[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/wvu/wpaper/22-06.html
   My bibliography  Save this paper

Willingness to pay for policies to reduce health risks from COVID-19: Evidence from U.S. professional sports

Author

Listed:
  • Brad R. Humphreys

    (West Virginia University, Department of Economics)

  • Gary A. Wagner

    (University of Louisiana at Lafayette)

  • John C. Whitehead

    (Appalachian State University)

  • Pamela Wicker

    (Bielefeld University)

Abstract
Airborne transmission of COVID-19 increased the need for health policies to reduce transmission in congregate settings associated with minimal risk before the pandemic. While a large literature estimates tradeoffs between policies designed to reduce negative health outcomes, no empirical research addresses consumer willingness to pay for health policies designed to reduce airborne virus transmission. Using survey data from 1,381 fans of professional sports teams, we estimate consumers’ willingness to pay (WTP) for reduced likelihood of coronavirus transmission through mask and social distancing policies using a stated preference approach. The results indicate increased attendance likelihood if the venue requires masks and limits attendance, with significant heterogeneity in WTP across risk scenarios and sports. We characterize consumers as casual fans who prefer a mask requirement but are indifferent to capacity constraints, strong fans who are anti-maskers and prefer capacity constraints, and a second group of casual fans with positive WTP under both mask and limited capacity requirements. Casual fans’ WTP for masking, $38 per NBA game attended, is more than double their WTP for capacity constraints only. Strong fans’ WTP for attending capacity constrained NBA games was $490, more than 400% higher than the pre-pandemic average WTP of $105.

Suggested Citation

  • Brad R. Humphreys & Gary A. Wagner & John C. Whitehead & Pamela Wicker, 2022. "Willingness to pay for policies to reduce health risks from COVID-19: Evidence from U.S. professional sports," Working Papers 22-06, Department of Economics, West Virginia University.
  • Handle: RePEc:wvu:wpaper:22-06
    as

    Download full text from publisher

    File URL: https://researchrepository.wvu.edu/cgi/viewcontent.cgi?article=1062&context=econ_working-papers
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bosworth, Ryan & Cameron, Trudy Ann & DeShazo, J.R., 2015. "Willingness to pay for public health policies to treat illnesses," Journal of Health Economics, Elsevier, vol. 39(C), pages 74-88.
    2. Carlin, Patrick R. & Minard, Paul & Simon, Daniel H. & Wing, Coady, 2021. "Effects of large gatherings on the COVID-19 epidemic: Evidence from professional and college sports," Economics & Human Biology, Elsevier, vol. 43(C).
    3. Jerrod M Penn & Wuyang Hu, 2018. "Understanding Hypothetical Bias: An Enhanced Meta-Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(4), pages 1186-1206.
    4. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    5. Daniel K. Lew & John C. Whitehead, 2020. "Attribute Non-attendance as an Information Processing Strategy in Stated Preference Choice Experiments: Origins, Current Practices, and Future Directions," Marine Resource Economics, University of Chicago Press, vol. 35(3), pages 285-317.
    6. Alexander Ahammer & Martin Halla & Mario Lackner, 2023. "Mass gatherings contributed to early COVID‐19 mortality: Evidence from US sports," Contemporary Economic Policy, Western Economic Association International, vol. 41(3), pages 471-488, July.
    7. Alexander Cardazzi & Brad Humphreys & Jane E. Ruseski & Brian P. Soebbing & Nicholas Watanabe, 2020. "Professional Sporting Events Increase Seasonal Influenza Mortality in US Cities," Working Papers 20-08, Department of Economics, West Virginia University.
    8. Karaivanov, Alexander & Lu, Shih En & Shigeoka, Hitoshi & Chen, Cong & Pamplona, Stephanie, 2021. "Face masks, public policies and slowing the spread of COVID-19: Evidence from Canada," Journal of Health Economics, Elsevier, vol. 78(C).
    9. Charles Stoecker & Nicholas J. Sanders & Alan Barreca, 2016. "Success Is Something to Sneeze At: Influenza Mortality in Cities that Participate in the Super Bowl," American Journal of Health Economics, MIT Press, vol. 2(1), pages 125-143, January.
    10. Charles Stoecker & Nicholas J. Sanders & Alan Barreca, 2016. "Success Is Something to Sneeze At: Influenza Mortality in Cities that Participate in the Super Bowl," American Journal of Health Economics, University of Chicago Press, vol. 2(1), pages 125-143, Winter.
    11. Cameron, Trudy Ann & DeShazo, J.R., 2013. "Demand for health risk reductions," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 87-109.
    12. Sonia Oreffice & Climent Quintana-Domeque, 2020. "COVID-19 Information and Demand for Protective Gear in the UK," Working Papers 2020-027, Human Capital and Economic Opportunity Working Group.
    13. Mandy Ryan & Karen Gerard & Gillian Currie, 2012. "Using Discrete Choice Experiments in Health Economics," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 41, Edward Elgar Publishing.
    14. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923, September.
    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. Todd McFall & John Whitehead, 2024. "Measuring the Impact of the COVID-19 Pandemic on Elite Swimming Performance," Journal of Sports Economics, , vol. 25(5), pages 634-656, June.

