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Aggregation Bias in Recreation Site Choice Models: Resolving the Resolution Problem

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  • M. K. Haener
  • P. C. Boxall
  • W. L. Adamowicz
  • D. H. Kuhnke

Abstract

This paper examines the effect of differing levels of spatial resolution on recreation site choice models and welfare resulting from changes in site attributes. These issues are important where the spatial scale at which recreationists make choices is unknown, but information exists on choice attributes at larger spatial scales. We estimate choice models at various scales of spatial resolution and incorporate the size of the aggregate sites and heterogeneity parameters in the model. Accounting for the size of the aggregates in estimation improved model fit and alleviated aggregate parameter bias. We provide advice for applied modeling based on these results.

Suggested Citation

  • M. K. Haener & P. C. Boxall & W. L. Adamowicz & D. H. Kuhnke, 2004. "Aggregation Bias in Recreation Site Choice Models: Resolving the Resolution Problem," Land Economics, University of Wisconsin Press, vol. 80(4).
    • Handle: RePEc:uwp:landec:v:80:y:2004:i:4:p561-574
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    1. Yoshiaki Kaoru & V. Kerry Smith & Jin Long Liu, 1995. "Using Random Utility Models to Estimate the Recreational Value of Estuarine Resources," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 141-151.
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    4. M. K. Haener & P. C. Boxall & W. L. Adamowicz, 2001. "Modeling Recreation Site Choice: Do Hypothetical Choices Reflect Actual Behavior?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 629-642.
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    1. Bujosa Bestard, Angel & Font, Antoni Riera, 2009. "Environmental diversity in recreational choice modelling," Ecological Economics, Elsevier, vol. 68(11), pages 2743-2750, September.
    2. 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).
    3. Richard C. Bishop & Kevin J. Boyle, 2019. "Reliability and Validity in Nonmarket Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(2), pages 559-582, February.
    4. Riera, Pere & Signorello, Giovanni & Thiene, Mara & Mahieu, Pierre-Alexandre & Navrud, Ståle & Kaval, Pamela & Rulleau, Benedicte & Mavsar, Robert & Madureira, Lívia & Meyerhoff, Jürgen & Elsasser, Pe, 2012. "Non-market valuation of forest goods and services: Good practice guidelines," Journal of Forest Economics, Elsevier, vol. 18(4), pages 259-270.
    5. von Haefen, Roger H. & Domanski, Adam, 2018. "Estimation and welfare analysis from mixed logit models with large choice sets," Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 101-118.
    6. Kunhikrishnan, Parthan & Srinivasan, Karthik K., 2018. "Investigating behavioral differences in the choice of distinct Intermediate Public Transport (IPT) modes for work trips in Chennai city," Transport Policy, Elsevier, vol. 61(C), pages 111-122.
    7. Hwa Nyeon Kim & W. Douglass Shaw & Richard T. Woodward, 2007. "The Distributional Impacts of Recreational Fees: A Discrete Choice Model with Incomplete Data," Land Economics, University of Wisconsin Press, vol. 83(4), pages 561-574.
    8. Knoche, Scott & Lupi, Frank & Suiter, Ashley, 2015. "Harvesting benefits from habitat restoration: Influence of landscape position on economic benefits to pheasant hunters," Ecological Economics, Elsevier, vol. 113(C), pages 97-105.
    9. Backstrom, Jesse D. & Woodward, Richard T., 2017. "Using Qualitative Site Characteristics Data in Marine Recreational Fishing Models: A New Site Aggregation Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258276, Agricultural and Applied Economics Association.
    10. Marianne Zandersen & Mette Termansen & Frank Søndergaard Jensen, 2007. "Testing Benefits Transfer of Forest Recreation Values over a Twenty-Year Time Horizon," Land Economics, University of Wisconsin Press, vol. 83(3), pages 412-440.
    11. 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.
    12. Yongjie Ji & Joseph A. Herriges & Catherine L. Kling, 2016. "Modeling Recreation Demand When the Access Point Is Unknown," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(3), pages 860-880.
    13. Chen, Min & Lupi, Frank, 2013. "Modeling Long Overnight Trips by Chaining Recreation Sites," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150489, Agricultural and Applied Economics Association.
    14. Shiva Habibi & Emma Frejinger & Marcus Sundberg, 2019. "An empirical study on aggregation of alternatives and its influence on prediction in car type choice models," Transportation, Springer, vol. 46(3), pages 563-582, June.
    15. Yip, Arthur H.C. & Michalek, Jeremy J. & Whitefoot, Kate S., 2018. "On the implications of using composite vehicles in choice model prediction," Transportation Research Part B: Methodological, Elsevier, vol. 116(C), pages 163-188.

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    More about this item

    JEL classification:

    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources

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