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The Timing of Movie Releases: Evidence from the Home Video Industry

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Author Info
Lesley Chiou () (Department of Economics, Occidental College)
Abstract

In the movie industry, an intriguing question is why studios cluster their big theatrical hits during the Memorial Day or July 4th weekends in the early summer as opposed to the fall. This paper examines the home video industry to provide more evidence on whether booms in theatrical revenues are supply- or demand-driven. First, I find no evidence of segmentation within the home video market by genre or newness of videos. Secondly, my estimates of the seasonality within the home video market suggest that Memorial Day and July 4th may be more favorable for a theatrical release than Labor Day.

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File URL: http://faculty.oxy.edu/lchiou/timing.pdf
File Format: application/pdf
File Function: Revised version, 2006
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Publisher Info
Paper provided by Occidental College, Department of Economics in its series Occidental Economics Working Papers with number 4.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length: 41 pages
Date of creation: Nov 2005
Date of revision: Jul 2006
Handle: RePEc:occ:wpaper:4

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Keywords: home video seasonality discrete choice

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Find related papers by JEL classification:
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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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.:
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  3. Amil Petrin, 2002. "Quantifying the Benefits of New Products: The Case of the Minivan," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 705-729, August. [Downloadable!] (restricted)
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  5. De Vany, Arthur S & Walls, W David, 1997. "The Market for Motion Pictures: Rank, Revenue, and Survival," Economic Inquiry, Oxford University Press, vol. 35(4), pages 783-97, October.
  6. Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2, Julio-Dic. [Downloadable!]
  7. 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. [Downloadable!] (restricted)
  8. Julie Holland Mortimer, 2005. "Price Discrimination, Copyright Law, and Technological Innovation: Evidence from the Introduction of DVDs," NBER Working Papers 11676, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  9. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-90, July. [Downloadable!] (restricted)
  10. Aviv Nevo, 2000. "A Practitioner's Guide to Estimation of Random-Coefficients Logit Models of Demand," Journal of Economics & Management Strategy, Blackwell Publishing, vol. 9(4), pages 513-548, December. [Downloadable!] (restricted)
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  1. Ivan Maryanchyk, 2008. "Are Ratings Informative Signals? The Analysis of The Netflix Data," Working Papers 08-22, NET Institute, revised Oct 2008. [Downloadable!]
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