IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01613821.html
   My bibliography  Save this paper

Time spent on New Songs: Word of Mouth and Price Effects on Teenager Consumption

Author

Listed:
  • Noémi Berlin

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Anna Bernard
  • Guillaume Fürst

Abstract

The stardom system characterizes creative industries: the demand and revenues are concentrated on a few bestselling books, movies or music. In this paper, we study the demand structure between bestsellers and new artists' productions in the music industry. We set up an experiment where participants face real choice's situations. We create three treatments to isolate the effect of information and incentives on diversity. In a first treatment, music is consumed for free without information. In a second one, subjects receive a prior information on others' evaluation of songs to study the effect of word-of-mouth. Finally, in a third one, a real market is introduced and music is bought. Significant evidence shows that word-of-mouth lowers diversity, while price incentives tend to lift it. In both treatments, subjects also react to the information or incentives nature.

Suggested Citation

  • Noémi Berlin & Anna Bernard & Guillaume Fürst, 2015. "Time spent on New Songs: Word of Mouth and Price Effects on Teenager Consumption," Post-Print hal-01613821, HAL.
    • Handle: RePEc:hal:journl:hal-01613821
    DOI: 10.1007/s10824-014-9235-0
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Adler, Moshe, 1985. "Stardom and Talent," American Economic Review, American Economic Association, vol. 75(1), pages 208-212, March.
    2. Bianchi, Marina, 2002. "Novelty, preferences, and fashion: when goods are unsettling," Journal of Economic Behavior & Organization, Elsevier, vol. 47(1), pages 1-18, January.
    3. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    4. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    5. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    6. Adler, Moshe, 2006. "Stardom and Talent," Handbook of the Economics of Art and Culture, in: V.A. Ginsburgh & D. Throsby (ed.), Handbook of the Economics of Art and Culture, edition 1, volume 1, chapter 25, pages 895-906, Elsevier.
    7. Rosen, Sherwin, 1981. "The Economics of Superstars," American Economic Review, American Economic Association, vol. 71(5), pages 845-858, December.
    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. Patrizia Lattarulo & Marco Mariani & Laura Razzolini, 2017. "Nudging museums attendance: a field experiment with high school teens," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(3), pages 259-277, August.
    2. Bronwyn Coate & Robert Hoffmann, 2022. "The behavioural economics of culture," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 46(1), pages 3-26, March.
    3. Marc Bourreau & Marianne Lumeau & Francois Moreau & Jordana Viotto da Cruz, 2019. "Recent or Free? An Experimental Study of the Motivations for Pirating Movies," CESifo Working Paper Series 8036, CESifo.

    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. Christian Handke & Carolina Dalla Chiesa, 2022. "The art of crowdfunding arts and innovation: the cultural economic perspective," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 46(2), pages 249-284, June.
    2. Lutter, Mark, 2014. "Creative success and network embeddedness: Explaining critical recognition of film directors in Hollywood, 1900-2010," MPIfG Discussion Paper 14/11, Max Planck Institute for the Study of Societies.
    3. Hofmann, Julian & Clement, Michel & Völckner, Franziska & Hennig-Thurau, Thorsten, 2017. "Empirical generalizations on the impact of stars on the economic success of movies," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 442-461.
    4. Keuschnigg, Marc, 2015. "Product Success in Cultural Markets: The Mediating Role of Familiarity, Peers, and Experts," MPRA Paper 63444, University Library of Munich, Germany.
    5. Aloys Prinz & Jan Piening & Thomas Ehrmann, 2015. "The success of art galleries: a dynamic model with competition and information effects," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(2), pages 153-176, May.
    6. Philipp Kircher & Andrew Postlewaite, 2008. "Strategic Firms and Endogenous Consumer Emulation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(2), pages 621-661.
    7. Budzinski, Oliver & Kohlschreiber, Marie & Kuchinke, Björn & Pannicke, Julia, 2019. "Does music quality matter for audience voters in a music contest?," Ilmenau Economics Discussion Papers 122, Ilmenau University of Technology, Institute of Economics.
    8. Monteiro, Paulo Klinger & Moraga-González, José Luis, 2003. "We Sold a Million Units -- The Role of Advertising Past-Sales," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 57(2), April.
    9. Popovic, Milenko, 2009. "Dynamic Models of Arts Labor Supply," MPRA Paper 19397, University Library of Munich, Germany.
    10. Liangfei Qiu & Arunima Chhikara & Asoo Vakharia, 2021. "Multidimensional Observational Learning in Social Networks: Theory and Experimental Evidence," Information Systems Research, INFORMS, vol. 32(3), pages 876-894, September.
    11. 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.
    12. Lasse Steiner & Lucian Schneider, 2012. "The Happy Artist?: An Empirical Application of the Work-Preference Model," SOEPpapers on Multidisciplinary Panel Data Research 430, DIW Berlin, The German Socio-Economic Panel (SOEP).
    13. Clarke, Jonathan & Subramanian, Ajay, 2006. "Dynamic forecasting behavior by analysts: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 80(1), pages 81-113, April.
    14. Jacobs Martin, 2016. "Accounting for Changing Tastes: Approaches to Explaining Unstable Individual Preferences," Review of Economics, De Gruyter, vol. 67(2), pages 121-183, August.
    15. Lasse Steiner & Lucian Schneider, 2013. "The happy artist: an empirical application of the work-preference model," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(2), pages 225-246, May.
    16. Mariana Carrera & Sofia Villas-Boas, 2023. "Generic Aversion and Observational Learning in the Over-the-Counter Drug Market," American Economic Journal: Applied Economics, American Economic Association, vol. 15(3), pages 380-410, July.
    17. Furmaco, L. & Longley, N. & Palermo, A. & Rossi, G., 2021. "Employees’ Performance Variation over Fixed-Term Contracts - Evidence from the National Hockey League," Working Papers 2107, Tulane University, Department of Economics.
    18. Mark Armstrong, 2017. "Ordered Consumer Search," Journal of the European Economic Association, European Economic Association, vol. 15(5), pages 989-1024.
    19. Lasse Steiner & Lucian Schneider, 2011. "The happy artist? An empirical application of the work-preference model," ECON - Working Papers 037, Department of Economics - University of Zurich.
    20. Marek Jenöffy, 2023. "A Seesaw Model of Choices," Working Papers hal-04136550, HAL.

    More about this item

    Keywords

    [No keyword available];

    JEL classification:

    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • Z1 - Other Special Topics - - Cultural Economics

    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:hal:journl:hal-01613821. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.