IDEAS home Printed from https://ideas.repec.org/a/ucp/mresec/doi10.1086-686892.html
   My bibliography  Save this article

Addressing Onsite Sampling in Analysis of Recreation Demand: Economic Value and Impact of Visitation to Cape Hatteras National Seashore

Author

Listed:
  • Craig E. Landry
  • Alyson R. Lewis
  • Haiyong Liu
  • Hans Vogelsong

Abstract

This article presents a unified approach to correcting for avidity bias due to onsite sampling in estimation of descriptive statistics and recreation demand. We extend the Shaw (1988) correction for avidity bias in demand modeling to the Generalized Negative Binomial model, and we demonstrate the effects of avidity bias on descriptive statistics. Correcting for avidity bias in recreation demand lowers welfare estimates, which are still, however, quite large at $403/household, per trip (2002 USD). Correcting expenditure estimates increases economic impact by 17%, reflecting greater magnitude in spending patterns of less avid users that live further from Cape Hatteras National Seashore.

Suggested Citation

  • Craig E. Landry & Alyson R. Lewis & Haiyong Liu & Hans Vogelsong, 2016. "Addressing Onsite Sampling in Analysis of Recreation Demand: Economic Value and Impact of Visitation to Cape Hatteras National Seashore," Marine Resource Economics, University of Chicago Press, vol. 31(3), pages 301-322.
    • Handle: RePEc:ucp:mresec:doi:10.1086/686892
    DOI: 10.1086/686892
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/686892
    Download Restriction: Access to the online full text or PDF requires a subscription.
    File URL: http://dx.doi.org/10.1086/686892
    Download Restriction: Access to the online full text or PDF requires a subscription.
    File URL: https://libkey.io/10.1086/686892?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Timothy C. Haab & Kenneth E. McConnell, 2002. "Valuing Environmental and Natural Resources," Books, Edward Elgar Publishing, number 2427.
    2. Shaw, Daigee, 1988. "On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification," Journal of Econometrics, Elsevier, vol. 37(2), pages 211-223, February.
    3. Hindsley, Paul & Landry, Craig E. & Gentner, Brad, 2011. "Addressing onsite sampling in recreation site choice models," Journal of Environmental Economics and Management, Elsevier, vol. 62(1), pages 95-110, July.
    4. Englin Jeffrey & Shonkwiler J. S., 1995. "Modeling Recreation Demand in the Presence of Unobservable Travel Costs: Toward a Travel Price Model," Journal of Environmental Economics and Management, Elsevier, vol. 29(3), pages 368-377, November.
    5. von Haefen, Roger H., 2002. "A Complete Characterization Of The Linear, Log-Linear, And Semi-Log Incomplete Demand System Models," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-39, December.
    6. Daniel K. Lew & Chang K. Seung, 2014. "On the Statistical Significance of Regional Economic Impacts from Recreational Fishing Harvest Limits in Southern Alaska," Marine Resource Economics, University of Chicago Press, vol. 29(3), pages 241-257.
    7. John Whitehead & Daniel Phaneuf & Christopher Dumas & Jim Herstine & Jeffery Hill & Bob Buerger, 2010. "Convergent Validity of Revealed and Stated Recreation Behavior with Quality Change: A Comparison of Multiple and Single Site Demands," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(1), pages 91-112, January.
    8. Blackwell, Boyd, 2007. "The Value of a Recreational Beach Visit: An Application to Mooloolaba Beach and Comparisons with other Outdoor Recreation Sites," Economic Analysis and Policy, Elsevier, vol. 37(1), pages 77-98, March.
    9. Landry, Craig E. & Liu, Haiyong, 2009. "A semi-parametric estimator for revealed and stated preference data--An application to recreational beach visitation," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 205-218, March.
    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. Ehrlich, Oren & Bi, Xiang & Borisova, Tatiana & Larkin, Sherry, 2017. "A latent class analysis of public attitudes toward water resources with implications for recreational demand," Ecosystem Services, Elsevier, vol. 28(PA), pages 124-132.
    2. Ian B. Page & Erik Lichtenberg & Monica Saavoss, 2020. "Estimating Willingness to Pay from Count Data When Survey Responses are Rounded," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(3), pages 657-675, March.
    3. Follett, Lendie & Naald, Brian Vander, 2023. "Heterogeneity in choice experiment data: A Bayesian investigation," Journal of choice modelling, Elsevier, vol. 46(C).
    4. Iliopoulou, Christina & Kepaptsoglou, Konstantinos & Schinas, Orestis, 2018. "Energy supply security for the Aegean islands: A routing model with risk and environmental considerations," Energy Policy, Elsevier, vol. 113(C), pages 608-620.

