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A contingent grouping approach for stated preferences

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  • Brey, Raul
  • Bergland, Olvar
  • Riera, Pere
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    Abstract

    This paper introduces the theoretical and statistical foundations of contingent grouping, a variant of attribute-based stated preference methods, and checks for its implementation difficulty. Respondents are asked to simply group a number of alternatives as better or worse than a baseline or the status quo situation. A Monte Carlo approach shows that it performs statistically better than contingent choice according to the MSE criterion, and worse than contingent ranking, while a case study suggests that contingent grouping is less difficult to answer than contingent ranking. Furthermore, contingent choice shows a greater consistency in preferences with contingent grouping than with contingent ranking.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0928765511000212
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    Bibliographic Info

    Article provided by Elsevier in its journal Resource and Energy Economics.

    Volume (Year): 33 (2011)
    Issue (Month): 3 (September)
    Pages: 745-755

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    Handle: RePEc:eee:resene:v:33:y:2011:i:3:p:745-755

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    Web page: http://www.elsevier.com/locate/inca/505569

    Related research

    Keywords: Contingent grouping Choice modeling Cognitive burden;

    References

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    1. 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.
    2. Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
    3. Herriges, Joseph A. & Kling, Catherine L., 2003. "Recreation Demand Models," Staff General Research Papers 10211, Iowa State University, Department of Economics.
    4. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, October.
    5. Jayson L. Lusk & F. Bailey Norwood, 2005. "Effect of Experimental Design on Choice-Based Conjoint Valuation Estimates," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 771-785.
    6. Ben-Akiva, Moshe & Morikawa, Takayuki & Shiroishi, Fumiaki, 1991. "Analysis of the reliability of preference ranking data," Journal of Business Research, Elsevier, vol. 23(3), pages 253-268, November.
    7. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    8. Cameron, Trudy Ann & Poe, Gregory L. & Ethier, Robert G. & Schulze, William D., 2002. "Alternative Non-market Value-Elicitation Methods: Are the Underlying Preferences the Same?," Journal of Environmental Economics and Management, Elsevier, vol. 44(3), pages 391-425, November.
    9. Hanley, Nick & Mourato, Susana & Wright, Robert E, 2001. " Choice Modelling Approaches: A Superior Alternative for Environmental Valuation?," Journal of Economic Surveys, Wiley Blackwell, vol. 15(3), pages 435-62, July.
    10. Foster, Vivien & Mourato, Susana, 2002. "Testing for Consistency in Contingent Ranking Experiments," Journal of Environmental Economics and Management, Elsevier, vol. 44(2), pages 309-328, September.
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    Cited by:
    1. Riera, Pere & Giergiczny, Marek & PeƱuelas, Josep & Mahieu, Pierre-Alexandre, 2012. "A choice modelling case study on climate change involving two-way interactions," Journal of Forest Economics, Elsevier, vol. 18(4), pages 345-354.
    2. Brey, Raul & Riera, Pere & Mogas, Joan, 2007. "Estimation of forest values using choice modeling: An application to Spanish forests," Ecological Economics, Elsevier, vol. 64(2), pages 305-312, December.
    3. Pierre-Alexandre Mahieu & Pere Riera & Raul Brey, 2010. "Testing the cognitive burden of two choice modeling valuation variants. The between and within sample approaches," Economics Bulletin, AccessEcon, vol. 30(2), pages 1384-1391.

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