Analysis of Switching Expectations in UK Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 651-673, June.

    More about this item

    Keywords

    digital currency; interest rates; consumer spending; investor confidence; global markets; new Keynesian Philips Curve;
    All these keywords.

    JEL classification:

    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission
    • F45 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Macroeconomic Issues of Monetary Unions
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • F63 - International Economics - - Economic Impacts of Globalization - - - Economic Development
    • K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

    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:pra:mprapa:99981. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.