IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v47y2020i3p1133-1172..html
   My bibliography  Save this article

A query theory account of a discrete choice experiment under oath

Author

Listed:
  • Nathan P Kemper
  • Jennie S Popp
  • Rodolfo M Nayga

Abstract

One limitation of stated-preference methods is the formation of hypothetical bias. To address this, the honesty oath has been used as an ex ante technique to reduce hypothetical bias. Our study provides a query account of the honesty oath in a discrete-choice experiment setting by using Query Theory to examine the mechanism behind the effectiveness of the honesty oath. Our results show that the honesty oath can change the content and order of queries; potentially reducing hypothetical bias in discrete choice experiments. The study suggests the potential usefulness of Query Theory in examining thought processes of respondents in valuation studies.

Suggested Citation

  • Nathan P Kemper & Jennie S Popp & Rodolfo M Nayga, 2020. "A query theory account of a discrete choice experiment under oath," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(3), pages 1133-1172.
    • Handle: RePEc:oup:erevae:v:47:y:2020:i:3:p:1133-1172.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/erae/jbz026
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiang, Qi & Penn, Jerrod & Hu, Wuyang, 2022. "Real payment priming to reduce potential hypothetical bias," Journal of choice modelling, Elsevier, vol. 45(C).
    2. Sorravich Kingsuwankul & Chloe Tergiman & Marie Claire Villeval, 2023. "Why do oaths work? Image concerns and credibility in promise keeping," Working Papers 2316, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    3. Hongsha Wang & Qihui Chen & Bhagyashree Katare, 2023. "Nudging Chinese consumers to embrace sustainable milk consumption: How should information be provided?," Agribusiness, John Wiley & Sons, Ltd., vol. 39(S1), pages 1512-1534, December.
    4. Andersson, Henrik & Ouvrard, Benjamin, 2023. "Priming and the value of a statistical life: A cross country comparison," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).
    5. Kemper, Nathan & Popp, Jennie & Nayga, Jr., Rodolfo M. & Bazzani, Claudia, . "A Query Approach to Modeling Attendance to Attributes in Discrete Choice Experiments," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 49(2).
    6. Andersson, Henrik & Ouvrard, Benjamin, 2023. "Priming and the Value of a Statistical Life: A Cross Country Comparison," TSE Working Papers 23-1439, Toulouse School of Economics (TSE).
    7. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.
    8. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:erevae:v:47:y:2020:i:3:p:1133-1172.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.