IDEAS home Printed from https://ideas.repec.org/a/cdh/commen/549.html
   My bibliography  Save this article

Into the Unknown: Reflections on Risk, Uncertainty and Monetary Policy Decision-making

Author

Listed:
  • Paul Jenkins

    (C.D. Howe Institute)

Abstract

The contention of this Commentary, using the 2008-2009 Global Financial Crisis (GFC) and related monetary policy decision-making as a case point, is a simple one: that closer attention should be paid to the distinction between risk and uncertainty. As defined by economist Frank Knight of the University of Chicago, risk applies to situations where the outcome of a given situation is not known, but where we can measure probabilities with some degree of confidence. Uncertainty, in contrast, applies to situations where we cannot know all the information we need in order to estimate the probabilities in the first place. It has been standard practice that central banks take into account perceived risks for the economic outlook in their conduct of policy. The Commentary starts with a review of the ways the central banks have traditionally dealt with the distinction between risk and uncertainty using models of optimizing (i.e., rational) behaviour. The Commentary then discusses Agent-Based Models (ABMs), one example of a nonoptimizing behavioural model, in which simple behaviours can combine from the ‘bottom up’ to recreate the more complex behaviours seen in the real world (Turrell 2016). Employing these models could expand the central bank’s toolkit for dealing with risk and uncertainty. The discussion then turns to the importance of communications and why central banks should reposition their communications strategies to better address the distinction between risk and uncertainty. The case is made that expanding their communications strategy to include narratives is a potentially powerful approach for acknowledging there is no pretense on their part that they know what the future holds. By narrative, we mean the ability to integrate information in a way that both acknowledges the infinite uncertainties facing us and tells a story to assist economic agents to understand the world confronting them. For the best policy decisions, a single judgment about the economic outlook is needed, where risks are considered balanced. However, uncertainties may mean that a single judgment is difficult, or near impossible. In today’s world, it seems that economic (and geopolitical) uncertainties have become an almost constant feature of the policy landscape. A growing concern about the true nature and extent of these uncertainties facing policymakers is becoming more commonplace, and for good reason. Three examples are considered, all reflective of the uncertain global economic environment facing Canada. The first is Brexit; the second is the implications for Canada of US-China trade tensions; and the third is climate change. The message of this Commentary is that it is better to acknowledge than ignore these uncertainties as part of a central bank’s modeling and communications strategy.

Suggested Citation

  • Paul Jenkins, 2019. "Into the Unknown: Reflections on Risk, Uncertainty and Monetary Policy Decision-making," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 549, July.
  • Handle: RePEc:cdh:commen:549
    as

