IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/24308.html
   My bibliography  Save this paper

Death by Pokémon GO: The Economic and Human Cost of Using Apps While Driving

Author

Listed:
  • Mara Faccio
  • John J. McConnell

Abstract

Using police accident reports for Tippecanoe County, Indiana, and exploiting the introduction of the augmented reality game Pokémon GO as a natural experiment, we document a disproportionate increase in crashes and associated vehicular damage, injuries, and fatalities in the vicinity of locations where users can play the game while driving. We estimate the incremental county-wide cost of users playing Pokémon GO while driving to be in the range of $5.2 to $25.5 million over the 148 days following the introduction of the game. Extrapolating these estimates to nation-wide levels yields a total ranging from $2.0 to $7.3 billion.

Suggested Citation

  • Mara Faccio & John J. McConnell, 2018. "Death by Pokémon GO: The Economic and Human Cost of Using Apps While Driving," NBER Working Papers 24308, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:24308
    Note: EH PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w24308.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Hersh, Jonathan & Lang, Bree J. & Lang, Matthew, 2022. "Car accidents, smartphone adoption and 3G coverage," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 278-293.

    More about this item

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

    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:24308. 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.