    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. Cetin, Nuket Ipek & Bourget, Gulhan & Tezer, Azime, 2021. "Travel-cost method for assessing the monetary value of recreational services in the Ömerli Catchment," Ecological Economics, Elsevier, vol. 190(C).
    2. Pascoe, Sean, 2019. "Recreational beach use values with multiple activities," Ecological Economics, Elsevier, vol. 160(C), pages 137-144.
    3. Simões, Paula & Barata, Eduardo & Cruz, Luís, 2013. "Joint estimation using revealed and stated preference data: An application using a national forest," Journal of Forest Economics, Elsevier, vol. 19(3), pages 249-266.
    4. Raju Mandal & Subrata Barman & M. P. Bezbaruah, 2014. "Economic Valuation for a better Conservation: A Case Study of Kaziranga National Park, India," Working Papers 1410, Sam Houston State University, Department of Economics and International Business.
    5. Zhang, Fan & Wang, Xiao Hua & Nunes, Paulo A.L.D. & Ma, Chunbo, 2015. "The recreational value of gold coast beaches, Australia: An application of the travel cost method," Ecosystem Services, Elsevier, vol. 11(C), pages 106-114.
    6. Chin†Huang Huang, 2017. "Estimating the environmental effects and recreational benefits of cultivated flower land for environmental quality improvement in Taiwan," Agricultural Economics, International Association of Agricultural Economists, vol. 48(1), pages 29-39, January.
    7. Chin-Huang Huang & Chiung-Hsia Wang, 2015. "Estimating the Total Economic Value of Cultivated Flower Land in Taiwan," Sustainability, MDPI, vol. 7(4), pages 1-19, April.
    8. Anna Bartczak & Jeffrey Englin & Arwin Pang, 2012. "When are Forest Visits Valued the Most? An Analysis of the Seasonal Demand for Forest Recreation in Poland," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 52(2), pages 249-264, June.
    9. Mikołaj Czajkowski & Marek Giergiczny & Jakub Kronenberg & Jeffrey Englin, 2019. "The Individual Travel Cost Method with Consumer-Specific Values of Travel Time Savings," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 961-984, November.
    10. Yoon Lee & Hwansuk Kim & Yongsuk Hong, 2016. "Revealed Preference and Effectiveness of Public Investment in Ecological River Restoration Projects: An Application of the Count Data Model," Sustainability, MDPI, vol. 8(4), pages 1-13, April.
    11. Roberto Martinez-Espineira & Joe Amoako-Tuffour, 2005. "Recreation Demand Analysis under Truncation, Overdispersion, and Endogenous Stratification: An Application to Gros Morne National Park," Econometrics 0511007, University Library of Munich, Germany.
    12. Beaumais, Olivier & Appéré, Gildas, 2010. "Recreational shellfish harvesting and health risks: A pseudo-panel approach combining revealed and stated preference data with correction for on-site sampling," Ecological Economics, Elsevier, vol. 69(12), pages 2315-2322, October.
    13. Massimo Filippini & William Greene & Adan L. Martinez-Cruz, 2018. "Non-market Value of Winter Outdoor Recreation in the Swiss Alps: The Case of Val Bedretto," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(3), pages 729-754, November.
    14. Prayaga, Prabha, 2017. "Estimating the value of beach recreation for locals in the Great Barrier Reef Marine Park, Australia," Economic Analysis and Policy, Elsevier, vol. 53(C), pages 9-18.
    15. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761, Elsevier.
    16. Amoako-Tuffour, Joe & Martınez-Espineira, Roberto, 2008. "Leisure and the Opportunity Cost of Travel Time in Recreation Demand Analysis: A Re-Examination," MPRA Paper 8573, University Library of Munich, Germany.
    17. Bowker, James Michael & Starbuck, C. Meghan & English, Donald B.K. & Bergstrom, John C. & Rosenberger, Randall S. & McCollum, Daniel W., 2009. "Estimating the Net Economic Value of National Forest Recreation: An Application of the National Visitor Use Monitoring Database," Faculty Series 59603, University of Georgia, Department of Agricultural and Applied Economics.
    18. Landry, Craig E. & Shonkwiler, J. Scott & Whitehead, John C., 2020. "Economic Values of Coastal Erosion Management: Joint Estimation of Use and Existence Values with recreation demand and contingent valuation data," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    19. John A. Curtis, 2002. "Estimating the Demand for Salmon Angling in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 33(3), pages 319-332.
    20. Crooker, John R., 2007. "Nonparametric Bounds on Welfare with Measurement Error in Prices: Techniques for Non-Market Resource Valuation," Agricultural and Resource Economics Review, Cambridge University Press, vol. 36(2), pages 239-252, October.

    More about this item

    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:ucp:mresec:doi:10.1086/686892. 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: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/MRE .

    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.