Video Killed the Radio Star? Online Music Videos and Recorded Music Sales

We study the heterogeneous effects of online video platforms on the sales volume and sales distribution of recorded music. Identification comes from two natural experiments in Germany. In 2009, virtually all music videos were blocked from YouTube due to a legal dispute. In 2013, the dedicated platform VEVO entered the market, making videos of a large number of artists available overnight. Our estimates suggest that restricting (enabling) access to online videos decreases (increases) recorded music sales on average by about 5-10%. We show that the effect operates independently of the nature of video content, suggesting that user-generated content is as effective as official content. Moreover, we highlight heterogeneity in this effect: Online music video disproportionally benefits sales of new artists and sales of mainstream music.

[1]  Yong Tan,et al.  Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube , 2012, Inf. Syst. Res..

[2]  Michael D. Smith,et al.  Internet adoption and the survival of print newspapers: A country-level examination , 2016, Inf. Econ. Policy.

[3]  Felix Oberholzer-Gee,et al.  The Effect of File Sharing on Record Sales: An Empirical Analysis , 2007, Journal of Political Economy.

[4]  Arun Sundararajan,et al.  Recommendation Networks and the Long Tail of Electronic Commerce , 2010, MIS Q..

[5]  Feng Zhu,et al.  Ad Revenue and Content Commercialization: Evidence from Blogs ∗ , 2011 .

[6]  Ulrich Kaiser,et al.  Targeted Advertising in Magazine Markets and the Advent of the Internet , 2013, Manag. Sci..

[7]  Juanjuan Zhang,et al.  How Does Popularity Information Affect Choices? A Field Experiment , 2009 .

[8]  Chrysanthos Dellarocas,et al.  Media, Aggregators and the Link Economy: Strategic Hyperlink Formation in Content Networks , 2010 .

[9]  Gediminas Adomavicius,et al.  Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.

[10]  Amedeo Piolatto,et al.  Music piracy: A case of "The Rich Get Richer and the Poor Get Poorer" , 2012, Inf. Econ. Policy.

[11]  Oliver Hinz,et al.  Drivers of the Long Tail Phenomenon: An Empirical Analysis , 2011, J. Manag. Inf. Syst..

[12]  B. Klein,et al.  The Role of Market Forces in Assuring Contractual Performance , 1981, Journal of Political Economy.

[13]  Andres Hervas-Drane,et al.  Recommended for You: The Effect of Word of Mouth on Sales Concentration , 2015 .

[14]  Chuang Liu,et al.  Strong ties promote the epidemic prevalence in susceptible-infected-susceptible spreading dynamics , 2013, ArXiv.

[15]  Patrick Waelbroeck,et al.  Why the Music Industry May Gain from Free Downloading - the Role of Sampling , 2006 .

[16]  Franklin Allen,et al.  Reputation and Product Quality , 1984 .

[17]  Ronald H. Coase,et al.  Payola in Radio and Television Broadcasting , 1979, The Journal of Law and Economics.

[18]  Joel Waldfogel,et al.  Quality Predictability and the Welfare Benefits from New Products: Evidence from the Digitization of Recorded Music , 2016, Journal of Political Economy.

[19]  Heidi L. Williams,et al.  Intellectual Property Rights and Innovation: Evidence from the Human Genome , 2013, Journal of Political Economy.

[20]  Kartik Hosanagar,et al.  Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity , 2007, Manag. Sci..

[21]  Erik Brynjolfsson,et al.  Research Commentary - Long Tails vs. Superstars: The Effect of Information Technology on Product Variety and Sales Concentration Patterns , 2010, Inf. Syst. Res..

[22]  Martin Kretschmer.  Artists' earnings and copyright: A review of British and German music industry data in the context of digital technologies , 2005, First Monday.

[23]  Dokyun Lee,et al.  How Do Recommender Systems Affect Sales Diversity? A Cross-Category Investigation via Randomized Field Experiment , 2019, Inf. Syst. Res..

