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Do Pandemics Impact Macroeconomic Variables? A Cliometric Approach

Author

Listed:
  • Guillaume Morel
  • Magali Jaoul-Grammare

Abstract

The objective of this article is to study the impact of major pandemics on GDP/capita, wages and prices. The originality of our work lies in a cliometric approach relying on a database spanning multiple centuries (1280-2018), using various series from De Granges et al. (1855), D’Avenel (1894), Baulant (1971), INSEE (1988) and Maddison (2020). In order to analyse the impact of major pandemics on the economy, we use the outlier methodology (Darné and Diebolt, 2004). This method consists in detecting atypical points affecting the evolution of a time series. It relies on real shocks and not on simulated ones; it is therefore more suitable for historical analysis. We detect events which significantly affected the evolution of the economy during a determined period. The following question is tackled: over the period 1280-2018, did pandemics significantly influence the evolution of GDP/capita, wages and prices (wheat) and if so, what has been the nature of this impact? Having outlined the history of pandemics and reviewed the literature linking our variables to health shocks, we present our results and observe a differentiated impact of pandemics between variables. First, only GDP/capita is significantly affected by health shocks. Second, wages and prices seem to be unaffected by pandemics; variations appear to be directly linked to institutional events like the introduction of taxes, the presence of guilds, and changes in worker statuses (Jedwab et al. (2020)), and to structural events as food shortages and crop failures (Boyer et al. (2019)).

Suggested Citation

  • Guillaume Morel & Magali Jaoul-Grammare, 2023. "Do Pandemics Impact Macroeconomic Variables? A Cliometric Approach," Working Papers of BETA 2023-01, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  • Handle: RePEc:ulp:sbbeta:2023-01
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    File URL: http://beta.u-strasbg.fr/WP/2023/2023-01.pdf
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    References listed on IDEAS

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    1. Alok Bhargava & Dean T. Jamison & Lawrence J. Lau & Christopher J. L. Murray, 2006. "Modeling the effects of health on economic growth," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 20, pages 269-286, World Scientific Publishing Co. Pte. Ltd..
    2. Remi Jedwab & Noel D. Johnson & Mark Koyama, 2022. "The Economic Impact of the Black Death," Journal of Economic Literature, American Economic Association, vol. 60(1), pages 132-178, March.
    3. 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.
    4. Martin S Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2021. "The Macroeconomics of Epidemics [Economic activity and the spread of viral diseases: Evidence from high frequency data]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5149-5187.
    5. Basco, Sergi & Domènech, Jordi & Rosés, Joan R., 2021. "The redistributive effects of pandemics: Evidence on the Spanish flu," World Development, Elsevier, vol. 141(C).
    6. Samuel Cohn, 2007. "After the Black Death: labour legislation and attitudes towards labour in late‐medieval western Europe," Economic History Review, Economic History Society, vol. 60(3), pages 457-485, August.
    7. Darne, Olivier & Diebolt, Claude, 2004. "Unit roots and infrequent large shocks: new international evidence on output," Journal of Monetary Economics, Elsevier, vol. 51(7), pages 1449-1465, October.
    8. Philipson, Tomas, 2000. "Economic epidemiology and infectious diseases," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 33, pages 1761-1799, Elsevier.
    9. Robert J. Barro & José F. Ursúa & Joanna Weng, 2020. "The Coronavirus and the Great Influenza Pandemic: Lessons from the “Spanish Flu” for the Coronavirus’s Potential Effects on Mortality and Economic Activity," NBER Working Papers 26866, National Bureau of Economic Research, Inc.
    10. David Baqaee & Emmanuel Farhi, 2022. "Supply and Demand in Disaggregated Keynesian Economies with an Application to the COVID-19 Crisis," American Economic Review, American Economic Association, vol. 112(5), pages 1397-1436, May.
    11. Fernando E. Alvarez & David Argente & Francesco Lippi, 2020. "A Simple Planning Problem for COVID-19 Lockdown," NBER Working Papers 26981, National Bureau of Economic Research, Inc.
    12. Bloom, David E. & Mahal, Ajay S., 1997. "Does the AIDS epidemic threaten economic growth?," Journal of Econometrics, Elsevier, vol. 77(1), pages 105-124, March.
    13. Jappelli, Tullio & Carillo, Mario Francesco, 2020. "Pandemics and Local Economic Growth: Evidence from the Great Influenza in Italy," CEPR Discussion Papers 14849, C.E.P.R. Discussion Papers.
    14. repec:aei:rpaper:1008560098 is not listed on IDEAS
    15. Jean-Daniel Boyer & Magali Jaoul-Grammare & Sylvie Rivot, 2019. "The debate over grain in the 1750s. A cliometric point of view," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 26(4), pages 698-737, July.
    16. Daron Acemoglu & Victor Chernozhukov & Ivàn Werning & Michael D. Whinston, 2020. "A Multi-Risk SIR Model with Optimally Targeted Lockdown," CeMMAP working papers CWP14/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Guido Alfani, 2013. "Plague in seventeenth-century Europe and the decline of Italy: an epidemiological hypothesis," European Review of Economic History, European Historical Economics Society, vol. 17(4), pages 408-430, November.
    18. Jaravel, Xavier & O'Connell, Martin, 2020. "Real-time price indices: Inflation spike and falling product variety during the Great Lockdown," Journal of Public Economics, Elsevier, vol. 191(C).
    19. Augier, Laurent & Yaly, Amy, 2013. "Economic growth and disease in the OLG model: The HIV/AIDS case," Economic Modelling, Elsevier, vol. 33(C), pages 471-481.
    20. Andrew Atkeson, 2020. "What Will be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios," Staff Report 595, Federal Reserve Bank of Minneapolis.
    21. M. Postan, 1950. "Some Economic Evidence Of Declining Population In The Later Middle Ages," Economic History Review, Economic History Society, vol. 2(3), pages 221-246, April.
    22. F. J. Fisher, 1965. "Influenza and Inflation in Tudor England," Economic History Review, Economic History Society, vol. 18(1), pages 120-129, August.
    23. Robert J. Barro & José F. Ursua & Joanna Weng, 2020. "The Coronavirus and the Great Influenza Epidemic - Lessons from the "Spanish Flu" for the Coronavirus's Potential Effects on Mortality and Economic Activity," CESifo Working Paper Series 8166, CESifo.
    24. Helen Robbins, 1928. "A Comparison of the Effects of the Black Death on the Economic Organization of France and England," Journal of Political Economy, University of Chicago Press, vol. 36(4), pages 447-447.
    25. Aditya Goenka & Lin Liu, 2012. "Infectious diseases and endogenous fluctuations," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 50(1), pages 125-149, May.
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    More about this item

    Keywords

    Cliometrics; GDP; Infectious diseases; Outliers; Prices; Wages.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • N33 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Europe: Pre-1913

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