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The effect of resource quality information on resource injury perceptions and contingent values

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  • Hoehn, John P.
  • Randall, Alan

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  • Hoehn, John P. & Randall, Alan, 2002. "The effect of resource quality information on resource injury perceptions and contingent values," Resource and Energy Economics, Elsevier, vol. 24(1-2), pages 13-31, February.
    • Handle: RePEc:eee:resene:v:24:y:2002:i:1-2:p:13-31
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    1. John Loomis & Armando Gonzalez-Caban & Robin Gregory, 1994. "Do Reminders of Substitutes and Budget Constraints Influence Contingent Valuation Estimates?," Land Economics, University of Wisconsin Press, vol. 70(4), pages 499-506.
    2. Johnston, Robert J. & Weaver, Thomas F. & Smith, Lynn A. & Swallow, Stephen K., 1995. "Contingent Valuation Focus Groups: Insights from Ethnographic Interview Techniques," Agricultural and Resource Economics Review, Cambridge University Press, vol. 24(1), pages 56-69, April.
    3. Randall, Alan & Hoehn, John P., 1996. "Embedding in Market Demand Systems," Journal of Environmental Economics and Management, Elsevier, vol. 30(3), pages 369-380, May.
    4. Smith, V Kerry & Desvousges, William H & Payne, John W, 1995. "Do Risk Information Programs Promote Mitigating Behavior?," Journal of Risk and Uncertainty, Springer, vol. 10(3), pages 203-221, May.
    5. Loomis, John B. & Ekstrand, Earl, 1997. "Economic Benefits Of Critical Habitat For The Mexican Spotted Owl: A Scope Test Using A Multiple-Bounded Contingent Valuation Survey," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 22(2), pages 1-11, December.
    6. Carson, Richard T. & Hanemann, W. Michael & Kopp, Raymond J. & Krosnick, Jon A. & Mitchell, Robert C. & Presser, Stanley & Ruud, Paul A. & Smith, V. Kerry & Conaway, Michael & Martin, Kerry, 1996. "Was the NOAA Panel Correct about Contingent Valuation?," Discussion Papers 10503, Resources for the Future.
    7. Kevin J. Boyle, 1989. "Commodity Specification and the Framing of Contingent-Valuation Questions," Land Economics, University of Wisconsin Press, vol. 65(1), pages 57-63.
    8. Viscusi, W Kip & O'Connor, Charles J, 1984. "Adaptive Responses to Chemical Labeling: Are Workers Bayesian Decision Makers?," American Economic Review, American Economic Association, vol. 74(5), pages 942-956, December.
    9. Viscusi, W Kip, 1989. "Prospective Reference Theory: Toward an Explanation of the Paradoxes," Journal of Risk and Uncertainty, Springer, vol. 2(3), pages 235-263, September.
    10. Tolley, George & Kenkel, Donald & Fabian, Robert (ed.), 1994. "Valuing Health for Policy," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226807133, October.
    11. Magat, Wesley A & Viscusi, W Kip & Huber, Joel, 1988. "Consumer Processing of Hazard Warning Information," Journal of Risk and Uncertainty, Springer, vol. 1(2), pages 201-232, June.
    12. John C. Bergstrom & John R. Stoll & Alan Randall, 1990. "The Impact of Information on Environmental Commodity Valuation Decisions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 614-621.
    13. V. Kerry Smith & William H. Desvousges & F. Reed Johnson & Ann Fisher, 1990. "Can public information programs affect risk perceptions?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 9(1), pages 41-59.
    14. Kahneman, Daniel & Knetsch, Jack L., 1992. "Valuing public goods: The purchase of moral satisfaction," Journal of Environmental Economics and Management, Elsevier, vol. 22(1), pages 57-70, January.
    15. John C. Bergstrom & John R. Stoll & Alan Randall, 1989. "Information Effects in Contingent Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 685-691.
    16. Blomquist, Glenn C. & Whitehead, John C., 1998. "Resource quality information and validity of willingness to pay in contingent valuation," Resource and Energy Economics, Elsevier, vol. 20(2), pages 179-196, June.
    17. Smith, V Kerry & Johnson, F Reed, 1988. "How Do Risk Perceptions Respond to Information? The Case of Radon," The Review of Economics and Statistics, MIT Press, vol. 70(1), pages 1-8, February.
    18. Smith, V Kerry & Desvousges, William H, 1990. "Risk Communication and the Value of Information: Radon as a Case Study," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 137-142, February.
    19. Joseph A. Herriges & Catherine L. Kling (ed.), 1999. "Valuing Recreation and the Environment," Books, Edward Elgar Publishing, number 1315.
    20. Cameron, Trudy Ann & James, Michelle D, 1987. "Efficient Estimation Methods for "Closed-ended' Contingent Valuation Surveys," The Review of Economics and Statistics, MIT Press, vol. 69(2), pages 269-276, May.
    21. Hoehn, John P & Randall, Alan, 1989. "Too Many Proposals Pass the Benefit Cost Test," American Economic Review, American Economic Association, vol. 79(3), pages 544-551, June.
    22. Jennifer Tkac, 1998. "The Effects of Information on Willingness-to-Pay Values of Endangered Species," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1214-1220.
    23. John P. Hoehn, 1991. "Valuing the Multidimensional Impacts of Environmental Policy: Theory and Methods," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 289-299.
    24. Kaplowitz, Michael D. & Hoehn, John P., 2001. "Do focus groups and individual interviews reveal the same information for natural resource valuation?," Ecological Economics, Elsevier, vol. 36(2), pages 237-247, February.
    25. Kerry Smith, V. & Desvousges, William H., 1989. "Subjective versus technical risk estimates: do risk communication policies increase consistency?," Economics Letters, Elsevier, vol. 31(3), pages 287-291, December.
    26. Randall, Alan & Hoehn, John P., 2000. "Valuing Injury To Natural Resources: The Effect Of Resource Quality Information On Perceptions And Contingent Values," Staff Paper Series 11507, Michigan State University, Department of Agricultural, Food, and Resource Economics.
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