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Hedonic Onsight Cost Model of Recreation Demand

Author

Listed:
  • Craig E. Landry
  • Kenneth E. McConnell

Abstract

For many recreational activities onsite pecuniary costs can be a significant portion of the cost of a recreational trip. Onsite expenditures, however, often depend upon endogenous quality choices made by the household. We formulate a recreation demand model that formally accounts for household selection of quality of onsite time. Household behavior is constrained by income, prices, and the onsite hedonic price schedule. Assuming complete optimization, a reduced form Marshallian demand curve for recreation trips still results and a specialized version of Roy’s Identity provides a basis for welfare analysis. Instrumenting for endogenous quality choices does not improve demand estimation.

Suggested Citation

  • Craig E. Landry & Kenneth E. McConnell, 2007. "Hedonic Onsight Cost Model of Recreation Demand," Land Economics, University of Wisconsin Press, vol. 83(2), pages 253-267.
    • Handle: RePEc:uwp:landec:v:83:y:2007:i:2:p:253-267
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    References listed on IDEAS

    as
    1. John R. McKean & Richard G. Walsh & Donn M. Johnson, 1996. "Closely Related Good Prices in the Travel Cost Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 640-646.
    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. Timothy C. Haab & Kenneth E. McConnell, 2002. "Valuing Environmental and Natural Resources," Books, Edward Elgar Publishing, number 2427.
    4. Bartik, Timothy J, 1987. "The Estimation of Demand Parameters in Hedonic Price Models," Journal of Political Economy, University of Chicago Press, vol. 95(1), pages 81-88, February.
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    Cited by:

    1. Kono, Tatsuhito & Yoshida, Jun, 2020. "Travel Cost Method Considering Trip-day Counts as Integers," MPRA Paper 99244, University Library of Munich, Germany.
    2. 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.
    3. 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.
    4. 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.

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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
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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