IDEAS home Printed from https://ideas.repec.org/p/ags/iaae18/277039.html

Indirect questioning as a debiasing mechanism in preference elicitation for sustainable food? First evidence from a Discrete Choice Experiment

Author

Listed:
  • Raffaelli, R.
  • Menapace, L.

Abstract

Indirect questioning (IQ), i.e., asking respondents to predict the behavior of others, has been employed in stated preference studies as WTP elicitation technique. This technique, also referred to as Inferred Valuation, represents a promising approach for reducing hypothetical bias when it is not possible to sell actual goods to participants and when the social desirability bias is a potential problem (e.g., preferences for sustainable food attributes). To date, several issues associated to the use of IQ have not been adequately investigated. We carried out a Discrete Choice Experiment on field to verify the effects on estimated WTPs of: i) different IQ framing; ii) monetary incentives associated to predictions; and iii) the order of presentation. First, by employing two different question formats (e.g. asking to predict others’ behavior in a real market situation or in hypothetical situations) we uncover how respondents are able to anticipate the tendency of others to provide socially desirable answers. Second, monetary incentives create a rewarding environment that indirectly affects WTPs obtained from direct questions. Third, we uncover a potential ‘debiasing’ effect on WTPs of asking respondents to make predictions about others’ before stating their own preferences, which could have interesting implications for practitioners.

