IDEAS home Printed from https://ideas.repec.org/p/oxf/wpaper/431.html
   My bibliography  Save this paper

The possible macroeconomic impact on the UK of an influenza pandemic

Author

Listed:
  • Simon Wren-Lewis
  • Marcus Keogh-Brown
  • W. John Edmunds
  • Philippe Beutels and Richard D. Smith

Abstract

Little is known about the possible impact of an influenza pandemic on a nation's economy. We applied the UK macroeconomic model 'COMPACT' to epidemiological data on previous UK influenza pandemics, and extrapolated a sensitivity analysis to cover more extreme disease scenarios. Analysis suggests that the economic impact of a repeat of the 1957 or 1968 pandemics, allowing for school closures, would be short lived, constituting a loss of 3.35% and 0.58% of GDP in the first pandemic quarter and year respectively. A more severe scenario (with more than 1% of the population dying) could yield impacts of 21% and 4.5% respectively. The economic shockwave would be gravest when absenteeism (through school closures) increases beyond a few weeks, creating policy repercussions for influenza pandemic planning as the most severe economic impact is due to policies to contain the pandemic rather than the pandemic itself. Accounting for changes in consumption patterns made in an attempt to avoid infection worsens the potential impact. Our mild disease scenario then shows first quarter/first year reductions in GDP of 9.5%/2.5%, compared to our severe scenario reductions of 29.5%. These results clearly indicate the significance of behavioural change over disease parameters.

Suggested Citation

  • Simon Wren-Lewis & Marcus Keogh-Brown & W. John Edmunds & Philippe Beutels and Richard D. Smith, 2009. "The possible macroeconomic impact on the UK of an influenza pandemic," Economics Series Working Papers 431, University of Oxford, Department of Economics.
  • Handle: RePEc:oxf:wpaper:431
    as

