IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/34441.html

Leaving Money on the Dashboard: Price Dispersion and Search Frictions on Uber and Lyft

Author

Listed:
  • Jeffrey Fossett
  • Michael Luca
  • Yejia Xu

Abstract

We document price differences for identical trips on Uber and Lyft, based on an audit of the two platforms. While price dispersion exists in the market, device-level data show that only 16.1 percent of consumers opening one app also open the other. Our estimates suggest that the modest frictions involved in comparison shopping increase platforms’ gross booking volume by over $300 million annually in New York City alone. While price-comparison engines could in principle reduce frictions, Uber’s API terms of use limit such services, reducing riders’ ability to price compare.

Suggested Citation

  • Jeffrey Fossett & Michael Luca & Yejia Xu, 2025. "Leaving Money on the Dashboard: Price Dispersion and Search Frictions on Uber and Lyft," NBER Working Papers 34441, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:34441
    Note: IO LS PE PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w34441.pdf
    Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    JEL classification:

    • D0 - Microeconomics - - General
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    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:nbr:nberwo:34441. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.