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On the Aggregate Value of Recreational Activities: A Nested Price Index Approach Using Poisson Demand Systems

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  • Janet Lutz*
  • Jeffrey Englin
  • J. Shonkwiler

Abstract

An important consideration in the development ofregulations and policies that administer naturalresources in an area is the value of the non-marketactivities supported by those lands. Little attentionhas been paid to the aggregate value of largegeographic areas. This analysis builds autility-theoretic price index and utilizes this indexto estimate an aggregate Poisson demand to valuebackcountry recreational hiking opportunities innorthern California. Copyright Kluwer Academic Publishers 2000

Suggested Citation

  • Janet Lutz* & Jeffrey Englin & J. Shonkwiler, 2000. "On the Aggregate Value of Recreational Activities: A Nested Price Index Approach Using Poisson Demand Systems," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 15(3), pages 217-226, March.
  • Handle: RePEc:kap:enreec:v:15:y:2000:i:3:p:217-226
    DOI: 10.1023/A:1008396728940
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    References listed on IDEAS

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    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. Englin, Jeffrey & Shonkwiler, J S, 1995. "Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 104-112, February.
    6. Feather Peter & Hellerstein Daniel & Tomasi Theodore, 1995. "A Discrete-Count Model of Recreational Demand," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 214-227, September.
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    9. Parsons George R. & Kealy Mary Jo, 1995. "A Demand Theory for Number of Trips in a Random Utility Model of Recreation," Journal of Environmental Economics and Management, Elsevier, vol. 29(3), pages 357-367, November.
    10. Alan Randall, 1994. "Difficulty with the Travel Cost Method," Land Economics, University of Wisconsin Press, vol. 70(1), pages 88-96.
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    Cited by:

    1. John Cullinan & Stephen Hynes & Cathal O’Donoghue, 2008. "Aggregating Consumer Surplus Values in Travel Cost Modelling Using Spatial Microsimulation and GIS Techniques," Working Papers 0807, Rural Economy and Development Programme,Teagasc.
    2. Bujosa Bestard, Angel & Riera Font, Antoni, 2010. "Estimating the aggregate value of forest recreation in a regional context," Journal of Forest Economics, Elsevier, vol. 16(3), pages 205-216, August.
    3. John Cullinan, 2011. "A Spatial Microsimulation Approach to Estimating the Total Number and Economic Value of Site Visits in Travel Cost Modelling," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 27-47, September.
    4. Moeltner, Klaus, 2003. "Addressing aggregation bias in zonal recreation models," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 128-144, January.

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