IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v37y2009i2p447-461.html
   My bibliography  Save this article

Screen wars, star wars, and sequels

Author

Listed:
  • W. Walls

Abstract

No abstract is available for this item.

Suggested Citation

  • W. Walls, 2009. "Screen wars, star wars, and sequels," Empirical Economics, Springer, vol. 37(2), pages 447-461, October.
    • Handle: RePEc:spr:empeco:v:37:y:2009:i:2:p:447-461
    DOI: 10.1007/s00181-008-0240-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00181-008-0240-z
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00181-008-0240-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Hsiao, Cheng & Li, Qi & Racine, Jeffrey S., 2007. "A consistent model specification test with mixed discrete and continuous data," Journal of Econometrics, Elsevier, vol. 140(2), pages 802-826, October.
    4. Peter Hall & Jeff Racine & Qi Li, 2004. "Cross-Validation and the Estimation of Conditional Probability Densities," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 1015-1026, December.
    5. De Vany, Arthur S & Walls, W David, 1997. "The Market for Motion Pictures: Rank, Revenue, and Survival," Economic Inquiry, Western Economic Association International, vol. 35(4), pages 783-797, October.
    6. Daniel J. Henderson & Subal C. Kumbhakar, 2006. "Public and Private Capital Productivity Puzzle: A Nonparametric Approach," Southern Economic Journal, John Wiley & Sons, vol. 73(1), pages 219-232, July.
    7. Pagan,Adrian & Ullah,Aman, 1999. "Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521355643, October.
    8. 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.
    9. 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.
    10. 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.
    11. Li, Qi & Maasoumi, Esfandiar & Racine, Jeffrey S., 2009. "A nonparametric test for equality of distributions with mixed categorical and continuous data," Journal of Econometrics, Elsevier, vol. 148(2), pages 186-200, February.
    12. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    13. Li, Qi & Ouyang, Desheng, 2005. "Uniform convergence rate of kernel estimation with mixed categorical and continuous data," Economics Letters, Elsevier, vol. 86(2), pages 291-296, February.
    14. 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.
    15. Clifford M. Hurvich & Jeffrey S. Simonoff & Chih‐Ling Tsai, 1998. "Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(2), pages 271-293.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tin Cheuk Leung & Shi Qi, 2023. "Globalization and the rise of action movies in hollywood," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 47(1), pages 31-69, March.
    2. 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.
    3. Valentin Zelenyuk & Leopold Simar, 2011. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regressions," CEPA Working Papers Series WP102011, School of Economics, University of Queensland, Australia.
    4. Ana Suárez-Vázquez & José Quevedo, 2015. "Analyzing superstars’ power using support vector machines," Empirical Economics, Springer, vol. 49(4), pages 1521-1542, December.
    5. De Vany, Arthur & Lee, Cassey, 2001. "Quality signals in information cascades and the dynamics of the distribution of motion picture box office revenues," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 593-614, March.
    6. Wei, Liyuan & Yang, Yupin, 2022. "An empirical investigation of director selection in movie preproduction: A two-sided matching approach," International Journal of Research in Marketing, Elsevier, vol. 39(3), pages 888-906.
    7. Milenko POPOVIĆ & Kruna RATKOVIĆ, 2013. "Oversupply Of Labor And Other Peculiarities Of Arts Labor Market," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 4(2), pages 204-230.
    8. W. D. Walls & Jordi McKenzie, 2020. "Black swan models for the entertainment industry with an application to the movie business," Empirical Economics, Springer, vol. 59(6), pages 3019-3032, December.
    9. Li, Degui & Simar, Léopold & Zelenyuk, Valentin, 2016. "Generalized nonparametric smoothing with mixed discrete and continuous data," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 424-444.
    10. 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.
    11. Darren Filson & James H. Havlicek, 2018. "The performance of global film franchises: installment effects and extension decisions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(3), pages 447-467, August.