    Download full text from publisher

    File URL: https://ora.ox.ac.uk/objects/uuid:6b6a8cd3-cd7d-42f0-991c-5945a47693eb
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Wren-Lewis, Simon, et al, 1996. "The Macroeconomic Effects of Fiscal Policy: Linking an Econometric Model with Theory," Economic Journal, Royal Economic Society, vol. 106(436), pages 543-559, May.
    2. Jong-Wha Lee & Warwick J. McKibbin, 2004. "Globalization and Disease: The Case of SARS," Asian Economic Papers, MIT Press, vol. 3(1), pages 113-131.
    3. Smith, Richard D., 2006. "Responding to global infectious disease outbreaks: Lessons from SARS on the role of risk perception, communication and management," Social Science & Medicine, Elsevier, vol. 63(12), pages 3113-3123, December.
    4. Anthony Garratt & Kevin Lee & M. Hashem Pesaran & Yongcheol Shin, 2003. "A Long run structural macroeconometric model of the UK," Economic Journal, Royal Economic Society, vol. 113(487), pages 412-455, April.
    5. Lars Jonung & Werner Roeger, 2006. "The macroeconomic effects of a pandemic in Europe - A model-based assessment," European Economy - Economic Papers 2008 - 2015 251, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    6. Darby, Julia & Ireland, Jonathan & Leith, Campbell & Wren-Lewis, Simon, 1998. "COMPACT: a rational expectations, intertemporal model of the United Kingdom economy," Economic Modelling, Elsevier, vol. 16(1), pages 1-52, January.
    7. Keogh-Brown, Marcus Richard & Smith, Richard David, 2008. "The economic impact of SARS: How does the reality match the predictions?," Health Policy, Elsevier, vol. 88(1), pages 110-120, October.
    8. Jan P. A. M. Jacobs & Kenneth F. Wallis, 2005. "Comparing SVARs and SEMs: two models of the UK economy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 209-228.
    9. Warwick McKibbin & Alexandra Sidorenko, 2006. "Global Macroeconomic Consequences of Pandemic Influenza," CAMA Working Papers 2006-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Smith, Richard D. & Yago, Milton & Millar, Michael & Coast, Jo, 2005. "Assessing the macroeconomic impact of a healthcare problem: The application of computable general equilibrium analysis to antimicrobial resistance," Journal of Health Economics, Elsevier, vol. 24(6), pages 1055-1075, November.
    11. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    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. George Verikios & Maura Sullivan & Pane Stojanovski & James Giesecke & Gordon Woo, 2016. "Assessing Regional Risks From Pandemic Influenza: A Scenario Analysis," The World Economy, Wiley Blackwell, vol. 39(8), pages 1225-1255, August.
    2. Smith, Richard D. & Keogh-Brown, Marcus R. & Barnett, Tony, 2011. "Estimating the economic impact of pandemic influenza: An application of the computable general equilibrium model to the UK," Social Science & Medicine, Elsevier, vol. 73(2), pages 235-244, July.
    3. Tiberiu Cristian Avrămescu, 2020. "Assessments on the Effects of the Coronavirus Pandemic on the Economies of the Central and South-East European Union Countries," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 105-112, August.
    4. Kenneth F. Wallis & Jan P. A. M. Jacobs, 2005. "Comparing SVARs and SEMs: two models of the UK economy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 209-228.
    5. Verikios, George & Sullivan, Maura & Stojanovski, Pane & Giesecke, James & Woo, Gordon, 2011. "The Global Economic Effects of Pandemic Influenza," Conference papers 332033, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. Ilan Noy & Tomáš Uher, 2022. "Economic consequences of pre-COVID-19 epidemics: a literature review," Chapters, in: Mark Skidmore (ed.), Handbook on the Economics of Disasters, chapter 7, pages 117-133, Edward Elgar Publishing.
    7. Garratt, Anthony & Lee, Kevin C & Pesaran, M. Hashem & Shin, Yongcheol, 1998. "A Structural Cointegrating VAR Approach to Macroeconometric Modelling," Cambridge Working Papers in Economics 9823, Faculty of Economics, University of Cambridge.
    8. Verikios, George, 2017. "The Importance of Periodicity in Modelling Infectious Disease Outbreaks," Conference papers 332907, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. Wallis, Kenneth F., 2008. "Macroeconomic modelling in central banks in Latin America," Documentos de Proyectos 3627, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    10. P. Beutels & W. J. Edmunds & R. D. Smith, 2008. "Partially wrong? Partial equilibrium and the economic analysis of public health emergencies of international concern," Health Economics, John Wiley & Sons, Ltd., vol. 17(11), pages 1317-1322, November.
    11. P. Beutels & W. J. Edmunds & R. D. Smith, 2008. "Partially wrong? Partial equilibrium and the economic analysis of public health emergencies of international concern," Health Economics, John Wiley & Sons, Ltd., vol. 17(11), pages 1317-1322.
    12. Fang, Guanfu & Feng, Jin, 2021. "Is the 2003 SARS epidemic over? Long-term effects of epidemic exposure on mortality among older adults," China Economic Review, Elsevier, vol. 67(C).
    13. Verikios, George, 2020. "The dynamic effects of infectious disease outbreaks: the case of pandemic influenza and human coronavirus," MPRA Paper 104434, University Library of Munich, Germany.
    14. Margaret Chitiga‐Mabugu & Martin Henseler & Ramos Mabugu & Hélène Maisonnave, 2021. "Economic and Distributional Impact of COVID‐19: Evidence from Macro‐Micro Modelling of the South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 89(1), pages 82-94, March.
    15. Md. Mahmudul Alam & Haitian Wei & Abu N. M. Wahid, 2021. "COVID‐19 outbreak and sectoral performance of the Australian stock market: An event study analysis," Australian Economic Papers, Wiley Blackwell, vol. 60(3), pages 482-495, September.
    16. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    17. Joseph H. Cook, 2013. "Principles and standards for benefit–cost analysis of public health preparedness and pandemic mitigation programs," Chapters, in: Scott O. Farrow & Richard Zerbe, Jr. (ed.), Principles and Standards for Benefit–Cost Analysis, chapter 3, pages 110-152, Edward Elgar Publishing.
    18. Yothin Jinjarak & Ilan Noy & Quy Ta, 2022. "Pandemics and Economic Growth: Evidence from the 1968 H3N2 Influenza," Economics of Disasters and Climate Change, Springer, vol. 6(1), pages 73-93, March.
    19. Gian Maria Campedelli & Alberto Aziani & Serena Favarin, 2020. "Exploring the Effects of COVID-19 Containment Policies on Crime: An Empirical Analysis of the Short-term Aftermath in Los Angeles," Papers 2003.11021, arXiv.org, revised Oct 2020.
    20. Anirudh Shingal & Prachi Agarwal, 2020. "How did trade in GVC-based products respond to previous health shocks? Lessons for COVID-19," RSCAS Working Papers 2020/68, European University Institute.

    More about this item

    Keywords

    Pandemic; Influenza; Simulation; COMPACT;
    All these keywords.

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    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:oxf:wpaper:431. 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: Anne Pouliquen (email available below). General contact details of provider: https://edirc.repec.org/data/sfeixuk.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.