IDEAS home Printed from https://ideas.repec.org/a/bla/obuest/v80y2018i1p122-134.html
   My bibliography  Save this article

Efficiency Gains in Rank†ordered Multinomial Logit Models

Author

Listed:
  • Arie Beresteanu
  • Federico Zincenko

Abstract

This paper considers estimation of discrete choice models when agents report their ranking of the alternatives (or some of them) rather than just the utility maximizing alternative. We investigate the parametric conditional rank†ordered Logit model. We show that conditions for identification do not change even if we observe ranking. Moreover, we fill a gap in the literature and show analytically and by Monte Carlo simulations that efficiency increases as we use additional information on the ranking.

Suggested Citation

  • Arie Beresteanu & Federico Zincenko, 2018. "Efficiency Gains in Rank†ordered Multinomial Logit Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(1), pages 122-134, February.
    • Handle: RePEc:bla:obuest:v:80:y:2018:i:1:p:122-134
    DOI: 10.1111/obes.12190
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/obes.12190
    Download Restriction: no
    File URL: https://libkey.io/10.1111/obes.12190?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
    ---><---

    Citations

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


    Cited by:

    1. Xing, Jianwei & Leard, Benjamin & Li, Shanjun, 2021. "What does an electric vehicle replace?," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
    2. Changbiao Liu & Yuling Li, 2023. "Estimation of Rank-Ordered Regret Minimization Models," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1611-1630, December.
    3. Yan, Jin & Yoo, Hong Il, 2019. "Semiparametric estimation of the random utility model with rank-ordered choice data," Journal of Econometrics, Elsevier, vol. 211(2), pages 414-438.
    4. Hunt, Priscillia E & Smart, Rosanna, 2020. "Investigation of Employers' Preferences for the Design of Staffing Agency Incentives to Hire Ex-Felons," IZA Discussion Papers 13520, Institute of Labor Economics (IZA).

    More about this item

    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:bla:obuest:v:80:y:2018:i:1:p:122-134. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/sfeixuk.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.