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On determining priors for the generation of efficient stated choice experimental designs


  • Bliemer, Michiel C.J.
  • Collins, Andrew T.


Bayesian priors are required in order to generate efficient and robust experimental designs for stated choice surveys. Although such priors are commonly obtained through a pilot study, in this paper we provide a simple alternative in which the analyst depends only on their own expert judgement and possibly on parameter estimates obtained from the literature. The process consists of ranking attribute levels, balancing choice tasks to obtain trade-offs, and setting probabilities in sample choice tasks to establish scale.

Suggested Citation

  • Bliemer, Michiel C.J. & Collins, Andrew T., 2016. "On determining priors for the generation of efficient stated choice experimental designs," Journal of choice modelling, Elsevier, vol. 21(C), pages 10-14.
  • Handle: RePEc:eee:eejocm:v:21:y:2016:i:c:p:10-14
    DOI: 10.1016/j.jocm.2016.03.001

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    References listed on IDEAS

    1. Bliemer, Michiel C.J. & Rose, John M., 2013. "Confidence intervals of willingness-to-pay for random coefficient logit models," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 199-214.
    2. Zsolt Sándor & Michel Wedel, 2002. "Profile Construction in Experimental Choice Designs for Mixed Logit Models," Marketing Science, INFORMS, vol. 21(4), pages 455-475, February.
    3. John Rose & Michiel Bliemer, 2013. "Sample size requirements for stated choice experiments," Transportation, Springer, vol. 40(5), pages 1021-1041, September.
    4. Jordan J. Louviere & Towhidul Islam & Nada Wasi & Deborah Street & Leonie Burgess, 2008. "Designing Discrete Choice Experiments: Do Optimal Designs Come at a Price?," Journal of Consumer Research, Oxford University Press, vol. 35(2), pages 360-375, March.
    5. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
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    Cited by:

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    2. Bertsch, Valentin & Harold, Jason & Fell, Harrison, 2019. "Consumer preferences for end-use specific curtailable electricity contracts on household appliances during peak load hours," Papers WP632, Economic and Social Research Institute (ESRI).
    3. repec:eee:eejocm:v:31:y:2019:i:c:p:104-123 is not listed on IDEAS
    4. repec:eee:transb:v:102:y:2017:i:c:p:83-104 is not listed on IDEAS
    5. repec:eee:transa:v:116:y:2018:i:c:p:361-388 is not listed on IDEAS
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    7. Nordén, Anna & Coria, Jessica & Jönsson, Anna Maria & Lagergren, Fredrik & Lehsten, Veiko, 2017. "Divergence in stakeholders' preferences: Evidence from a choice experiment on forest landscapes preferences in Sweden," Ecological Economics, Elsevier, vol. 132(C), pages 179-195.
    8. Nthambi, Mary & Wätzold, Frank & Markova-Nenova, Nonka, 2018. "Quantifying benefit losses from poor governance of climate change adaptation projects: A discrete choice experiment with farmers in Kenya," MPRA Paper 94678, University Library of Munich, Germany.
    9. repec:kap:theord:v:84:y:2018:i:2:d:10.1007_s11238-017-9647-3 is not listed on IDEAS
    10. Asioli, Daniele & Bazzani, Claudia & Nayga, Rodolfo M., 2018. "Consumers’ Valuation for Lab Produced Meat: An Investigation of Naming Effects," 2018 Annual Meeting, August 5-7, Washington, D.C. 274066, Agricultural and Applied Economics Association.
    11. Ha, Kim & Atallah, Shadi S. & Bazzani, Claudia & Nayga, Rodolfo M., 2017. "Consumers’ Valuation for Craft Beer: Does the Localness of Inputs Matter?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258330, Agricultural and Applied Economics Association.


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