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Analyzing moviegoing demand: an individual-level cross-sectional approach

Author

Listed:
  • Alan Collins

    (Department of Economics, University of Portsmouth Business School, Richmond Building, Portland Street, Portsmouth PO1 3DE, UK)

  • Chris Hand

    (School of Marketing, Faculty of Business, Kingston University, Kingston Hill, Kingston upon Thames, Surrey KT2 7LB, UK)

Abstract

Previous work analyzing the demand for movie theater visits have had to rely entirely on highly aggregate time series data. Inevitably, this masks the significance of individual-specific effects that place constraints on such trip making. Further, while there have been cross-sectional revenue model estimates at the film-level, there have not been, hitherto, any cross-sectional studies of moviegoing by individuals. This study thus presents the first detailed microeconometric analysis of the factors that increase or lower the probability that an individual will go to a movie theater. Copyright © 2005 John Wiley & Sons, Ltd.

Suggested Citation

  • Alan Collins & Chris Hand, 2005. "Analyzing moviegoing demand: an individual-level cross-sectional approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 26(5), pages 319-330.
    • Handle: RePEc:wly:mgtdec:v:26:y:2005:i:5:p:319-330
    DOI: 10.1002/mde.1231
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    References listed on IDEAS

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    1. Peter Davis, 2006. "Spatial competition in retail markets: movie theaters," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 964-982, December.
    2. Darlene C. Chisholm & George Norman, 2002. "Spatial Competition and Demand: An Application to Motion Pictures," Discussion Papers Series, Department of Economics, Tufts University 0216, Department of Economics, Tufts University.
    3. Alan Collins & Chris Hand & Martin C. Snell, 2002. "What makes a blockbuster? Economic analysis of film success in the United Kingdom," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 23(6), pages 343-354.
    4. Deaton, Angus & Irish, Margaret, 1984. "Statistical models for zero expenditures in household budgets," Journal of Public Economics, Elsevier, vol. 23(1-2), pages 59-80.
    5. Brian W. Gould, 1992. "At-Home Consumption of Cheese: A Purchase-Infrequency Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(2), pages 453-459.
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    Citations

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    Cited by:

    1. Ana Suárez-Vázquez, 2011. "Critic power or star power? The influence of hallmarks of quality of motion pictures: an experimental approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(2), pages 119-135, May.
    2. Alan Collins & Chris Hand & Maggie Linnell, 2008. "Analyzing repeat consumption of identical cultural goods: some exploratory evidence from moviegoing," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(3), pages 187-199, September.
    3. Mark Fox & Grant Black, 2011. "The Rise and Decline of Drive-in Cinemas in the United States," Chapters, in: Samuel Cameron (ed.), Handbook on the Economics of Leisure, chapter 14, Edward Elgar Publishing.
    4. Ricard Gil & Fernanda Gutierrez-Navratil, 2017. "Does Television Entry Decrease The Number Of Movie Theaters?," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 736-756, April.
    5. 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.
    6. Drevs, Florian, 2013. "The Challenge of the Unknown – The Effect of Pay-What-You-Want on the Market Success of Publicly Subsidized Films," ZögU - Zeitschrift für öffentliche und gemeinwirtschaftliche Unternehmen, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 36(4), pages 255-270.
    7. Chakravarty, Anindita & Liu, Yong & Mazumdar, Tridib, 2010. "The Differential Effects of Online Word-of-Mouth and Critics' Reviews on Pre-release Movie Evaluation," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 185-197.
    8. Baranowski Paweł & Korczak Karol & Zając Jarosław, 2020. "Forecasting Cinema Attendance at the Movie Show Level: Evidence from Poland," Business Systems Research, Sciendo, vol. 11(1), pages 73-88, March.
    9. Ana Suarez-Vazquez & Elena Montañés-Roces, 2017. "Superstars Power, Mining the Paths to Stars’ Persuasion," Computational Economics, Springer;Society for Computational Economics, vol. 49(1), pages 67-81, January.

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