IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01576239.html

Interval bidding in a distribution elicitation format

Author

Listed:
  • Pierre-Alexandre Mahieu

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes)

  • Jason Shogren

    (UW - University of Wyoming)

  • Pascal Gastineau

    (IFSTTAR/AME/EASE - Environnement, Aménagement, Sécurité et Eco-conception - IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux - UNAM - PRES Université Nantes Angers Le Mans)

  • François-Charles Wolff

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes)

Abstract

Interval bidding allows people to report a range of values for a non-market good. Herein, we allow people to choose their distribution over this range endogenously. We consider a multiplicative error model explaining the willingness to pay (WTP) which is estimated using a feasible generalized least squares estimator. We apply our framework to a representative sample of the French population who were asked about the valuation of a bear conservation programme. We find that most participants prefer stating their WTP as a range rather than a point, but the shape of the distribution greatly varies across people. Our results support the use of the interval bidding with endogenous distribution approach in valuation studies.

Suggested Citation

  • Pierre-Alexandre Mahieu & Jason Shogren & Pascal Gastineau & François-Charles Wolff, 2017. "Interval bidding in a distribution elicitation format," Post-Print hal-01576239, HAL.
    • Handle: RePEc:hal:journl:hal-01576239
    DOI: 10.1080/00036846.2017.1302065
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Olivier Chanel & Khaled Makhloufi & Mohammad Abu-Zaineh, 2017. "Can a Circular Payment Card Format Effectively Elicit Preferences? Evidence From a Survey on a Mandatory Health Insurance Scheme in Tunisia," Applied Health Economics and Health Policy, Springer, vol. 15(3), pages 385-398, June.
    2. Moritz A. Drupp & Zachary M. Turk & Ben Groom & Jonas Heckenhahn, 2024. "Limited Substitutability, Relative Price Changes and the Uplifting of Public Natural Capital Values," CESifo Working Paper Series 11156, CESifo.
    3. Persichina, Marco & Kriström, Bengt, 2022. "Self-selected intervals in psycho-physic experiments and the measurement of willingness to pay," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 98(C).
    4. Voltaire, Louinord, 2017. "Pricing Future Nature Reserves Through Contingent Valuation Data," Ecological Economics, Elsevier, vol. 135(C), pages 66-75.
    5. Schlag, Karl H. & van der Weele, Joël J., 2015. "A method to elicit beliefs as most likely intervals," Judgment and Decision Making, Cambridge University Press, vol. 10(5), pages 456-468, September.
    6. Angel G. Angelov & Magnus Ekström & Klarizze Puzon & Agustin Arcenas & Bengt Kriström, 2024. "Quantile regression with interval-censored data in questionnaire-based studies," Computational Statistics, Springer, vol. 39(2), pages 583-603, April.
    7. Champonnois, Victor & Chanel, Olivier & Makhloufi, Khaled, 2018. "Reducing the anchoring bias in multiple question CV surveys," Journal of choice modelling, Elsevier, vol. 28(C), pages 1-9.
    8. Luigi La Riccia & Vanessa Assumma & Marta Carla Bottero & Federico Dell’Anna & Angioletta Voghera, 2023. "A Contingent Valuation-Based Method to Valuate Ecosystem Services for a Proactive Planning and Management of Cork Oak Forests in Sardinia (Italy)," Sustainability, MDPI, vol. 15(10), pages 1-28, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

    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:hal:journl:hal-01576239. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.