    Download full text from publisher

    File URL: https://www.cdhowe.org/sites/default/files/attachments/research_papers/mixed/Commentary_549.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Philippe Bergevin & Pierre Duguay & Paul Jenkins, 2011. "When Nightmares Become Real: Modelling Linkages between the Financial Sector and the Real Economy in the Aftermath of the Financial Crisis," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 332, August.
    2. Ashraf, Quamrul & Gershman, Boris & Howitt, Peter, 2016. "How Inflation Affects Macroeconomic Performance: An Agent-Based Computational Investigation," Macroeconomic Dynamics, Cambridge University Press, vol. 20(2), pages 558-581, March.
    3. A G Haldane & A E Turrell, 2018. "An interdisciplinary model for macroeconomics," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 34(1-2), pages 219-251.
    4. Paul Jenkins & David Longworth, 2002. "Monetary Policy and Uncertainty," Bank of Canada Review, Bank of Canada, vol. 2002(Summer), pages 3-10.
    5. George A. Akerlof, 2009. "How Human Psychology Drives the Economy and Why It Matters," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1175-1175.
    6. Stephen Murchison & Andrew Rennison, 2006. "ToTEM: The Bank of Canada's New Quarterly Projection Model," Technical Reports 97, Bank of Canada.
    7. Gino Cateau & Stephen Murchison, 2010. "Monetary Policy Rules in an Uncertain Environment," Bank of Canada Review, Bank of Canada, vol. 2010(Spring), pages 27-39.
    8. Turrell, Arthur, 2016. "Agent-based models: understanding the economy from the bottom up," Bank of England Quarterly Bulletin, Bank of England, vol. 56(4), pages 173-188.
    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. Cars Hommes & Mario He & Sebastian Poledna & Melissa Siqueira & Yang Zhang, 2022. "CANVAS: A Canadian Behavioral Agent-Based Model," Staff Working Papers 22-51, Bank of Canada.
    2. John Komlos, 2021. "Macroeconomic Inequality from Reagan to Trump. Market Power, Wage Repression, Asset Price Inflation, and Industrial Decline," The Economic Record, The Economic Society of Australia, vol. 97(318), pages 450-453, September.
    3. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Hétérogénéité des agents, interconnexions financières et politique monétaire : une approche non conventionnelle," Revue française d'économie, Presses de Sciences-Po, vol. 0(3), pages 201-231.
    4. Christoph Aymanns & J. Doyne Farmer & Alissa M. Keinniejenhuis & Thom Wetzer, 2017. "Models of Financial Stability and their Application in Stress Tests," Working Papers on Finance 1805, University of St. Gallen, School of Finance.
    5. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.
    6. Kozicki, Sharon, 2012. "Macro has progressed," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 23-28.
    7. Giovanni Dosi & Andrea Roventini, 2019. "More is different ... and complex! the case for agent-based macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 1-37, March.
    8. Angelo Melino & Michael Parkin, 2010. "Greater Transparency Needed," e-briefs 102, C.D. Howe Institute.
    9. Severin Reissl, 2021. "Heterogeneous expectations, forecasting behaviour and policy experiments in a hybrid Agent-based Stock-flow-consistent model," Journal of Evolutionary Economics, Springer, vol. 31(1), pages 251-299, January.
    10. Romain Plassard, 2020. "Making a Breach: The Incorporation of Agent-Based Models into the Bank of England's Toolkit," GREDEG Working Papers 2020-30, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    11. Olivier Gervais & Marc-André Gosselin, 2014. "Analyzing and Forecasting the Canadian Economy through the LENS Model," Technical Reports 102, Bank of Canada.
    12. Takeshi Kato & Mohammad Rezoanul Hoque, 2024. "Wealth inequality and utility: Effect evaluation of redistribution and consumption morals using macro-econophysical coupled approach," Papers 2405.13341, arXiv.org.
    13. Adnan Haider Bukhari & Safdar Ullah Khan, 2008. "A Small Open Economy DSGE Model for Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 963-1008.
    14. Popoyan, Lilit & Napoletano, Mauro & Roventini, Andrea, 2017. "Taming macroeconomic instability: Monetary and macro-prudential policy interactions in an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 117-140.
    15. Federico Guglielmo Morelli & Michael Benzaquen & Marco Tarzia & Jean-Philippe Bouchaud, 2020. "Confidence collapse in a multihousehold, self-reflexive DSGE model," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(17), pages 9244-9249, April.
    16. Stern, Nicholas, 2018. "Public economics as if time matters: Climate change and the dynamics of policy," Journal of Public Economics, Elsevier, vol. 162(C), pages 4-17.
    17. Jang, Tae-Seok & Sacht, Stephen, 2017. "Modeling consumer confidence and its role for expectation formation: A horse race," Economics Working Papers 2017-04, Christian-Albrechts-University of Kiel, Department of Economics.
    18. Pablo Burriel & Jesús Fernández-Villaverde & Juan Rubio-Ramírez, 2010. "MEDEA: a DSGE model for the Spanish economy," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 175-243, March.
    19. Guglielmo Maria Caporale & Alex Plastun, 2019. "Price overreactions in the cryptocurrency market," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(5), pages 1137-1155, August.
    20. Lamperti, Francesco & Bosetti, Valentina & Roventini, Andrea & Tavoni, Massimo & Treibich, Tania, 2021. "Three green financial policies to address climate risks," Journal of Financial Stability, Elsevier, vol. 54(C).

    More about this item

    Keywords

    Monetary Policy; Central Banking; Economic Outlook; Policy Guidance;
    All these keywords.

    JEL classification:

    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    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:cdh:commen:549. 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: Kristine Gray (email available below). General contact details of provider: https://edirc.repec.org/data/cdhowca.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.