IDEAS home Printed from https://ideas.repec.org/p/rff/dpaper/dp-23-31.html
   My bibliography  Save this paper

Welfare Losses from Wildfire Smoke: Evidence from Daily Outdoor Recreation Data

Author

Listed:
  • Gellman, Jacob
  • Walls, Margaret A.

    (Resources for the Future)

  • Wibbenmeyer, Matthew

    (Resources for the Future)

Abstract

Wildfire smoke pollution is growing in the western United States. Estimates of its health impacts are numerous, but few revealed preference estimates of its damages exist. We study a setting where individuals are directly exposed to smoke, and avoidance behavior is measured with high frequency: outdoor recreation. We combine millions of administrative campground reservation records with satellite data on wildfire, smoke, and air pollution. These data are rich among most studies of recreation, with nearly 1,000 campgrounds and detailed individual-level observations. The data allow us to model sequential recreation decisions under evolving information using a novel control function approach. We estimate that wildfire smoke reduces welfare by $107 per person per trip. Damages are larger when campgrounds are affected by consecutive days of smoke and attenuated when smoke events are sufficiently far from active fires. In total, 21.5 million outdoor recreation visits in the western United States are affected by wildfire smoke every year, with annual welfare losses of approximately $2.3 billion. These findings contribute to a growing body of evidence on the costs of wildfire smoke.

Suggested Citation

  • Gellman, Jacob & Walls, Margaret A. & Wibbenmeyer, Matthew, 2023. "Welfare Losses from Wildfire Smoke: Evidence from Daily Outdoor Recreation Data," RFF Working Paper Series 23-31, Resources for the Future.
  • Handle: RePEc:rff:dpaper:dp-23-31
    as

    Download full text from publisher

    File URL: https://www.rff.org/documents/4100/WP_23-31.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David J Lewis & Steven J Dundas & David M Kling & Daniel K Lew & Sally D Hacker, 2019. "The non-market benefits of early and partial gains in managing threatened salmon," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-15, August.
    2. Loureiro, Maria L. & Alló, Maria & Coello, Pablo, 2022. "Hot in Twitter: Assessing the emotional impacts of wildfires with sentiment analysis," Ecological Economics, Elsevier, vol. 200(C).
    3. Parthum, Bryan & Christensen, Peter, 2022. "A market for snow: Modeling winter recreation patterns under current and future climate," Journal of Environmental Economics and Management, Elsevier, vol. 113(C).
    4. Frank Lupi & Daniel J. Phaneuf & Roger H. von Haefen, 2020. "Best Practices for Implementing Recreation Demand Models," Review of Environmental Economics and Policy, University of Chicago Press, vol. 14(2), pages 302-323.
    5. English, Eric & von Haefen, Roger H. & Herriges, Joseph & Leggett, Christopher & Lupi, Frank & McConnell, Kenneth & Welsh, Michael & Domanski, Adam & Meade, Norman, 2018. "Estimating the value of lost recreation days from the Deepwater Horizon oil spill," Journal of Environmental Economics and Management, Elsevier, vol. 91(C), pages 26-45.
    6. Gellman, Jacob & Walls, Margaret & Wibbenmeyer, Matthew, 2022. "Wildfire, smoke, and outdoor recreation in the western United States," Forest Policy and Economics, Elsevier, vol. 134(C).
    7. Jeff Wen & Marshall Burke, 2022. "Lower test scores from wildfire smoke exposure," Nature Sustainability, Nature, vol. 5(11), pages 947-955, November.
    8. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    9. Richardson, Leslie A. & Champ, Patricia A. & Loomis, John B., 2012. "The hidden cost of wildfires: Economic valuation of health effects of wildfire smoke exposure in Southern California," Journal of Forest Economics, Elsevier, vol. 18(1), pages 14-35.
    10. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    11. Joseph Terza, 2009. "Parametric Nonlinear Regression with Endogenous Switching," Econometric Reviews, Taylor & Francis Journals, vol. 28(6), pages 555-580.
    12. Leslie Richardson & John B. Loomis & Patricia A. Champ, 2013. "Valuing Morbidity from Wildfire Smoke Exposure: A Comparison of Revealed and Stated Preference Techniques," Land Economics, University of Wisconsin Press, vol. 89(1), pages 76-100.
    13. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    14. Shawn J. Mccoy & Xiaoxi Zhao, 2021. "Wildfire and infant health: a geospatial approach to estimating the health impacts of wildfire smoke exposure," Applied Economics Letters, Taylor & Francis Journals, vol. 28(1), pages 32-37, January.
    15. Mark Borgschulte & David Molitor & Eric Zou, 2022. "Air Pollution and the Labor Market: Evidence from Wildfire Smoke," NBER Working Papers 29952, National Bureau of Economic Research, Inc.
    16. Jeffrey M. Wooldridge, 2015. "Control Function Methods in Applied Econometrics," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 420-445.
    17. Steven J. Dundas & Roger H. von Haefen, 2020. "The Effects of Weather on Recreational Fishing Demand and Adaptation: Implications for a Changing Climate," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 7(2), pages 209-242.
    18. 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.
    19. Marshall Burke & Sam Heft-Neal & Jessica Li & Anne Driscoll & Patrick Baylis & Matthieu Stigler & Joakim A. Weill & Jennifer A. Burney & Jeff Wen & Marissa L. Childs & Carlos F. Gould, 2022. "Exposures and behavioural responses to wildfire smoke," Nature Human Behaviour, Nature, vol. 6(10), pages 1351-1361, October.
    20. Trudy Ann Cameron & Sonja H. Kolstoe, 2022. "Using Auxiliary Population Samples for Sample-Selection Correction in Models Based on Crowd-Sourced Volunteered Geographic Information," Land Economics, University of Wisconsin Press, vol. 98(1), pages 1-21.
    21. Rosana Aguilera & Thomas Corringham & Alexander Gershunov & Tarik Benmarhnia, 2021. "Wildfire smoke impacts respiratory health more than fine particles from other sources: observational evidence from Southern California," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    22. Kolstoe, Sonja & Cameron, Trudy Ann, 2017. "The Non-market Value of Birding Sites and the Marginal Value of Additional Species: Biodiversity in a Random Utility Model of Site Choice by eBird Members," Ecological Economics, Elsevier, vol. 137(C), pages 1-12.
    23. Patrick Baylis & Judson Boomhower, 2023. "The Economic Incidence of Wildfire Suppression in the United States," American Economic Journal: Applied Economics, American Economic Association, vol. 15(1), pages 442-473, January.
    24. Jordan W. Smith & Emily J. Wilkins & Yu-Fai Leung, 2019. "Attendance trends threaten future operations of America’s state park systems," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(26), pages 12775-12780, June.
    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. Patrick Lloyd-Smith & Ewa Zawojska, 2024. "How stable and predictable are welfare estimates using recreation demand models?," Working Papers 2024-05, Faculty of Economic Sciences, University of Warsaw.

