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Testing the cognitive burden of two choice modeling valuation variants. The between and within sample approaches

Author

Listed:
  • Pierre-Alexandre Mahieu

    (University of Rouen)

  • Pere Riera

    (Autonomous University of Barcelona)

  • Raul Brey

    (Pablo de Olavide University)

Abstract

Scores are commonly used in environmental valuation exercises. The two main procedures when testing for score differences are the within sample and the between sample approaches. Their conclusions do not always coincide. With a case study involving scores on difficulty of responding to two choice modeling variants –contingent ranking and contingent grouping–, the paper shows the strength of the within sample approach when relying on the coherent arbitrariness principle. Results suggest that the grouping is significantly less difficult to complete than the ranking task. The validity of these results is enhanced by the fact that they are independent of the exercise order, which is tested by randomizing the sequence order in which respondents face the two methods.

Suggested Citation

  • 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.
    • Handle: RePEc:ebl:ecbull:eb-10-00219
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    File URL: http://www.accessecon.com/Pubs/EB/2010/Volume30/EB-10-V30-I2-P128.pdf
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    References listed on IDEAS

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    1. Whynes, David K. & Frew, Emma J. & Philips, Zoe N. & Covey, Judith & Smith, Richard D., 2007. "On the numerical forms of contingent valuation responses," Journal of Economic Psychology, Elsevier, vol. 28(4), pages 462-476, August.
    2. Dan Ariely & George Loewenstein & Drazen Prelec, 2003. ""Coherent Arbitrariness": Stable Demand Curves Without Stable Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 73-106.
    3. Flachaire, Emmanuel & Hollard, Guillaume, 2007. "Starting point bias and respondent uncertainty in dichotomous choice contingent valuation surveys," Resource and Energy Economics, Elsevier, vol. 29(3), pages 183-194, September.
    4. John Mackenzie, 1993. "A Comparison of Contingent Preference Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 593-603.
    5. I J Bateman & I H Langford, 1997. "Budget-Constraint, Temporal, and Question-Ordering Effects in Contingent Valuation Studies," Environment and Planning A, , vol. 29(7), pages 1215-1228, July.
    6. Nick Hanley & Bengt Kriström & Jason F. Shogren, 2009. "Coherent Arbitrariness: On Value Uncertainty for Environmental Goods," Land Economics, University of Wisconsin Press, vol. 85(1), pages 41-50.
    7. Brey, Raul & Bergland, Olvar & Riera, Pere, 2011. "A contingent grouping approach for stated preferences," Resource and Energy Economics, Elsevier, vol. 33(3), pages 745-755, September.
    8. 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.
    9. Alejandro Caparrós & José L. Oviedo & Pablo Campos, 2008. "Would You Choose Your Preferred Option? Comparing Choice and Recoded Ranking Experiments," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(3), pages 843-855.
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    Cited by:

    1. Pierre-Alexandre Mahieu & Romain Craste & Bengt Kriström & Pere Riera, 2014. "Non-market valuation in France: An overview of the research activity," Working Papers hal-01087365, HAL.

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    More about this item

    Keywords

    between sample test; choice modeling; cognitive burden; coherent arbitrariness; within sample test;
    All these keywords.

    JEL classification:

    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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