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Monitoring Choice Task Attribute Attendance In Non-Market Valuation Of Multiple Park Management Services: Does It Matter?

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  • Scarpa, Riccardo
  • Thiene, Mara
  • Hensher, David A.

Abstract

Land management in Alpine Parks provides multifunctional services to separate groups of users. Choice experiments can be used to derive estimates of value for different management attributes. However, little research has been conducted on how frequently respondents ignore attributes used to describe policy management scenarios. We fill this gap using an approach that identifies and compares both serial and choice-task attribute non-attendance addressing five different visitor types. Our results indicate that accounting for choice-task non-attendance significantly improves model fit and yield estimates of marginal WTP with a more plausible pattern of signs and greater efficiency.

Suggested Citation

  • Scarpa, Riccardo & Thiene, Mara & Hensher, David A., 2009. "Monitoring Choice Task Attribute Attendance In Non-Market Valuation Of Multiple Park Management Services: Does It Matter?," 2009 Conference, August 16-22, 2009, Beijing, China 50830, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae09:50830
    DOI: 10.22004/ag.econ.50830
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    1. Scarpa, Riccardo & Rose, John M., 2008. "Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 1-30.
    2. Ferrini, Silvia & Scarpa, Riccardo, 2007. "Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 342-363, May.
    3. Danny Campbell & W. Hutchinson & Riccardo Scarpa, 2008. "Incorporating Discontinuous Preferences into the Analysis of Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(3), pages 401-417, November.
    4. Hausman, Jerry A. & Ruud, Paul A., 1987. "Specifying and testing econometric models for rank-ordered data," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 83-104.
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    6. David Hensher & John Rose & William Greene, 2005. "The implications on willingness to pay of respondents ignoring specific attributes," Transportation, Springer, vol. 32(3), pages 203-222, May.
    7. Riccardo Scarpa & Danny Campbell & W. George Hutchinson, 2007. "Benefit Estimates for Landscape Improvements: Sequential Bayesian Design and Respondents’ Rationality in a Choice Experiment," Land Economics, University of Wisconsin Press, vol. 83(4), pages 617-634.
    8. Hensher, David A. & Rose, John M., 2009. "Simplifying choice through attribute preservation or non-attendance: Implications for willingness to pay," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(4), pages 583-590, July.
    9. Gabaix, Xavier & Laibson, David Isaac & Moloche, Guillermo & Stephen, Weinberg, 2003. "The allocation of attention: theory and evidence," MPRA Paper 47339, University Library of Munich, Germany.
    10. Hess, Stephane & Hensher, David A., 2010. "Using conditioning on observed choices to retrieve individual-specific attribute processing strategies," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 781-790, July.
    11. Puckett, Sean M. & Hensher, David A., 2009. "Revealing the extent of process heterogeneity in choice analysis: An empirical assessment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 117-126, February.
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    15. Riccardo Scarpa & Timothy J. Gilbride & Danny Campbell & David A. Hensher, 2009. "Modelling attribute non-attendance in choice experiments for rural landscape valuation," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(2), pages 151-174, June.
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    More about this item

    Keywords

    Environmental Economics and Policy; Land Economics/Use; Resource /Energy Economics and Policy;
    All these keywords.

    JEL classification:

    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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