    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. Brad R. Humphreys & Gary A. Wagner & John C. Whitehead & Pamela Wicker, "undated". "Willingness to pay for COVID-19 environmental health risk reductions in consumption: Evidence from U.S. professional sports," Working Papers 21-05, Department of Economics, Appalachian State University.
    2. Fischer Kai, 2022. "Thinning out spectators: Did football matches contribute to the second COVID-19 wave in Germany?," German Economic Review, De Gruyter, vol. 23(4), pages 595-640, December.
    3. Mangrum, Daniel & Niekamp, Paul, 2022. "JUE Insight: College student travel contributed to local COVID-19 spread," Journal of Urban Economics, Elsevier, vol. 127(C).
    4. Hiroaki Funahashi & Shintaro Sato & Takuya Furukawa, 2022. "COVID-19 and Attendance Demand for Professional Sport in Japan: A Multilevel Analysis of Repeated Cross-Sectional National Data during the Pandemic," IJERPH, MDPI, vol. 19(9), pages 1-10, April.
    5. J. James Reade, 2023. "Large Sporting Events and Public Health and Safety," Economics Discussion Papers em-dp2023-04, Department of Economics, University of Reading.
    6. J. James Reade & Dominik Schreyer & Carl Singleton, 2022. "Eliminating supportive crowds reduces referee bias," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1416-1436, July.
    7. Carlin, Patrick R. & Minard, Paul & Simon, Daniel H. & Wing, Coady, 2021. "Effects of large gatherings on the COVID-19 epidemic: Evidence from professional and college sports," Economics & Human Biology, Elsevier, vol. 43(C).
    8. J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Echoes: what happens when football is played behind closed doors?," Economics Discussion Papers em-dp2020-14, Department of Economics, University of Reading.
    9. Hiroaki Funahashi & Alexander Cardazzi & Nicholas Masafumi Watanabe, 2023. "Mass Gathering Sport Events and the Spread of Viral Respiratory Infection: Japanese Professional Baseball and Influenza," Journal of Sports Economics, , vol. 24(5), pages 551-578, June.
    10. Vincenzo Alfano, 2022. "COVID-19 Diffusion Before Awareness: The Role of Football Match Attendance in Italy," Journal of Sports Economics, , vol. 23(5), pages 503-523, June.
    11. Matthew Olczak & J. James Reade & Matthew Yeo, 2020. "Mass Outdoor Events and the Spread of a Virus: English Football and Covid-19," Economics Discussion Papers em-dp2020-19, Department of Economics, University of Reading.
    12. Alexander Ahammer & Martin Halla & Mario Lackner, 2023. "Mass gatherings contributed to early COVID‐19 mortality: Evidence from US sports," Contemporary Economic Policy, Western Economic Association International, vol. 41(3), pages 471-488, July.
    13. Espinosa-Goded, María & Rodriguez-Entrena, Macario & Salazar-Ordóñez, Melania, 2021. "A straightforward diagnostic tool to identify attribute non-attendance in discrete choice experiments," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 211-226.
    14. Carl Singleton & Alex Bryson & Peter Dolton & James Reade & Dominik Schreyer, 2022. "Economics lessons from sports during the COVID-19 pandemic," Chapters, in: Paul M. Pedersen (ed.), Research Handbook on Sport and COVID-19, chapter 2, pages 9-18, Edward Elgar Publishing.
    15. Chavez, Daniel E. & Palma, Marco A. & Nayga, Rodolfo M. & Mjelde, James W., 2020. "Product availability in discrete choice experiments with private goods," Journal of choice modelling, Elsevier, vol. 36(C).
    16. John Buckell & Vrinda Vasavada & Sarah Wordsworth & Dean A. Regier & Matthew Quaife, 2022. "Utility maximization versus regret minimization in health choice behavior: Evidence from four datasets," Health Economics, John Wiley & Sons, Ltd., vol. 31(2), pages 363-381, February.
    17. Huls, Samare P.I. & de Bekker-Grob, Esther W., 2022. "Can healthcare choice be predicted using stated preference data? The role of model complexity in a discrete choice experiment about colorectal cancer screening," Social Science & Medicine, Elsevier, vol. 315(C).
    18. Phu Nguyen Van & Thierry Blayac & Dimitri Dubois & Sebastien Duchene & Marc Willinger & Bruno Ventelou, 2021. "Designing acceptable anti-COVID-19 policies by taking into account individuals’ preferences: evidence from a Discrete Choice Experiment," EconomiX Working Papers 2021-33, University of Paris Nanterre, EconomiX.
    19. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    20. Blayac, Thierry & Dubois, Dimitri & Duchêne, Sébastien & Nguyen-Van, Phu & Ventelou, Bruno & Willinger, Marc, 2022. "What drives the acceptability of restrictive health policies: An experimental assessment of individual preferences for anti-COVID 19 strategies," Economic Modelling, Elsevier, vol. 116(C).

    More about this item

    Keywords

    Discrete choice experiment; Stated preferences; Willingness-to-pay; Health policy;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Z20 - Other Special Topics - - Sports Economics - - - General

    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:wvu:wpaper:22-06. 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: Feng Yao (email available below). General contact details of provider: https://edirc.repec.org/data/dewvuus.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.