IDEAS home Printed from
   My bibliography  Save this article

An Improved Method for Calibrating Purchase Intentions in Stated Preference Demand Models


  • Davies, Stephen P.
  • Loomis, John B.


The Orbit demand model allows the magnitude of the calibration to stated purchase intentions to vary based on the magnitude of the stated quantities. Using an empirical example of stated trips, we find that the extent of calibration varies substantially with less correction needed at small stated trips (–25%) but larger corrections at higher quantities of stated visits (–48%). We extend the Orbit model to calculate consumer surplus per stated trip of $26. Combining the calibrations in stated trips and value per trip, the Orbit model provides estimates of annual benefits from 60% to 111% less than the count data model.

Suggested Citation

  • Davies, Stephen P. & Loomis, John B., 2010. "An Improved Method for Calibrating Purchase Intentions in Stated Preference Demand Models," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 42(4), pages 1-15, November.
  • Handle: RePEc:ags:joaaec:100521

    Download full text from publisher

    File URL:
    Download Restriction: no


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

    Cited by:

    1. Helga Fehr-Duda & Robin Schimmelpfennig, 2018. "Wider die Zahlengläubigkeit: Sind Befragungsergebnisse eine gute Grundlage für wirtschaftspolitische Entscheidungen?," ECON - Working Papers 297, Department of Economics - University of Zurich, revised Dec 2018.
    2. Ewa Zawojska & Pierre-Alexandre Mahieu & Romain Crastes & Jordan Louviere, 2016. "On a way to overcome strategic overbidding in open-ended stated preference surveys: A recoding approach," Working Papers 2016-34, Faculty of Economic Sciences, University of Warsaw.
    3. repec:eee:eejocm:v:28:y:2018:i:c:p:153-166 is not listed on IDEAS
    4. Loomis, John B., 2014. "2013WAEA Keynote Address: Strategies for Overcoming Hypothetical Bias in Stated Preference Surveys," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), pages 1-13, April.
    5. Fifer, Simon & Rose, John M., 2016. "Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certaintyAuthor-Name: Beck, Matthew J," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 149-167.


    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:joaaec:100521. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.