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The Distribution and Predictability of Cinema Admissions

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  • Chris Hand

Abstract

Using a time series data set covering the period 1936–1999, this paper investigates the statistical distribution of cinema admissions and attempts to produce a forecasting model using the ARIMA methodology. Copyright Kluwer Academic Publishers 2002

Suggested Citation

  • Chris Hand, 2002. "The Distribution and Predictability of Cinema Admissions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(1), pages 53-64, February.
  • Handle: RePEc:kap:jculte:v:26:y:2002:i:1:p:53-64
    DOI: 10.1023/A:1013389211323
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    File URL: http://hdl.handle.net/10.1023/A:1013389211323
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    References listed on IDEAS

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    1. Arthur De Vany & W. Walls, 1999. "Uncertainty in the Movie Industry: Does Star Power Reduce the Terror of the Box Office?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 23(4), pages 285-318, November.
    2. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters,in: THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78 World Scientific Publishing Co. Pte. Ltd..
    3. VÍctor Blanco & JosÉ BaÑos Pino, 1997. "Cinema Demand in Spain: A Cointegration Analysis," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 21(1), pages 57-75, March.
    4. Samuel Cameron, 1999. "Rational addiction and the demand for cinema," Applied Economics Letters, Taylor & Francis Journals, vol. 6(9), pages 617-620.
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    Citations

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    Cited by:

    1. Alexis Dantec & Florence Levy, 2005. "Stars et box office : un état des approches théoriques et empiriques," Documents de Travail de l'OFCE 2005-13, Observatoire Francais des Conjonctures Economiques (OFCE).
    2. W. Walls, 2005. "Modeling Movie Success When ‘Nobody Knows Anything’: Conditional Stable-Distribution Analysis Of Film Returns," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(3), pages 177-190, August.
    3. Roberto Zanola, 2010. "Major influences on circus attendance," Empirical Economics, Springer, vol. 38(1), pages 159-170, February.
    4. M. Rimscha, 2013. "It’s not the economy, stupid! External effects on the supply and demand of cinema entertainment," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(4), pages 433-455, November.
    5. Victor Fernandez-Blanco & Luis Orea & Juan Prieto-Rodriguez, 2013. "Endogeneity and measurement errors when estimating demand functions with average prices: an example from the movie market," Empirical Economics, Springer, vol. 44(3), pages 1477-1496, June.
    6. Juan Prieto-Rodriguez & Fernanda Gutierrez-Navratil & Victoria Ateca-Amestoy, 2015. "Theatre allocation as a distributor’s strategic variable over movie runs," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 65-83, February.
    7. Ralf Dewenter & Michael Westermann, 2005. "Cinema Demand In Germany," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(3), pages 213-231, August.
    8. Kaimann, Daniel & Pannicke, Julia, 2015. "Movie success in a genre specific contest: Evidence from the US film industry," Ilmenau Economics Discussion Papers 98, Ilmenau University of Technology, Institute of Economics.
    9. Marshall, Pablo & Dockendorff, Monika & Ibáñez, Soledad, 2013. "A forecasting system for movie attendance," Journal of Business Research, Elsevier, vol. 66(10), pages 1800-1806.

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