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The Effect of Nesting Structure Specification on Welfare Estimation in a Random Utility Model of Recreation Demand: An Application to the Demand for Recreational Fishing

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  • A. Brett Hauber
  • George R. Parsons

Abstract

Nested logit has become common in estimating random utility models of recreation demand. Because welfare analysis is often the objective of estimating these models, it seems natural to ask, what effect does the choice of nesting structure have on the welfare estimates generated by these models? Therefore, we compare the results of nine nesting structures andfindthat the variation in welfare estimates across the models is not large. Our results are contrary to those of Kling and Thomson and Shaw and Ozog. The difference appears to originate with differences in the estimated dissimilarity coefficients in the nested models. Copyright 2000, Oxford University Press.

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  • A. Brett Hauber & George R. Parsons, 2000. "The Effect of Nesting Structure Specification on Welfare Estimation in a Random Utility Model of Recreation Demand: An Application to the Demand for Recreational Fishing," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(3), pages 501-514.
    • Handle: RePEc:oup:ajagec:v:82:y:2000:i:3:p:501-514
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    File URL: http://hdl.handle.net/10.1111/0002-9092.00042
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    Cited by:

    1. Hunt, Len M. & Boxall, Peter & Englin, Jeffrey & Haider, Wolfgang, 2005. "Remote tourism and forest management: a spatial hedonic analysis," Ecological Economics, Elsevier, vol. 53(1), pages 101-113, April.
    2. Livy, Mitchell R. & Klaiber, H. Allen, 2014. "Preference Tradeoffs Across Spatial Scales: Developing a Micro Level Sorting Model," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169990, Agricultural and Applied Economics Association.
    3. Steven J. Dundas & Roger H. von Haefen, 2020. "The Effects of Weather on Recreational Fishing Demand and Adaptation: Implications for a Changing Climate," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 7(2), pages 209-242.
    4. Rolfe, John & Prayaga, Prabha, 2006. "Estimating Values for Recreational Fishing at Freshwater Dams in Queensland," 2006 Conference (50th), February 8-10, 2006, Sydney, Australia 139896, Australian Agricultural and Resource Economics Society.
    5. Pamela Katic, 2015. "Groundwater Spatial Dynamics and Endogenous Well Location," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(1), pages 181-196, January.
    6. Bujosa, Angel & Riera, Antoni & Torres, Catalina M., 2015. "Valuing tourism demand attributes to guide climate change adaptation measures efficiently: The case of the Spanish domestic travel market," Tourism Management, Elsevier, vol. 47(C), pages 233-239.
    7. Farr, Marina & Stoeckl, Natalie & Sutton, Stephen, 2014. "Recreational fishing and boating: Are the determinants the same?," Marine Policy, Elsevier, vol. 47(C), pages 126-137.
    8. Chang, Hung-Hao & Boisvert, Richard N., 2005. "Are Farmers' Decisions to Work off the Farm and Participate in the Conservation Reserve Program Independent, Joint or Sequential?," 2005 Annual meeting, July 24-27, Providence, RI 19474, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. van Lin, Arjen & Gijsbrechts, Els, 2016. "The battle for health and beauty: What drives supermarket and drugstore category-promotion lifts?," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 557-577.
    10. Bhattacharyya, Aditi & Kutlu, Levent & Sickles, Robin C., 2018. "Pricing Inputs and Outputs: Market prices versus shadow prices, market power, and welfare analysis," Working Papers 18-009, Rice University, Department of Economics.
    11. W. Bowman Cutter & Linwood Pendleton & J. R. DeShazo, 2007. "Activities in Models of Recreational Demand," Land Economics, University of Wisconsin Press, vol. 83(3), pages 370-381.
    12. Shaikh, Sabina L. & Larson, Douglas M., 2001. "Decision Sequence in the Nested-Logit Model of Recreation Choice: An Application to Oregon Marine Sport Fishing (DRAFT)," 2001 Annual meeting, August 5-8, Chicago, IL 20761, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Sturla F. Kvamsdal & Ivan Belik & Arnt Ove Hopland & Yuanhao Li, 2021. "A Machine Learning Analysis of the Recent Environmental and Resource Economics Literature," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(1), pages 93-115, May.
    14. Macours, Karen, 2014. "Ethnic divisions, contract choice, and search costs in the Guatemalan land rental market," Journal of Comparative Economics, Elsevier, vol. 42(1), pages 1-18.
    15. Hicks, Robert L., 2002. "A Comparison Of Stated And Revealed Preference Methods For Fisheries Management," 2002 Annual meeting, July 28-31, Long Beach, CA 19853, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761, Elsevier.
    17. Dundas, Steven J. & von Haefen, Roger H., 2015. "Weather Effects on the Demand for Coastal Recreational Fishing: Implications for a Changing Climate," CEnREP Working Papers 264980, North Carolina State University, Department of Agricultural and Resource Economics.

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