    12. Kang, Lili & Peng, Fei & Anwar, Sajid, 2022. "All that glitters is not gold: Do movie quality and contents influence box-office revenues in China?," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 492-510.
    13. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:clg:wpaper:2008-28 is not listed on IDEAS
    2. Daniel J. Henderson & Alexandre Olbrecht & Solomon W. Polachek, 2006. "Do Former College Athletes Earn More at Work?: A Nonparametric Assessment," Journal of Human Resources, University of Wisconsin Press, vol. 41(3).
    3. Daniel J. Henderson & Subal C. Kumbhakar, 2006. "Public and Private Capital Productivity Puzzle: A Nonparametric Approach," Southern Economic Journal, John Wiley & Sons, vol. 73(1), pages 219-232, July.
    4. Daniel J. Henderson, 2009. "A Non‐parametric Examination of Capital–Skill Complementarity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(4), pages 519-538, August.
    5. Jordi McKenzie, 2009. "Revealed word-of-mouth demand and adaptive supply: survival of motion pictures at the Australian box office," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 33(4), pages 279-299, November.
    6. Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2014. "Does Education Matter for Economic Growth?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 334-359, June.
    7. Henderson, Daniel J. & Polachek, Solomon W. & Wang, Le, 2011. "Heterogeneity in schooling rates of return," Economics of Education Review, Elsevier, vol. 30(6), pages 1202-1214.
    8. Christopher Parmeter & Kai Sun & Daniel Henderson & Subal Kumbhakar, 2014. "Estimation and inference under economic restrictions," Journal of Productivity Analysis, Springer, vol. 41(1), pages 111-129, February.
    9. Daniel J. Henderson, 2010. "A test for multimodality of regression derivatives with application to nonparametric growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 458-480.
    10. Mika Kortelainen & Simo Leppänen, 2013. "Public and private capital productivity in Russia: a non-parametric investigation," Empirical Economics, Springer, vol. 45(1), pages 193-216, August.
    11. Darlene Chisholm & Víctor Fernández-Blanco & S. Abraham Ravid & W. David Walls, 2015. "Economics of motion pictures: the state of the art," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 1-13, February.
    12. W. Walls, 2010. "Superstars and heavy tails in recorded entertainment: empirical analysis of the market for DVDs," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(4), pages 261-279, November.
    13. Selvaretnam, Geethanjali & Yang, Jen-Yuan, 2015. "Factors Affecting the Financial Success of Motion Pictures: What is the Role of Star Power?," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN 2015-19, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Darlene C Chisholm, 2011. "Motion Pictures," Chapters, in: Ruth Towse (ed.), A Handbook of Cultural Economics, Second Edition, chapter 39, Edward Elgar Publishing.
    15. W. D. Walls & Jordi McKenzie, 2020. "Black swan models for the entertainment industry with an application to the movie business," Empirical Economics, Springer, vol. 59(6), pages 3019-3032, December.
    16. 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.
    17. Selvaretnam, Geethanjali & Yang, Jen-Yuan, 2015. "Factors Affecting the Financial Success of Motion Pictures: What is the Role of Star Power?," SIRE Discussion Papers 2015-19, Scottish Institute for Research in Economics (SIRE).
    18. Simar, Leopold & Zelenyuk, Valentin, 2011. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regressions," LIDAM Discussion Papers ISBA 2011042, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    19. Caroline Elliott & Palitha Konara & Haiyi Ling & Chengang Wang & Yingqi Wei, 2018. "Behind film performance in China’s changing institutional context: The impact of signals," Asia Pacific Journal of Management, Springer, vol. 35(1), pages 63-95, March.
    20. Daniel J. Henderson & Daniel L. Millimet, 2008. "Is gravity linear?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 137-172.
    21. Selvaretnam, Geethanjali & Yang, Jen-Yuan, 2015. "Factors Affecting the Financial Success of Motion Pictures: What is the Role of Star Power?," SIRE Discussion Papers 2015-19, Scottish Institute for Research in Economics (SIRE).

    More about this item

    Keywords

    Motion-picture profit; Nonparametric regression; Hollywood economics; L82; C14;
    All these keywords.

    JEL classification:

    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:empeco:v:37:y:2009:i:2:p:447-461. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.