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Recreational shellfish harvesting and health risks: A pseudo-panel approach combining revealed and stated preference data with correction for on-site sampling

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  • Beaumais, Olivier
  • Appéré, Gildas

Abstract

This paper assesses the value of health risks related to recreational shellfish harvesting. Combining revealed and stated preferences data from an on-site survey and using a pseudo-panel approach shows that people significantly value health risks. The combination of stated and revealed preferences data is realised through the introduction of the concept of a "hypothetical twin site". Addressing on-site sampling issues within the framework of a random-effect Poisson gamma model allows a derivation of more accurate estimates of welfare measures. Results also suggest that the demand for recreational shellfish harvesting is an inferior good.

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Bibliographic Info

Article provided by Elsevier in its journal Ecological Economics.

Volume (Year): 69 (2010)
Issue (Month): 12 (October)
Pages: 2315-2322

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Handle: RePEc:eee:ecolec:v:69:y:2010:i:12:p:2315-2322

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Web page: http://www.elsevier.com/locate/ecolecon

Related research

Keywords: Count data model Contingent valuation Recreation on-site sampling Health risks;

References

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  1. Hammitt, James K & Graham, John D, 1999. "Willingness to Pay for Health Protection: Inadequate Sensitivity to Probability?," Journal of Risk and Uncertainty, Springer, vol. 18(1), pages 33-62, April.
  2. Shaw, Daigee, 1988. "On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification," Journal of Econometrics, Elsevier, vol. 37(2), pages 211-223, February.
  3. Nick Hanley & Begona Alvarez-Farizo, . "Valuing the Benefits of Coastal Water Quality Improvements using Contingent and Real Behaviour," Working Papers 2002_9, Business School - Economics, University of Glasgow, revised Sep 2002.
  4. Englin, Jeffrey & Shonkwiler, J S, 1995. "Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 104-12, February.
  5. Jeffrey Englin & Trudy Cameron, 1996. "Augmenting travel cost models with contingent behavior data," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 7(2), pages 133-147, March.
  6. von Haefen, Roger H., 2007. "Empirical strategies for incorporating weak complementarity into consumer demand models," Journal of Environmental Economics and Management, Elsevier, vol. 54(1), pages 15-31, July.
  7. Kragt, Marit E. & Roebeling, Peter C. & Ruijs, Arjan, 2009. "Effects of Great Barrier Reef degradation on recreational reef-trip demand: a contingent behaviour approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(2), June.
  8. Richard D. Smith, 2003. "Construction of the contingent valuation market in health care:a critical assessment," Health Economics, John Wiley & Sons, Ltd., vol. 12(8), pages 609-628.
  9. Maria A. Cunha-e-S� & Maria M. Ducla-Soares & Lu�s C. Nunes & Philippe Polomé, 2004. "Consistency in Mixed Demand Systems: Contingent Valuation and Travel Cost Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 444-454.
  10. John C. Whitehead & Daniel Phaneuf & Christopher F. Dumas & Jim Herstine & Jeffrey Hill & Bob Buerger, 2007. "Convergent Validity of Revealed and Stated Recreation Behavior with Quality Change: A Comparison of Multiple and Single Site Demands," Working Papers 07-17, Department of Economics, Appalachian State University, revised 2008.
  11. John C. Whitehead & Timothy C. Haab & Ju-Chin Huang, 1999. "Measuring Recreation Benefits of Quality Improvements with Revealed and Stated Behavior Data," Working Papers 9902, East Carolina University, Department of Economics.
  12. Trudy Ann Cameron, 1992. "Combining Contingent Valuation and Travel Cost Data for the Valuation of Nonmarket Goods," Land Economics, University of Wisconsin Press, vol. 68(3), pages 302-317.
  13. Egan, Kevin & Herriges, Joseph, 2006. "Multivariate count data regression models with individual panel data from an on-site sample," Journal of Environmental Economics and Management, Elsevier, vol. 52(2), pages 567-581, September.
  14. Klaus Moeltner & J. Scott Shonkwiler, 2005. "Correcting for On-Site Sampling in Random Utility Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 327-339.
  15. Adamowicz, Wiktor & Swait, Joffre & Boxall, Peter & Louviere, Jordan & Williams, Michael, 1997. "Perceptions versus Objective Measures of Environmental Quality in Combined Revealed and Stated Preference Models of Environmental Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 32(1), pages 65-84, January.
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Citations

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Cited by:
  1. Hynes, Stephen & Greene, William, 2011. "Estimating recreation demand with on-site panel data: An application of a latent class truncated and endogenously stratified count data model," Working Papers 148925, Socio-Economic Marine Research Unit, National University of Ireland, Galway.
  2. Hynes, Stephen & Greene, William, 2012. "Panel Travel Cost Count Data Models for On-Site Samples that Incorporate Unobserved Heterogeneity with Respect to the Impact of the Explanatory Variables," Working Papers 148834, Socio-Economic Marine Research Unit, National University of Ireland, Galway.

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