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The Distribution and Predictability of Cinema Admissions

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Author Info

  • 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

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File URL: http://hdl.handle.net/10.1023/A:1013389211323
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Bibliographic Info

Article provided by Springer in its journal Journal of Cultural Economics.

Volume (Year): 26 (2002)
Issue (Month): 1 (February)
Pages: 53-64

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Handle: RePEc:kap:jculte:v:26:y:2002:i:1:p:53-64

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Web page: http://www.springerlink.com/link.asp?id=100284

Related research

Keywords: ARIMA; cinema admissions; forecasting; heavy-tailed distribution;

References

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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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  1. VÍctor Blanco & JosÉ BaÑos Pino, 1997. "Cinema Demand in Spain: A Cointegration Analysis," Journal of Cultural Economics, Springer, vol. 21(1), pages 57-75, March.
  2. Samuel Cameron, 1999. "Rational addiction and the demand for cinema," Applied Economics Letters, Taylor & Francis Journals, vol. 6(9), pages 617-620.
  3. Benoit Mandelbrot, 1963. "The Variation of Certain Speculative Prices," The Journal of Business, University of Chicago Press, vol. 36, pages 394.
  4. 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, vol. 23(4), pages 285-318, November.
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Citations

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Cited by:
  1. Zanola, Roberto, 2007. "Major influences on circus attendance," POLIS Working Papers 89, Institute of Public Policy and Public Choice - POLIS.
  2. Marshall, Pablo & Dockendorff, Monika & Ibáñez, Soledad, 2013. "A forecasting system for movie attendance," Journal of Business Research, Elsevier, vol. 66(10), pages 1800-1806.
  3. W. Walls, 2005. "Modeling Movie Success When ‘Nobody Knows Anything’: Conditional Stable-Distribution Analysis Of Film Returns," Journal of Cultural Economics, Springer, vol. 29(3), pages 177-190, August.
  4. Dewenter, Ralf & Westermann, Michael, 2003. "Cinema demand in Germany," IBES Diskussionsbeiträge 125, University of Duisburg-Essen, Faculty for Economics and Business Administration.
  5. 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).
  6. M. Rimscha, 2013. "It’s not the economy, stupid! External effects on the supply and demand of cinema entertainment," Journal of Cultural Economics, Springer, vol. 37(4), pages 433-455, November.
  7. 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.

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