IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v19y2012i11p1051-1055.html
   My bibliography  Save this article

Searching for the picture: forecasting UK cinema admissions using Google Trends data

Author

Listed:
  • Chris Hand
  • Guy Judge

Abstract

This article investigates whether Google Trends search information can improve forecasts of cinema admissions. Using monthly data for the United Kingdom for the period 1 January 2004 to 31 December 2008, we examine various forecasting models that incorporate Google Trends search information. We find clear evidence that Google Trends data on searches relevant to cinema visits (as opposed to searches for specific films) do have the potential to increase the accuracy of cinema admissions forecasting models.

Suggested Citation

  • Chris Hand & Guy Judge, 2012. "Searching for the picture: forecasting UK cinema admissions using Google Trends data," Applied Economics Letters, Taylor & Francis Journals, vol. 19(11), pages 1051-1055, July.
  • Handle: RePEc:taf:apeclt:v:19:y:2012:i:11:p:1051-1055
    DOI: 10.1080/13504851.2011.613744
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2011.613744
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2011.613744?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:apeclt:v:19:y:2012:i:11:p:1051-1055. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.