IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v45y2018i3p455-462..html
   My bibliography  Save this article

A simple diagnostic measure of inattention bias in discrete choice models

Author

Listed:
  • Trey Malone
  • Jayson L Lusk

Abstract

This note introduces a simple, easy-to-understand measure of inattention bias in discrete choice models. The metric, ranging from 0 to 1, can be compared across studies and samples. Specifically, a latent class logit model is estimated with all parameters in one class restricted to zero. The estimated share of observations falling in the class with null parameters (representing random choices) is the diagnostic measure of interest – the random response share. We validate the metric with an empirical study that identifies inattentive respondents via a trap question.

Suggested Citation

  • Trey Malone & Jayson L Lusk, 2018. "A simple diagnostic measure of inattention bias in discrete choice models," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(3), pages 455-462.
    • Handle: RePEc:oup:erevae:v:45:y:2018:i:3:p:455-462.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/erae/jby005
    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. Lusk, Jayson L. & Tonsor, Glynn T. & Schroeder, Ted C. & Hayes, Dermot J., 2018. "Effect of government quality grade labels on consumer demand for pork chops in the short and long run," Food Policy, Elsevier, vol. 77(C), pages 91-102.
    2. Haotian Cheng & Dayton M. Lambert & Karen L. DeLong & Kimberly L. Jensen, 2022. "Inattention, availability bias, and attribute premium estimation for a biobased product," Agricultural Economics, International Association of Agricultural Economists, vol. 53(2), pages 274-288, March.
    3. 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).
    4. Tanga Mohr & John C. Whitehead, 2023. "External Validity of Inferred Attribute NonAttendance: Evidence from a Laboratory Experiment with Real and Hypothetical Payoffs," Working Papers 23-05, Department of Economics, Appalachian State University.
    5. Lagerkvist, C.J. & Edenbrandt, A.K. & Tibbelin, I. & Wahlstedt, Y., 2020. "Preferences for sustainable and responsible equity funds - A choice experiment with Swedish private investors," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    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. Aaron Staples & Bridget K. Behe & Patricia Huddleston & Trey Malone, 2022. "What you see is what you get, and what you don't goes unsold: Choice overload and purchasing heuristics in a horticulture lab experiment," Agribusiness, John Wiley & Sons, Ltd., vol. 38(3), pages 620-635, July.

    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:45:y:2018:i:3:p:455-462.. 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.