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Endogenous On-Site Time in the Recreation Demand Model

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  • Matthew D. Berman
  • Hong Jin Kim

Abstract

Careful modeling of on-site time may substantially improve estimates of the benefits of recreational visits using the travel cost method, especially when on-site time is endogenous. This paper reviews the theory of endogenous on-site time, and shows how the theory may apply to the Random Utility Model (RUM). An empirical example of a two-level, nested-choice model of sport fishing in southcentral Alaska illustrates a discussion of the relative advantages of the different ways to specify endogenous onsite time.

Suggested Citation

  • Matthew D. Berman & Hong Jin Kim, 1999. "Endogenous On-Site Time in the Recreation Demand Model," Land Economics, University of Wisconsin Press, vol. 75(4), pages 603-619.
    • Handle: RePEc:uwp:landec:v:75:y:1999:i:4:p:603-619
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    Citations

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    Cited by:

    1. 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.
    2. Wynen, Jan, 2013. "Explaining travel distance during same-day visits," Tourism Management, Elsevier, vol. 36(C), pages 133-140.
    3. Kono, Tatsuhito & Yoshida, Jun, 2020. "Travel Cost Method Considering Trip-day Counts as Integers," MPRA Paper 106188, University Library of Munich, Germany, revised 18 Feb 2021.
    4. Hellström, Jörgen & Nordström, Jonas, 2012. "Demand and welfare effects in recreational travel models: Accounting for substitution between number of trips and days to stay," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 446-456.
    5. Hellström, Jörgen & Nordström, Jonas, 2005. "Demand and Welfare Effects in Recreational Travel Models: A Bivariate Count Data Approach," Umeå Economic Studies 648, Umeå University, Department of Economics.
    6. Jörgen Hellström & Jonas Nordström, 2008. "A count data model with endogenous household specific censoring: the number of nights to stay," Empirical Economics, Springer, vol. 35(1), pages 179-192, August.
    7. Jörgen Hellström, 2006. "A bivariate count data model for household tourism demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 213-226.

    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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