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Embedding and calibration in measuring non-use values

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  • Schulze, William D.
  • McClelland, Gary H.
  • Lazo, Jeffrey K.
  • Rowe, Robert D.

Abstract

Embedding, the notion that respondents to contingent valuation (CV) questions often value more than the researcher intends, has engendered extreme views. These range from the suggestion that embedding is so severe that it renders CV useless to the assertion that embedding can be eliminated by providing sufficient information in a survey. This paper examines three alternative explanations for embedding: 1) the purchase of moral satisfaction, 2) independent valuation and summation, and 3) mental models of joint products. Several studies that shed light on the nature of the embedding problem are presented and we examine whether it is possible to test for embedding through follow up questions that obtain self reports from respondents. We show that answers to these debriefing questions predict whether or not different groups of respondents pass a scope test (i.e., a statistically significant difference between groups valuing different levels of the same commodity). We reject the view that increased market context can solve the embedding problem. Rather, embedding may depend on the nature of the commodity itself.

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  • Schulze, William D. & McClelland, Gary H. & Lazo, Jeffrey K. & Rowe, Robert D., 1998. "Embedding and calibration in measuring non-use values," Resource and Energy Economics, Elsevier, vol. 20(2), pages 163-178, June.
  • Handle: RePEc:eee:resene:v:20:y:1998:i:2:p:163-178
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    Cited by:

    1. Rolfe, John & Windle, Jill & Bennett, Jeffrey W. & Mazur, Kasia, 2013. "Calibration of values in benefit transfer to account for variations in geographic scale and scope: Comparing two choice modelling experiments," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152176, Australian Agricultural and Resource Economics Society.
    2. Bateman, Ian J. & Cole, Matthew & Cooper, Philip & Georgiou, Stavros & Hadley, David & Poe, Gregory L., 2004. "On visible choice sets and scope sensitivity," Journal of Environmental Economics and Management, Elsevier, vol. 47(1), pages 71-93, January.
    3. Diane Dupont, 2003. "CVM Embedding Effects When There Are Active, Potentially Active and Passive Users of Environmental Goods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 25(3), pages 319-341, July.
    4. Ojea, Elena & Loureiro, Maria L., 2011. "Identifying the scope effect on a meta-analysis of biodiversity valuation studies," Resource and Energy Economics, Elsevier, vol. 33(3), pages 706-724, September.
    5. Desvousges, William & Mathews, Kristy & Train, Kenneth, 2012. "Adequate responsiveness to scope in contingent valuation," Ecological Economics, Elsevier, vol. 84(C), pages 121-128.
    6. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    7. Richard C. Bishop & Kevin J. Boyle, 2021. "On Adding-Up as a Validity Criterion for Stated-Preference Studies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(3), pages 587-601, November.
    8. Tanya O�Garra & Susanna Mourato, 2013. "An Experimental Investigation of the Impacts of Persuasion and Information Acquisition on Non-Use Values for Climate Change Adaptation," GRI Working Papers 125, Grantham Research Institute on Climate Change and the Environment.
    9. Poe, Gregory L. & Boyle, Kevin J. & Bergstrom, John C., 2000. "A Meta Analysis Of Contingent Values For Groundwater Quality In The United States," 2000 Annual meeting, July 30-August 2, Tampa, FL 21871, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Morse-Jones, Sian & Bateman, Ian J. & Kontoleon, Andreas & Ferrini, Silvia & Burgess, Neil D. & Turner, R. Kerry, 2012. "Stated preferences for tropical wildlife conservation amongst distant beneficiaries: Charisma, endemism, scope and substitution effects," Ecological Economics, Elsevier, vol. 78(C), pages 9-18.
    11. Gregory Poe & Jeremy Clark & Daniel Rondeau & William Schulze, 2002. "Provision Point Mechanisms and Field Validity Tests of Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(1), pages 105-131, September.
    12. Powe, N. A. & Bateman, I. J., 2003. "Ordering effects in nested 'top-down' and 'bottom-up' contingent valuation designs," Ecological Economics, Elsevier, vol. 45(2), pages 255-270, June.
    13. Penn, Jerrod & Hu, Wuyang, 2019. "Cheap talk efficacy under potential and actual Hypothetical Bias: A meta-analysis," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 22-35.
    14. Bateman, Ian J. & Brouwer, Roy, 2006. "Consistency and construction in stated WTP for health risk reductions: A novel scope-sensitivity test," Resource and Energy Economics, Elsevier, vol. 28(3), pages 199-214, August.
    15. Nick Hanley & Carol A. Salt & Mike Wilson & Meara Culligan‐Dunsmore, 2001. "Evaluating alternative “countermeasures” against food contamination resulting from nuclear accidents," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(2), pages 92-109, May.

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