Suggested Citation

  • Raffaelli, R. & Menapace, L., 2018. "Indirect questioning as a debiasing mechanism in preference elicitation for sustainable food? First evidence from a Discrete Choice Experiment," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277039, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae18:277039
    DOI: 10.22004/ag.econ.277039
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/277039/files/711%20AmendedICAE%202018.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.277039?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Scarpa, R. & Thiene, M. & Train, K., 2008. "Appendix to Utility in WTP space: a tool to address confounding random scale effects in destination choice to the Alps," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 90(4), pages 1-9, January.
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, Enero-Abr.
    3. Jayson Lusk & F. Norwood, 2010. "Direct Versus Indirect Questioning: An Application to the Well-Being of Farm Animals," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 96(3), pages 551-565, May.
    4. Fredrik Carlsson & Olof Johansson‐Stenman, 2010. "Why Do You Vote and Vote as You Do?," Kyklos, Wiley Blackwell, vol. 63(4), pages 495-516, November.
    5. Zhihua Li & Kirsten I. M. Rohde & Peter P. Wakker, 2017. "Improving one’s choices by putting oneself in others’ shoes – An experimental analysis," Journal of Risk and Uncertainty, Springer, vol. 54(1), pages 1-13, February.
    6. Klaiman, Kimberly & Ortega, David L. & Garnache, Cloé, 2016. "Consumer preferences and demand for packaging material and recyclability," Resources, Conservation & Recycling, Elsevier, vol. 115(C), pages 1-8.
    7. Olynk, Nicole J. & Tonsor, Glynn T. & Wolf, Christopher A., 2010. "Consumer Willingness to Pay for Livestock Credence Attribute Claim Verification," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(2), pages 1-20, August.
    8. Riccardo Scarpa & Mara Thiene & Kenneth Train, 2008. "Utility in Willingness to Pay Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 994-1010.
    9. Lusk, Jayson L. & Norwood, F. Bailey, 2009. "Bridging the gap between laboratory experiments and naturally occurring markets: An inferred valuation method," Journal of Environmental Economics and Management, Elsevier, vol. 58(2), pages 236-250, September.
    10. Lava Yadav & Thomas M. van Rensburg & Hugh Kelley, 2013. "A Comparison Between the Conventional Stated Preference Technique and an Inferred Valuation Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 405-422, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Menapace, Luisa & Raffaelli, Roberta, 2020. "Unraveling hypothetical bias in discrete choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 416-430.
    2. Danso, G. & Boaitey, A. & Otoo, M., 2018. "Assessing household preferences for wastewater fed fish: Lessons from a field experiment in Peru," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277338, International Association of Agricultural Economists.
    3. Klaiman, Kimberly & Ortega, David L. & Garnache, Cloé, 2016. "Consumer preferences and demand for packaging material and recyclability," Resources, Conservation & Recycling, Elsevier, vol. 115(C), pages 1-8.
    4. Choi, Andy S. & Lee, Choong-Ki & Tanaka, Katsuya & Xu, Honggang, 2018. "Value spillovers from the Korean DMZ areas and social desirability," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 95-104.
    5. Wensing, Joana & Caputo, Vincenzina & Carraresi, Laura & Bröring, Stefanie, 2020. "The effects of green nudges on consumer valuation of bio-based plastic packaging," Ecological Economics, Elsevier, vol. 178(C).
    6. Owusu, Rebecca & Dadzie, Samuel Kwesi Ndzebah, . "Heterogeneity in consumer preferences for organic and genetically modified food products in Ghana," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 16(2).
    7. Penn, Jerrod & Hu, Wuyang, 2016. "Making the Most of Cheap Talk in an Online Survey," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236171, Agricultural and Applied Economics Association.
    8. Tensay Meles & L. (Lisa B.) Ryan & Sanghamitra Mukherjee, 2019. "Preferences for Renewable Home Heating: A Choice Experiment Study of Heat Pump System in Ireland," Open Access publications 10197/11467, School of Economics, University College Dublin.
    9. Broberg, Thomas & Daniel, Aemiro Melkamu & Persson, Lars, 2021. "Household preferences for load restrictions: Is there an effect of pro-environmental framing?," Energy Economics, Elsevier, vol. 97(C).
    10. Krueger, Rico & Rashidi, Taha H. & Vij, Akshay, 2020. "A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles," Journal of choice modelling, Elsevier, vol. 36(C).
    11. Gopalakrishnan, Raja & Guevara, C. Angelo & Ben-Akiva, Moshe, 2020. "Combining multiple imputation and control function methods to deal with missing data and endogeneity in discrete-choice models," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 45-57.
    12. Daan Hulshof & Machiel Mulder, 2020. "Willingness to Pay for $$\hbox {CO}_2$$CO2 Emission Reductions in Passenger Car Transport," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(4), pages 899-929, April.
    13. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    14. Zemo, Kahsay Haile & Termansen, Mette, 2018. "Farmers’ willingness to participate in collective biogas investment: A discrete choice experiment study," Resource and Energy Economics, Elsevier, vol. 52(C), pages 87-101.
    15. Dan Pan, 2016. "The Design of Policy Instruments towards Sustainable Livestock Production in China: An Application of the Choice Experiment Method," Sustainability, MDPI, vol. 8(7), pages 1-18, July.
    16. Daniele Moro & Mario Veneziani & Paolo Sckokai & Elena Castellari, 2015. "Consumer Willingness to Pay for Catechin‐enriched Yogurt: Evidence from a Stated Choice Experiment," Agribusiness, John Wiley & Sons, Ltd., vol. 31(2), pages 243-258, April.
    17. Yang, Yang & Hobbs, Jill E. & Natcher, David C., 2020. "Assessing consumer willingness to pay for Arctic food products," Food Policy, Elsevier, vol. 92(C).
    18. Federico Pontoni & Daniel Vecchiato & Francesco Marangon & Tiziano Tempesta & Stefania Troiano, 2016. "Choice experiments and environmental taxation: An application to the Italian hydropower sector," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2016(3), pages 99-118.
    19. Schmid, Basil & Jokubauskaite, Simona & Aschauer, Florian & Peer, Stefanie & Hössinger, Reinhard & Gerike, Regine & Jara-Diaz, Sergio R. & Axhausen, Kay W., 2019. "A pooled RP/SP mode, route and destination choice model to investigate mode and user-type effects in the value of travel time savings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 262-294.
    20. Ballco, Petjon & Gracia, Azucena, 2020. "Do market prices correspond with consumer demands? Combining market valuation and consumer utility for extra virgin olive oil quality attributes in a traditional producing country," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).

    More about this item

    Keywords

    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:ags:iaae18:277039. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.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.