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Black Swan Models for the Entertainment Industry with an Application to the Movie Business

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  • W. D. Walls

    (University of Calgary)

  • J. McKenzie

Abstract

Success in popular entertainment is highly unpredictable. Yet it is the high-impact low-probability events—known as ‘black swans’—that drive entertainment industry profitability because success is highly concentrated on a small number of winners. In this research, we apply recently developed statistical tools to model motion-picture success; these tools explicitly account for rare extreme events while permitting valid statistical inferences to be made on how product attributes are associated with product success. The specific empirical application relates the attributes of a film and its theatrical release to the distribution of worldwide cumulative box-office revenue. A regression model with skew-stable random disturbances is applied to a large sample of motion pictures to quantify the correlates of film success while explicitly accounting for skewness and heavy tails. The skew-stable estimates are compared to estimates obtained from symmetric-stable regression, ordinary least-squares regression, and several alternative robust-to-outliers regression models. Failure to control explicitly for heavy tails and skewness generates misleading statistical inferences, particularly regarding the impact of production budget, opening week screens, and star power on a film’s success at the box-office.
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Suggested Citation

  • W. D. Walls & J. McKenzie, "undated". "Black Swan Models for the Entertainment Industry with an Application to the Movie Business," Working Papers 2018-04, Department of Economics, University of Calgary, revised 26 Jan 2018.
    • Handle: RePEc:clg:wpaper:2018-04
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    References listed on IDEAS

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    1. Jordi McKenzie, 2012. "The Economics Of Movies: A Literature Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 26(1), pages 42-70, February.
    2. Ravid, S Abraham, 1999. "Information, Blockbusters, and Stars: A Study of the Film Industry," The Journal of Business, University of Chicago Press, vol. 72(4), pages 463-492, October.
    3. Benoit Mandelbrot, 1967. "The Variation of Some Other Speculative Prices," The Journal of Business, University of Chicago Press, vol. 40, pages 393-393.
    4. W. Walls, 2009. "Screen wars, star wars, and sequels," Empirical Economics, Springer, vol. 37(2), pages 447-461, October.
    5. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.
    6. Robert Blattberg & Thomas Sargent, 2010. "Regression With Non-Gaussian Stable Disturbances: Some Sampling Results," World Scientific Book Chapters, in: Greg M Allenby (ed.), Perspectives On Promotion And Database Marketing The Collected Works of Robert C Blattberg, chapter 1, pages 7-16, World Scientific Publishing Co. Pte. Ltd..
    7. 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.
    8. De Vany, Arthur & Walls, W David, 1996. "Bose-Einstein Dynamics and Adaptive Contracting in the Motion Picture Industry," Economic Journal, Royal Economic Society, vol. 106(439), pages 1493-1514, November.
    9. Benoit Mandelbrot, 1963. "New Methods in Statistical Economics," Journal of Political Economy, University of Chicago Press, vol. 71, pages 421-421.
    10. W. D. Walls & Jordi McKenzie, 2012. "The Changing Role of Hollywood in the Global Movie Market," Journal of Media Economics, Taylor & Francis Journals, vol. 25(4), pages 198-219, December.
    11. Victor Ginsburgh & David Throsby, 2006. "Handbook of the economics of art and culture," ULB Institutional Repository 2013/1673, ULB -- Universite Libre de Bruxelles.
    12. Catherine Dehon & Marjorie Gassner & Vincenzo Verardi, 2009. "Beware of ‘Good’ Outliers and Overoptimistic Conclusions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(3), pages 437-452, June.
    13. W. D. Walls, "undated". "Bestsellers and Blockbusters: Movies, music, and books," Working Papers 2012-09, Department of Economics, University of Calgary.
    14. W. David Walls, 1997. "Increasing returns to information: evidence from the Hong Kong movie market," Applied Economics Letters, Taylor & Francis Journals, vol. 4(5), pages 287-290.
    15. W. D. Walls, 2009. "Robust Analysis of Movie Earnings," Journal of Media Economics, Taylor & Francis Journals, vol. 22(1), pages 20-35.
    16. Adelchi Azzalini & Antonella Capitanio, 2003. "Distributions generated by perturbation of symmetry with emphasis on a multivariate skew t‐distribution," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(2), pages 367-389, May.
    17. De Vany, Arthur S. & Walls, W. David, 2004. "Motion picture profit, the stable Paretian hypothesis, and the curse of the superstar," Journal of Economic Dynamics and Control, Elsevier, vol. 28(6), pages 1035-1057, March.
    18. Phillipe Lambert & J. K. Lindsey, 1999. "Analysing Financial Returns by Using Regression Models Based on Non‐Symmetric Stable Distributions," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 48(3), pages 409-424.
    19. 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.
    20. Marc Hallin & Catherine Vermandele & Bas J. M. Werker, 2008. "Semiparametrically efficient inference based on signs and ranks for median‐restricted models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(2), pages 389-412, April.
    21. Marc Hallin & Catherine Vermandele & Bas Werker, 2008. "Semiparametrically efficient inference based on signs and ranks statistics for median-restricted models," ULB Institutional Repository 2013/13408, ULB -- Universite Libre de Bruxelles.
    22. Lorenzo Ricci & Vincenzo Verardi & Catherine Vermandele, 2016. "A Highly Efficient Regression Estimator for Skewed and/or Heavy-tailed Distributed Errors," Working Papers 19, European Stability Mechanism.
    23. Nolan, John P. & Ojeda-Revah, Diana, 2013. "Linear and nonlinear regression with stable errors," Journal of Econometrics, Elsevier, vol. 172(2), pages 186-194.
    24. 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.
    25. Xu, Ganggang & Genton, Marc G., 2015. "Efficient maximum approximated likelihood inference for Tukey’s g-and-h distribution," Computational Statistics & Data Analysis, Elsevier, vol. 91(C), pages 78-91.
    26. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
    27. Jordi Mckenzie, 2008. "Bayesian Information Transmission and Stable Distributions: Motion Picture Revenues at the Australian Box Office," The Economic Record, The Economic Society of Australia, vol. 84(266), pages 338-353, September.
    28. Eugene F. Fama, 1963. "Mandelbrot and the Stable Paretian Hypothesis," The Journal of Business, University of Chicago Press, vol. 36, pages 420-420.
    29. Ganggang Xu & Marc G. Genton, 2017. "Tukey -and- Random Fields," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1236-1249, July.
    30. Nolan, John P., 1998. "Parameterizations and modes of stable distributions," Statistics & Probability Letters, Elsevier, vol. 38(2), pages 187-195, June.
    31. Chris Hand, 2001. "Increasing returns to information: further evidence from the UK film market," Applied Economics Letters, Taylor & Francis Journals, vol. 8(6), pages 419-421.
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