IDEAS home Printed from https://ideas.repec.org/a/sae/anname/v703y2022i1p303-323.html
   My bibliography  Save this article

Loss of Life and Labor Productivity: The Canadian Opioid Crisis

Author

Listed:
  • Alexander Cheung
  • Joseph Marchand
  • Patricia Mark

Abstract

Opioids were declared a public health emergency in British Columbia, Canada, in 2016, and from that year through 2021, 29,894 Canadians lost their lives to opioid overdoses. More than two-thirds of those victims were employed in the five years prior to their deaths, and this study aims to quantify their lost productivity to the Canadian economy. We apply two human capital model variants in our analysis, projecting forward the future economic output of individuals who died from opioids, from their deaths to what would have been their eventual retirements, based on the industries in which they were employed. The total estimated productivity loss to Canada is at least $8.8 billion, with the equivalent “value of statistical life†calculations an order of magnitude higher; these are based on estimates of the amount of money that individuals would pay to avoid death. Our results challenge the notion that the opioid crisis predominantly affects unproductive members of society.

Suggested Citation

  • Alexander Cheung & Joseph Marchand & Patricia Mark, 2022. "Loss of Life and Labor Productivity: The Canadian Opioid Crisis," The ANNALS of the American Academy of Political and Social Science, , vol. 703(1), pages 303-323, September.
    • Handle: RePEc:sae:anname:v:703:y:2022:i:1:p:303-323
    DOI: 10.1177/00027162231155040
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/00027162231155040
    Download Restriction: no
    File URL: https://libkey.io/10.1177/00027162231155040?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Anne Case & Angus Deaton, 2017. "Mortality and Morbidity in the 21st Century," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 48(1 (Spring), pages 397-476.
    2. Banzhaf, H. Spencer, 2022. "The Value of Statistical Life: A Meta-Analysis of Meta-Analyses," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 13(2), pages 182-197, July.
    3. Hollingsworth, Alex & Ruhm, Christopher J. & Simon, Kosali, 2017. "Macroeconomic conditions and opioid abuse," Journal of Health Economics, Elsevier, vol. 56(C), pages 222-233.
    4. Antonis Targoutzidis, 2018. "Some adjustments to the human capital and the friction cost methods," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(9), pages 1225-1228, December.
    5. Anne Case & Angua Deaton, 2015. "Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st century," Working Papers 15078.full.pdf, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    6. Alan B. Krueger, 2017. "Where Have All the Workers Gone? An Inquiry into the Decline of the U.S. Labor Force Participation Rate," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 48(2 (Fall)), pages 1-87.
    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. Ilaria Natali & Mathias Dewatripont & Victor Ginsburgh & Michel Goldman & Patrick Legros, 2023. "Prescription opioids and economic hardship in France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(9), pages 1473-1504, December.
    2. Aliprantis, Dionissi & Fee, Kyle & Schweitzer, Mark E., 2023. "Opioids and the labor market," Labour Economics, Elsevier, vol. 85(C).
    3. Fernández Guerrico, Sofía, 2021. "The effects of trade-induced worker displacement on health and mortality in Mexico," Journal of Health Economics, Elsevier, vol. 80(C).
    4. Bhashkar Mazumder, 2023. "The Effects of Prescription Drug Monitoring Programs on Labor Market Activity and Credit Outcomes," Working Paper Series WP 2023-13, Federal Reserve Bank of Chicago.
    5. Buckles, Kasey & Evans, William N. & Lieber, Ethan M.J., 2023. "The drug crisis and the living arrangements of children," Journal of Health Economics, Elsevier, vol. 87(C).
    6. Shannon M. Monnat, 2022. "Demographic and Geographic Variation in Fatal Drug Overdoses in the United States, 1999–2020," The ANNALS of the American Academy of Political and Social Science, , vol. 703(1), pages 50-78, September.
    7. Brian J Cushing, 2017. "A Role for Regional Scientists in a Time of Crisis," The Review of Regional Studies, Southern Regional Science Association, vol. 47(3), pages 231-242, Fall.
    8. McGranahan, David & Parker, Timothy, 2021. "The Opioid Epidemic: A Geography in Two Phases," Economic Research Report 327197, United States Department of Agriculture, Economic Research Service.
    9. Samuel Taylor & Heather M. Stephens & Daniel Grossman, 2022. "The opioid crisis and economic distress: Consequences for population change," Journal of Regional Science, Wiley Blackwell, vol. 62(2), pages 541-577, March.
    10. O'Connor, Kelsey J. & Graham, Carol, 2019. "Longer, more optimistic, lives: Historic optimism and life expectancy in the United States," Journal of Economic Behavior & Organization, Elsevier, vol. 168(C), pages 374-392.
    11. Courtney C. Coile & Mark G. Duggan, 2019. "When Labor's Lost: Health, Family Life, Incarceration, and Education in a Time of Declining Economic Opportunity for Low-Skilled Men," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 191-210, Spring.
    12. Janet Currie & Hannes Schwandt, 2020. "The Opioid Epidemic Was Not Primarily Caused by Economic Distress But by Other Factors that Can be More Readily Addressed," Working Papers 2020-25, Princeton University. Economics Department..
    13. Powell, David & Pacula, Rosalie Liccardo & Taylor, Erin, 2020. "How increasing medical access to opioids contributes to the opioid epidemic: Evidence from Medicare Part D," Journal of Health Economics, Elsevier, vol. 71(C).
    14. David Beheshti, 2019. "Adverse health effects of abuse‐deterrent opioids: Evidence from the reformulation of OxyContin," Health Economics, John Wiley & Sons, Ltd., vol. 28(12), pages 1449-1461, December.
    15. Daniele, Gianmarco & Le Moglie, Marco & Masera, Federico, 2023. "Pains, guns and moves: The effect of the U.S. opioid epidemic on Mexican migration," Journal of Development Economics, Elsevier, vol. 160(C).
    16. Blanchflower, David G., 2020. "Unhappiness and age," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 461-488.
    17. Francisco Perez‐Arce & María J. Prados, 2021. "The Decline In The U.S. Labor Force Participation Rate: A Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 615-652, April.
    18. Schwandt, Hannes & Wachter, Till von, 2020. "Socioeconomic Decline and Death: Midlife Impacts of Graduating in a Recession," IZA Discussion Papers 12908, Institute of Labor Economics (IZA).
    19. Carolina Arteaga Cabrales & Victoria Barone, 2021. "The Opioid Epidemic: Causes and Consequences," Working Papers tecipa-698, University of Toronto, Department of Economics.
    20. Cohle, Zachary & Ortega, Alberto, 2023. "The effect of the opioid crisis on patenting," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 493-521.

    More about this item

    Keywords

    British Columbia; Canada; human capital; labor productivity; opioids; public health emergency; value of statistical life;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • I10 - Health, Education, and Welfare - - Health - - - General
    • J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    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:sae:anname:v:703:y:2022:i:1:p:303-323. 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: SAGE Publications (email available below). General contact details of provider: .

    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.