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An Empirical Study of Factors Relating to the Success of Broadway Shows

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  • Jeffrey S. Simonoff

    (New York Univeristy)

Abstract

This article uses the Cox proportional hazards model to analyze recent Broadway show data to investigate the factors that relate to the longevity of shows. The type of show, whether a show is a revival, and first-week attendance for the show are predictive for longevity. Favorable critic reviews in the New York Daily News are related to greater success, but reviews in the New York Times are not. Winning major Tony Awards is associated with a longer run for a show, but being nominated for Tonys and then losing is associated with a shorter postaward run.

Suggested Citation

  • Jeffrey S. Simonoff, 2003. "An Empirical Study of Factors Relating to the Success of Broadway Shows," The Journal of Business, University of Chicago Press, vol. 76(1), pages 135-150, January.
    • Handle: RePEc:ucp:jnlbus:v:76:y:2003:i:1:p:135-150
    DOI: 10.1086/344116
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    Cited by:

    1. Øyvind Horverak, 2009. "—Wine Journalism—Marketing or Consumers' Guide?," Marketing Science, INFORMS, vol. 28(3), pages 573-579, 05-06.
    2. David Maddison, 2005. "Are There Too Many Revivals on Broadway? A Stochastic Dominance Approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(4), pages 325-334, November.
    3. Melissa Boyle & Lesley Chiou, 2009. "Broadway productions and the value of a Tony Award," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 33(1), pages 49-68, February.
    4. David Giles, 2007. "Survival of the hippest: life at the top of the hot 100," Applied Economics, Taylor & Francis Journals, vol. 39(15), pages 1877-1887.
    5. Richard Borghesi & Joel Houston & Andy Naranjo, 2007. "Value, Survival, and the Evolution of Firm Organizational Structure," Financial Management, Financial Management Association International, vol. 36(3), pages 5-31, September.
    6. A. E. Scorcu & R. Zanola, 2011. "Survival in the Cultural Market: The Case of Temporary Exhibitions," Working Paper series 36_11, Rimini Centre for Economic Analysis.
    7. Geppert, John M. & Ivanov, Stoyu I. & Karels, Gordon V., 2010. "Analysis of the probability of deletion of S&P 500 companies: Survival analysis and neural networks approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(2), pages 191-201, May.
    8. Tseng Peggy H. & Kulkarni Gauri, 2013. "Examining the Dynamics of Consumer Interest and Live Performance Event TicketSales in the Presence of a Critical Industry-Wide Event," Review of Marketing Science, De Gruyter, vol. 11(1), pages 33-53, November.
    9. Sacit Hadi Akdede & Ayla Oğus, 2009. "Death As A Measure Of Duration Of Conflict," Defence and Peace Economics, Taylor & Francis Journals, vol. 20(6), pages 465-476.
    10. David Maddison, 2004. "Increasing returns to information and the survival of broadway theatre productions," Applied Economics Letters, Taylor & Francis Journals, vol. 11(10), pages 639-643.
    11. Sacit Hadi Akdede & Ayla Ogus, 2006. "Increasing returns to information and the survival of Turkish public theatre plays," Applied Economics Letters, Taylor & Francis Journals, vol. 13(12), pages 785-788.
    12. Keith Brown, 2007. "How many viewers does a cable network need? A survival analysis of cable networks," Applied Economics, Taylor & Francis Journals, vol. 39(20), pages 2581-2587.
    13. Frederick Derrick & Nancy Williams & Charles Scott, 2014. "A two-stage proxy variable approach to estimating movie box office receipts," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(2), pages 173-189, May.

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