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Recreation Demand Using Physical Measures Of Water Quality

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  • Herriges, Joseph A.
  • Egan, Kevin J.
  • Kling, Catherine L.
  • Downing, John A.

Abstract

This paper incorporates a rich set of physical water quality attributes, as well as site and household characteristics, into a model of recreational lake usage in Iowa. Our analysis shows individuals are responsive to physical water quality measures. Willingness-to-pay estimates are reported based on improvements in these measures.

Suggested Citation

  • Herriges, Joseph A. & Egan, Kevin J. & Kling, Catherine L. & Downing, John A., 2004. "Recreation Demand Using Physical Measures Of Water Quality," Hebrew University of Jerusalem Archive 18496, Hebrew University of Jerusalem.
    • Handle: RePEc:ags:hebarc:18496
    DOI: 10.22004/ag.econ.18496
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    References listed on IDEAS

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    1. Michael D. Creel & John B. Loomis, 1990. "Theoretical and Empirical Advantages of Truncated Count Data Estimators for Analysis of Deer Hunting in California," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 434-441.
    2. Daniel J. Phaneuf & Catherine L. Kling & Joseph A. Herriges, 2000. "Estimation and Welfare Calculations in a Generalized Corner Solution Model with an Application to Recreation Demand," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 83-92, February.
    3. Joseph A. Herriges & Daniel J. Phaneuf, 2002. "Inducing Patterns of Correlation and Substitution in Repeated Logit Models of Recreation Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1076-1090.
    4. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
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