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Modeling the appeal of movie features to demographic segments of theatrical demand

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  • Ignacio Redondo
  • Morris Holbrook

Abstract

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Suggested Citation

  • Ignacio Redondo & Morris Holbrook, 2010. "Modeling the appeal of movie features to demographic segments of theatrical demand," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(4), pages 299-315, November.
    • Handle: RePEc:kap:jculte:v:34:y:2010:i:4:p:299-315
    DOI: 10.1007/s10824-010-9127-x
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    References listed on IDEAS

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    1. Anita Elberse & Jehoshua Eliashberg, 2003. "Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures," Marketing Science, INFORMS, vol. 22(3), pages 329-354.
    2. Holbrook, Morris B. & Schindler, Robert M., 1996. "Market segmentation based on age and attitude toward the past: Concepts, methods, and findings concerning nostalgic influences on customer tastes," Journal of Business Research, Elsevier, vol. 37(1), pages 27-39, September.
    3. David A. Reinstein & Christopher M. Snyder, 2005. "The Influence Of Expert Reviews On Consumer Demand For Experience Goods: A Case Study Of Movie Critics," Journal of Industrial Economics, Wiley Blackwell, vol. 53(1), pages 27-51, March.
    4. Jehoshua Eliashberg & Anita Elberse & Mark A.A.M. Leenders, 2006. "The Motion Picture Industry: Critical Issues in Practice, Current Research, and New Research Directions," Marketing Science, INFORMS, vol. 25(6), pages 638-661, 11-12.
    5. Arthur De Vany & W. David Walls, 2002. "Does Hollywood Make Too Many R-Rated Movies? Risk, Stochastic Dominance, and the Illusion of Expectation," The Journal of Business, University of Chicago Press, vol. 75(3), pages 425-452, July.
    6. Gerda Gemser & Martine Oostrum & Mark Leenders, 2007. "The impact of film reviews on the box office performance of art house versus mainstream motion pictures," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 31(1), pages 43-63, March.
    7. 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.
    8. Robert E. Krider, 2006. "—Research Opportunities at the Movies," Marketing Science, INFORMS, vol. 25(6), pages 662-664, 11-12.
    9. Manuel Cuadrado & Marta Frasquet, 1999. "Segmentation of Cinema Audiences: An Exploratory Study Applied to Young Consumers," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 23(4), pages 257-267, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Ana Suárez-Vázquez & José Quevedo, 2015. "Analyzing superstars’ power using support vector machines," Empirical Economics, Springer, vol. 49(4), pages 1521-1542, December.
    2. Darlene Chisholm & George Norman, 2012. "Spatial competition and market share: an application to motion pictures," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(3), pages 207-225, August.
    3. Victor Nyatefe & Mawussé Nézan Komlagan Okey, 2020. "Analyse de la consommation des biens culturels au Togo," African Development Review, African Development Bank, vol. 32(1), pages 80-95, March.
    4. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.
    5. 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.
    6. Katherine Goff Inglis & Saeed Zolfaghari, 2017. "A Review of Scheduling Problems and Research Opportunities in Motion Picture Exhibition," Interfaces, INFORMS, vol. 47(2), pages 175-187, April.

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    More about this item

    Keywords

    Motion-picture management; Theatrical demand modeling; Canonical correlation analysis; Audience demographics; L82 (entertainment Media); Z11 (economics of the arts and literature);
    All these keywords.

    JEL classification:

    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature

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