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Controlling for Observed and Unobserved Site Characteristics in RUM Models of Recreation Demand

Author

Listed:
  • Babatunde O. Abidoye
  • Joseph A. Herriges
  • Justin L. Tobias

Abstract

Recreation demand models are typically plagued by limited information on site attributes. If these unobserved site attributes are correlated with the observed characteristics and/or the travel cost variable, the resulting parameter estimates are likely to be biased. We develop a Bayesian approach to estimating a model that incorporates a full set of alternative-specific constants, insulating the key travel cost parameter from the influence of unobservables. The proposed posterior simulator can be used in the mixed logit framework in which some parameters of the conditional utility function are random. We apply the estimation procedures to data from the Iowa Lakes Project. Copyright 2012, Oxford University Press.

Suggested Citation

  • Babatunde O. Abidoye & Joseph A. Herriges & Justin L. Tobias, 2012. "Controlling for Observed and Unobserved Site Characteristics in RUM Models of Recreation Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(5), pages 1070-1093.
  • Handle: RePEc:oup:ajagec:v:94:y:2012:i:5:p:1070-1093
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    File URL: http://hdl.handle.net/10.1093/ajae/aas056
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    Cited by:

    1. David A. Keiser, 2018. "The Missing Benefits of Clean Water and the Role of Mismeasured Pollution," Center for Agricultural and Rural Development (CARD) Publications 18-wp581, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    2. Longo, Alberto & Hutchinson, W. George & Hunter, Ruth F. & Tully, Mark A. & Kee, Frank, 2015. "Demand response to improved walking infrastructure: A study into the economics of walking and health behaviour change," Social Science & Medicine, Elsevier, vol. 143(C), pages 107-116.
    3. Newbold, Stephen C. & Lindley, Sarah & Albeke, Shannon & Viers, Joshua & Parsons, George & Johnston, Robert, 2022. "Valuing Satellite Data for Harmful Algal Bloom Early Warning Systems," RFF Working Paper Series 22-23, Resources for the Future.
    4. Keiser, David A., 2018. "The Missing Benefits of Clean Water and the Role of Mismeasured Pollution," ISU General Staff Papers 201806290700001048, Iowa State University, Department of Economics.
    5. Babatunde Abidoye & Joseph Herriges, 2012. "Model Uncertainty in Characterizing Recreation Demand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(2), pages 251-277, October.
    6. Hocheol Jeon & Joseph A. Herriges, 2017. "Combining Revealed Preference Data with Stated Preference Data: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(4), pages 1053-1086, December.
    7. Odusola, Ayodele & Abidoye, Babatunde, "undated". "Effects of Temperature and Rainfall Shocks on Economic Growth in Africa," UNDP Africa Research Discussion Papers 267028, United Nations Development Programme (UNDP).
    8. repec:ags:aaea22:335687 is not listed on IDEAS
    9. Melstrom, Richard & Reeling, Carson, 2023. "Using aggregate trip data to value recreation sites: A comparison with individual-level methods," 2023 Annual Meeting, July 23-25, Washington D.C. 335687, Agricultural and Applied Economics Association.
    10. Richard T. Melstrom & Deshamithra H. W. Jayasekera, 2017. "Two-Stage Estimation to Control for Unobservables in a Recreation Demand Model with Unvisited Sites," Land Economics, University of Wisconsin Press, vol. 93(2), pages 328-341.
    11. repec:isu:genstf:201401010800005065 is not listed on IDEAS
    12. Melstrom, Richard & Lupi, Frank, 2012. "Using a Control Function to Resolve the Travel Cost Endogeneity Problem in Recreation Demand Models," MPRA Paper 48036, University Library of Munich, Germany, revised May 2013.
    13. Kuwayama, Yusuke & Olmstead, Sheila & Zheng, Jiameng, 2022. "A more comprehensive estimate of the value of water quality," Journal of Public Economics, Elsevier, vol. 207(C).
    14. Abidoye, Babatunde & Odusola, Ayodele, 2015. "Climate Change and Economic Growth in Africa: An Econometric Analysis," UNDP Africa Economists Working Papers 307336, United Nations Development Programme (UNDP).
    15. Gelo, Dambala & Turpie, Jane, 2021. "Bayesian analysis of demand for urban green space: A contingent valuation of developing a new urban park," Land Use Policy, Elsevier, vol. 109(C).

    More about this item

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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