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A Zonal RUM Model to Value Recreation Sites with Aggregate Visitation Data

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  • Richard T. Melstrom
  • Carson Reeling

Abstract

This article develops a zonal random utility maximization (RUM) model of recreation demand from visitor counts and census data. In contrast, traditional RUM models of recreation demand use individual trip data collected through surveys. After demonstrating proof-of-concept with a Monte Carlo analysis, we apply the zonal RUM model to data on hunting and fishing trips. Our results confirm that the zonal model produces preference parameters and willingness-to-pay estimates close to those from the traditional model. The zonal RUM model provides a practical substitute to the traditional model in applications that lack access to individual data.

Suggested Citation

  • Richard T. Melstrom & Carson Reeling, 2024. "A Zonal RUM Model to Value Recreation Sites with Aggregate Visitation Data," Land Economics, University of Wisconsin Press, vol. 100(4), pages 589-605.
    • Handle: RePEc:uwp:landec:v:100:y:2024:i:4:p:589-605
    Note: DOI: https://doi.org/10.3368/le.100.4.121923-0135R
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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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