[24]  Julio Raffo,et al.  How to play the “Names Game”: Patent retrieval comparing different heuristics , 2009 .

[25]  Alan T. Sorensen.  Bestseller Lists and Product Variety , 2007 .

[26]  Alan T. Sorensen,et al.  Information and the Skewness of Music Sales , 2009, Journal of Political Economy.

[27]  Dominik Papies,et al.  On-demand streaming services and music industry revenues — Insights from Spotify's market entry , 2016 .

[28]  Mirjam Wattenhofer,et al.  YouTube around the world: geographic popularity of videos , 2012, WWW.

[29]  Paul R. Milgrom,et al.  Good News and Bad News: Representation Theorems and Applications , 1981 .

[30]  E. Duflo,et al.  How Much Should We Trust Differences-in-Differences Estimates? , 2001 .

[31]  Arun Sundararajan,et al.  The Visible Hand? Demand Effects of Recommendation Networks in Electronic Markets , 2012, Manag. Sci..

[32]  Eli M. Noam,et al.  Peer-to-peer file sharing and cultural trade protectionism , 2017, Inf. Econ. Policy.

[33]  Laurina Zhang,et al.  Intellectual Property Strategy and the Long Tail: Evidence from the Recorded Music Industry , 2014, Manag. Sci..

[34]  Lesley Chiou,et al.  Content Aggregation by Platforms: The Case of the News Media , 2015 .

[35]  David Autor.  Outsourcing at Will: The Contribution of Unjust Dismissal Doctrine to the Growth of Employment Outsourcing , 2001, Journal of Labor Economics.

[36]  Matthew J. Salganik,et al.  Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market , 2006, Science.

[37]  Michael D. Smith,et al.  Gone in 60 Seconds: The Impact of the Megaupload Shutdown on Movie Sales , 2013 .

[38]  Joel Waldfogel,et al.  Pop Internationalism: Has Half a Century of World Music Trade Displaced Local Culture? , 2010 .

[39]  Lisa N. Takeyama.  The Welfare Implications of Unauthorized Reproduction of Intellectual Property in the Presence of Demand Network Externalities , 1994 .

[40]  Joel Waldfogel,et al.  Movie piracy and sales displacement in two samples of Chinese consumers , 2012, Inf. Econ. Policy.

[41]  Hailiang Chen,et al.  IT-Enabled Broadcasting in Social Media: An Empirical Study of Artists’ Activities and Music Sales , 2014, Inf. Syst. Res..

[42]  R. Rob,et al.  Piracy on the Silver Screen , 2006 .

[43]  Chris Anderson.  The long tail : how endless choice is creating unlimited demand , 2006 .

[44]  Lixin Gao,et al.  The impact of YouTube recommendation system on video views , 2010, IMC '10.

[45]  Stan J. Liebowitz.  Don't Play it Again Sam: Radio Play, Record Sales, and Property Rights , 2007 .

[47]  Adrian Adermon,et al.  Piracy and Music Sales: The Effects of An Anti-Piracy Law , 2014 .

[48]  J. Waldfogel,et al.  Streaming Reaches Flood Stage: Does Spotify Stimulate or Depress Music Sales? , 2015 .

[49]  Alfonso Gambardella,et al.  The User Innovation Paradigm: Impacts on Markets and Welfare , 2015, Manag. Sci..

[50]  Bin Gu,et al.  Content Contribution for Revenue Sharing and Reputation in Social Media: A Dynamic Structural Model , 2012, J. Manag. Inf. Syst..

[51]  Sanford J. Grossman.  The Informational Role of Warranties and Private Disclosure about Product Quality , 1981, The Journal of Law and Economics.

[52]  K. Hui,et al.  Piracy and the Legitimate Demand for Recorded Music , 2002 .

[53]  J. Poort,et al.  Elvis Is Returning to the Building: Understanding a Decline in Unauthorized File Sharing , 2015 .

