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Endogenous On-Site Time In The Recreation Demand Model

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  • Berman, Matthew D.
  • Kim, Hong Jin

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 sport fishing in Southcentral Alaska under varying specifications of on-site time is presented.

Suggested Citation

  • Berman, Matthew D. & Kim, Hong Jin, 1999. "Endogenous On-Site Time In The Recreation Demand Model," 1999 Annual meeting, August 8-11, Nashville, TN 21616, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea99:21616
    DOI: 10.22004/ag.econ.21616
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    References listed on IDEAS

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    1. Herbert Mohring & John Schroeter & Paitoon Wiboonchutikula, 1987. "The Values of Waiting Time, Travel Time, and a Seat on a Bus," RAND Journal of Economics, The RAND Corporation, vol. 18(1), pages 40-56, Spring.
    2. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, January.
    3. Nancy E. Bockstael & Ivar E. Strand & W. Michael Hanemann, 1987. "Time and the Recreational Demand Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(2), pages 293-302.
    4. K. E. McConnell, 1992. "On-Site Time in the Demand for Recreation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 918-925.
    5. W. Douglass Shaw, 1992. "Searching for the Opportunity Cost of an Individual's Time," Land Economics, University of Wisconsin Press, vol. 68(1), pages 107-115.
    6. McConnell K. E., 1995. "Consumer Surplus from Discrete Choice Models," Journal of Environmental Economics and Management, Elsevier, vol. 29(3), pages 263-270, November.
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    Cited by:

    1. 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.
    2. Kono, Tatsuhito & Yoshida, Jun, 2020. "Travel Cost Method Considering Trip-day Counts as Integers," MPRA Paper 99244, University Library of Munich, Germany.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Wynen, Jan, 2013. "Explaining travel distance during same-day visits," Tourism Management, Elsevier, vol. 36(C), pages 133-140.

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