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Ordering effects and strategic response in discrete choice experiments

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  • Scheufele, Gabriela
  • Bennett, Jeffrey W.

Abstract

This study explores ordering effects and response strategies in repeated binary discrete choice experiments (DCE). Mechanism design theory and empirical evidence suggest that repeated choice tasks per respondent introduce strategic behavior. We find evidence that the order in which choice sets are presented to respondents may provide strategic opportunities that affect choice decisions (‘strategic response’). The findings propose that the ‘strategic response’ does not follow strong cost-minimization but other strategies such as weak cost-minimization or good deal/ bad deal heuristics. Evidence further suggests that participants, as they answer more choice questions, not only make more accurate choices (‘institutional learning’) but may also become increasingly aware of and learn to take advantage of the order in which choice sets are presented to them (‘strategic learning’).

Suggested Citation

  • Scheufele, Gabriela & Bennett, Jeffrey W., 2010. "Ordering effects and strategic response in discrete choice experiments," Research Reports 107743, Australian National University, Environmental Economics Research Hub.
  • Handle: RePEc:ags:eerhrr:107743
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    References listed on IDEAS

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    1. Gabriela Scheufele & Jeff Bennett, 2013. "Effects of alternative elicitation formats in discrete choice experiments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(2), pages 214-233, April.
    2. Collins, Jill P. & Vossler, Christian A., 2009. "Incentive compatibility tests of choice experiment value elicitation questions," Journal of Environmental Economics and Management, Elsevier, vol. 58(2), pages 226-235, September.
    3. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    4. Bateman, Ian J. & Day, Brett H. & Georgiou, Stavros & Lake, Iain, 2006. "The aggregation of environmental benefit values: Welfare measures, distance decay and total WTP," Ecological Economics, Elsevier, vol. 60(2), pages 450-460, December.
    5. Gregory L. Poe & Kelly L. Giraud & John B. Loomis, 2005. "Computational Methods for Measuring the Difference of Empirical Distributions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 353-365.
    6. Ferrini, Silvia & Scarpa, Riccardo, 2007. "Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 342-363, May.
    7. McNair, Ben J. & Bennett, Jeffrey W. & Hensher, David A., 2010. "Strategic response to a sequence of discrete choice questions," 2010 Conference (54th), February 10-12, 2010, Adelaide, Australia 59102, Australian Agricultural and Resource Economics Society.
    8. Moulin, Herve, 1994. "Social choice," Handbook of Game Theory with Economic Applications,in: R.J. Aumann & S. Hart (ed.), Handbook of Game Theory with Economic Applications, edition 1, volume 2, chapter 31, pages 1091-1125 Elsevier.
    9. Thomas P. Holmes & Kevin J. Boyle, 2005. "Dynamic Learning and Context-Dependence in Sequential, Attribute-Based, Stated-Preference Valuation Questions," Land Economics, University of Wisconsin Press, vol. 81(1).
    10. Jacinto Braga & Chris Starmer, 2005. "Preference Anomalies, Preference Elicitation and the Discovered Preference Hypothesis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 32(1), pages 55-89, September.
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    Cited by:

    1. Leong, Waiyan & Hensher, David A., 2012. "Embedding multiple heuristics into choice models: An exploratory analysis," Journal of choice modelling, Elsevier, vol. 5(3), pages 131-144.

    More about this item

    Keywords

    discrete choice experiments; incentive compatibility; mixed logit models; ordering effects; repeated binary choice task; response strategies; Environmental Economics and Policy;

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