[54]  Lisa M. George,et al.  Youtube Decade: Cultural Convergence in Recorded Music , 2014 .

[55]  Rahul Telang,et al.  Converting Pirates Without Cannibalizing Purchasers: The Impact of Digital Distribution on Physical Sales and Internet Piracy , 2010, Mark. Sci..

[56]  T. Kretschmer,et al.  Piracy and Box Office Movie Revenues: Evidence from Megaupload , 2017 .

[57]  Lassi A. Liikkanen,et al.  Music on YouTube: User engagement with traditional, user-appropriated and derivative videos , 2015, Comput. Hum. Behav..

[58]  Alan T. Sorensen,et al.  Observational Learning and Demand for Search Goods , 2012 .

[59]  Mohammad S. Rahman,et al.  Battle of the Retail Channels: How Product Selection and Geography Drive Cross-Channel Competition , 2009, Manag. Sci..

[60]  Rahul Telang,et al.  The Effect of Graduated Response Anti‐Piracy Laws on Music Sales: Evidence from an Event Study in France , 2014 .

[61]  Wen Wen,et al.  Research Note - The Impact of Intellectual Property Rights Enforcement on Open Source Software Project Success , 2013, Inf. Syst. Res..

[62]  Erik Brynjolfsson,et al.  Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales , 2011, Manag. Sci..

[63]  Yong Tan,et al.  Do I Follow My Friends or the Crowd? Information Cascades in Online Movie Ratings , 2014, Manag. Sci..

[64]  Alejandro Zentner.  Measuring the Effect of File Sharing on Music Purchases* , 2006, The Journal of Law and Economics.

[65]  Sylvain Dejean,et al.  On the complementarity between online and offline music consumption: the case of free streaming , 2014 .

[66]  Tim Paul Thomes.  An economic analysis of online streaming music services , 2013, Inf. Econ. Policy.

[67]  Anuj Kumar,et al.  The Demand Effects of Joint Product Advertising in Online Videos , 2014, Manag. Sci..

[68]  Felix Eggers,et al.  Music for free? How free ad-funded downloads affect consumer choice , 2011 .

[69]  R. Scott Hiller,et al.  Sales displacement and streaming music: Evidence from YouTube , 2016, Inf. Econ. Policy.

[70]  Jilin Zhang,et al.  How YouTube videos are discovered and its impact on video views , 2015, Multimedia Tools and Applications.

[71]  Rahul Telang,et al.  The Effect of Digital Sharing Technologies on Music Markets: A Survival Analysis of Albums on Ranking Charts , 2007, Manag. Sci..

[72]  Inge Geyskens,et al.  How cannibalistic is the internet channel? A study of the newspaper industry in the United Kingdom and the Netherlands , 2002 .

[73]  Yu He,et al.  The YouTube video recommendation system , 2010, RecSys '10.

[74]  C. Shapiro.  Premiums for High Quality Products as Returns to Reputations , 1983 .

[75]  Jui Ramaprasad,et al.  Social Media, Traditional Media, and Music Sales , 2014, MIS Q..

[76]  Bart J. Bronnenberg,et al.  Changing Their Tune: How Consumers' Adoption of Online Streaming Affects Music Consumption and Discovery , 2017, Mark. Sci..

[77]  Mark A. Schankerman,et al.  Patents and Cumulative Innovation: Causal Evidence from the Courts , 2013 .

[78]  S. Liebowitz.  How much of the decline in sound recording sales is due to file-sharing? , 2016 .

[79]  Luis Aguiar,et al.  Even the losers get lucky sometimes: New products and the evolution of music quality since Napster , 2016, Inf. Econ. Policy.

[80]  Pedro Cano,et al.  From hits to niches?: or how popular artists can bias music recommendation and discovery , 2008, NETFLIX '08.

[81]  Rahul Telang,et al.  Culling the Herd: Using Real World Randomized Experiments to Measure Social Bias with Known Costly Goods , 2016, Manag. Sci..