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The Effect of P2P File Sharing on Music Markets: A Survival Analysis of Albums on Ranking Charts

Author

Listed:
  • Sudip Bhattacharjee

    (School of Business, University of Connecticut)

  • Ram D. Gopal

    (School of Business, University of Connecticut)

  • Kaveepan Lertwachara

    (School of Business, University of Connecticut)

  • James R. Marsden

    (School of Business, University of Connecticut)

  • Rahul Telang

    (H John Heinz III School of Public Policy and Management, Carnegie Mellon University)

Abstract

Recent technological and market forces have profoundly impacted the music industry. Emphasizing threats from peer-to-peer (P2P) technologies, the industry continues to seek sanctions against individuals who offer significant number of songs for others to copy. Yet there is little rigorous empirical analysis of the impacts of online sharing on the success of music products. Combining data on the performance of music albums on the Billboard charts with file sharing data from a popular network, we: 1) assess the impact of recent developments related to the music industry on survival of music albums on the charts, and 2) evaluate the specific impact of P2P sharing on an album’s survival on the charts. In the post P2P era, we find significantly reduced chart survival. The second phase of our study isolates the impact of file sharing on album survival. We find that sharing does not seem to hurt the survival of albums.

Suggested Citation

  • Sudip Bhattacharjee & Ram D. Gopal & Kaveepan Lertwachara & James R. Marsden & Rahul Telang, 2005. "The Effect of P2P File Sharing on Music Markets: A Survival Analysis of Albums on Ranking Charts," Working Papers 05-26, NET Institute, revised Oct 2005.
    • Handle: RePEc:net:wpaper:0526
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    References listed on IDEAS

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    1. 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.
    2. Hamlen, William A, Jr, 1991. "Superstardom in Popular Music: Empirical Evidence," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 729-733, November.
    3. Eric Strobl & Clive Tucker, 2000. "The Dynamics of Chart Success in the U.K. Pre-Recorded Popular Music Industry," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 24(2), pages 113-134, May.
    4. Adler, Moshe, 1985. "Stardom and Talent," American Economic Review, American Economic Association, vol. 75(1), pages 208-212, March.
    5. Kathleen Reavis Conner & Richard P. Rumelt, 1991. "Software Piracy: An Analysis of Protection Strategies," Management Science, INFORMS, vol. 37(2), pages 125-139, February.
    6. Erik Brynjolfsson & Michael D. Smith, 2000. "Frictionless Commerce? A Comparison of Internet and Conventional Retailers," Management Science, INFORMS, vol. 46(4), pages 563-585, April.
    7. Bakos, Yannis & Brynjolfsson, Erik & Lichtman, Douglas, 1999. "Shared Information Goods," Journal of Law and Economics, University of Chicago Press, vol. 42(1), pages 117-155, April.
    8. W. Crain & Robert Tollison, 2002. "Consumer Choice and the Popular Music Industry: A Test of the Superstar Theory," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 29(1), pages 1-9, March.
    9. Franklin Mixon & Rand Ressler, 2000. "A Note on Elasticity and Price Dispersions in the Music Recording Industry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 17(4), pages 465-470, December.
    10. MacDonald, Glenn M, 1988. "The Economics of Rising Stars," American Economic Review, American Economic Association, vol. 78(1), pages 155-166, March.
    11. Bradlow E. T & Fader P. S, 2001. "A Bayesian Lifetime Model for the," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 368-381, June.
    12. Chung, Kee H & Cox, Raymond A K, 1994. "A Stochastic Model of Superstardom: An Application of the Yule Distribution," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 771-775, November.
    13. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    14. Rosen, Sherwin, 1981. "The Economics of Superstars," American Economic Review, American Economic Association, vol. 71(5), pages 845-858, December.
    15. Cunningham, Brendan M. & Alexander, Peter J. & Adilov, Nodir, 2004. "Peer-to-peer file sharing communities," Information Economics and Policy, Elsevier, vol. 16(2), pages 197-213, June.
    16. Bell, Ann Maria, 2002. "Locally interdependent preferences in a general equilibrium environment," Journal of Economic Behavior & Organization, Elsevier, vol. 47(3), pages 309-333, March.
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    1. Sumiko Asai, 2008. "Factors Affecting Hits in Japanese Popular Music," Journal of Media Economics, Taylor & Francis Journals, vol. 21(2), pages 97-113.
    2. Diana López & Daymler O'Farrill & Josué Pérez & Beatriz Velasquez, 2017. "Determinants on firm survival in Chile: Evidence from cohort 2010 for the period 2011-15," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Big Data, volume 44, Bank for International Settlements.

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    Keywords

    peer-to-peer; digitized music; online file sharing; survival.;
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