IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

What makes a blockbuster? Economic analysis of film success in the United Kingdom

  • Alan Collins

    (Department of Economics, University of Portsmouth, Milton, Southsea, Hants, UK)

  • Chris Hand

    (Department of Economics, University of Portsmouth, Milton, Southsea, Hants, UK)

  • Martin C. Snell

    (Department of Economics, University of Portsmouth, Milton, Southsea, Hants, UK)

In this paper, we attempt to evaluate whether a film's commercial performance can be forecast. The statistical distribution of film revenues in the UK is examined and found to have unbounded variance. This undermines much of the existing work relating a film's performance to its identifiable attributes within an OLS model. We adopt De Vany and Walls' approach and transform the revenue data into a binary variable and estimate the probability that a film's revenue will exceed a given threshold value; in other words, the probability of a blockbuster. Furthermore, we provide a sensitivity analysis around these threshold values. Copyright © 2002 John Wiley & Sons, Ltd.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://hdl.handle.net/10.1002/mde.1069
File Function: Link to full text; subscription required
Download Restriction: no

Article provided by John Wiley & Sons, Ltd. in its journal Managerial and Decision Economics.

Volume (Year): 23 (2002)
Issue (Month): 6 ()
Pages: 343-354

as
in new window

Handle: RePEc:wly:mgtdec:v:23:y:2002:i:6:p:343-354
Contact details of provider: Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/7976

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. De Vany, Arthur S. & Walls, W. David, 2004. "Motion picture profit, the stable Paretian hypothesis, and the curse of the superstar," Journal of Economic Dynamics and Control, Elsevier, vol. 28(6), pages 1035-1057, March.
  2. De Vany, Arthur & Walls, W David, 1996. "Bose-Einstein Dynamics and Adaptive Contracting in the Motion Picture Industry," Economic Journal, Royal Economic Society, vol. 106(439), pages 1493-1514, November.
  3. Olivier V. Pictet & Michel M. Dacorogna & Ulrich A. Muller, 1996. "Heavy tails in high-frequency financial data," Working Papers 1996-12-11, Olsen and Associates.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:wly:mgtdec:v:23:y:2002:i:6:p:343-354. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing)

or (Christopher F. Baum)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.