    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. Kolstoe, Sonja & Naald, Brian Vander & Cohan, Alison, 2022. "A tale of two samples: Understanding WTP differences in the age of social media," Ecosystem Services, Elsevier, vol. 55(C).
    2. Tharaka A. Jayalath & Patrick Lloyd-Smith & Marcus Becker, 2023. "Biodiversity Benefits of Birdwatching Using Citizen Science Data and Individualized Recreational Demand Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(1), pages 83-107, October.
    3. Trudy Ann Cameron & Sonja H. Kolstoe, 2022. "Using Auxiliary Population Samples for Sample-Selection Correction in Models Based on Crowd-Sourced Volunteered Geographic Information," Land Economics, University of Wisconsin Press, vol. 98(1), pages 1-21.
    4. David J Lewis & Steven J Dundas & David M Kling & Daniel K Lew & Sally D Hacker, 2019. "The non-market benefits of early and partial gains in managing threatened salmon," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-15, August.
    5. Ran Du & Qiyun Fang & Ke Liu, 2023. "Landscape Fire and Entrepreneurial Activity: An Empirical Study Based on Satellite Monitoring Data," Land, MDPI, vol. 12(7), pages 1-22, July.
    6. Steven J. Dundas & Roger H. von Haefen, 2021. "The importance of data structure and nonlinearities in estimating climate impacts on outdoor recreation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2053-2075, July.
    7. Lewis, David J. & Kling, David M. & Dundas, Steven J. & Lew, Daniel K., 2022. "Estimating the value of threatened species abundance dynamics," Journal of Environmental Economics and Management, Elsevier, vol. 113(C).
    8. Tovar, Jorge, 2012. "Consumers’ Welfare and Trade Liberalization: Evidence from the Car Industry in Colombia," World Development, Elsevier, vol. 40(4), pages 808-820.
    9. Pereira, Pedro & Ribeiro, Tiago, 2011. "The impact on broadband access to the Internet of the dual ownership of telephone and cable networks," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 283-293, March.
    10. Kesternich, Iris & Heiss, Florian & McFadden, Daniel & Winter, Joachim, 2013. "Suit the action to the word, the word to the action: Hypothetical choices and real decisions in Medicare Part D," Journal of Health Economics, Elsevier, vol. 32(6), pages 1313-1324.
    11. Mattia Girotti & Richard Meade, 2017. "U.S. Savings Banks' Demutualization and Depositor Welfare," Working Papers 2017-08, Auckland University of Technology, Department of Economics.
    12. Ligthart, Jenny E. & Werner, Sebastian E.V., 2012. "Has the euro affected the choice of invoicing currency?," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1551-1573.
    13. Carpentier, Alain & Letort, Elodie, 2009. "Modeling acreage decisions within the multinomial Logit framework," Working Papers 211011, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    14. Roy Allen & John Rehbeck, 2020. "Identification of Random Coefficient Latent Utility Models," Papers 2003.00276, arXiv.org.
    15. Philip G. Gayle, 2013. "On the Efficiency of Codeshare Contracts between Airlines: Is Double Marginalization Eliminated?," American Economic Journal: Microeconomics, American Economic Association, vol. 5(4), pages 244-273, November.
    16. Hugo Padrón-Ávila & Raúl Hernández-Martín, 2019. "Preventing Overtourism by Identifying the Determinants of Tourists’ Choice of Attractions," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    17. Rachel Griffith & Lars Nesheim & Martin O'Connell, 2018. "Income effects and the welfare consequences of tax in differentiated product oligopoly," Quantitative Economics, Econometric Society, vol. 9(1), pages 305-341, March.
    18. Ruben Loon & Tom Gosens & Jan Rouwendal, 2014. "Cultural heritage and the attractiveness of cities: evidence from recreation trips," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(3), pages 253-285, August.
    19. Jan De Loecker & Paul T. Scott, 2016. "Estimating market power Evidence from the US Brewing Industry," NBER Working Papers 22957, National Bureau of Economic Research, Inc.
    20. Babatunde O. Abidoye & Joseph A. Herriges & Justin L. Tobias, 2012. "Controlling for Observed and Unobserved Site Characteristics in RUM Models of Recreation Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(5), pages 1070-1093.

    More about this item

    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:rff:dpaper:dp-23-31. 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: Resources for the Future (email available below). General contact details of provider: https://edirc.repec.org/data/rffffus.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.