Measuring the Effect of Music Downloads on Music Purchases

File sharing may substantially undermine intellectual property rights of digital goods. This paper concentrates on the music industry. I estimate the effect of music downloads on music sales using two data sources: a panel of aggregate music sales by country for 1997-2002 and a European individual level cross section of 15,000 people from October 2001. Using the number of internet and broadband users by country as a measure of users of P2P systems, the panel of aggregate data shows a large impact of downloads on music sales. In the micro data, a simple comparison of means shows that people who regularly download music online are more likely to buy music. The positive relationship persists when controlling for observed characteristics. However, simultaneity between tastes for music and peer-to peer usage makes it difficult to isolate the causal effect of music downloads on music purchases. To break that simultaneity, I use measures of internet sophistication and the speed of the internet connection as instruments. The results suggest that peer-to-peer usage reduces the probability of buying music by an average of 30%. Based on this estimate for the reduction in the probability of buying music, back of the envelope calculations indicate that without file sharing sales in 2002 would have been around 7.8 percent higher. * Department of Economics, University of Chicago (alezentn@uchicago.edu). I wish to thank Austan Goolsbee, Steven Levitt and Hugo Sonnenschein for their advice and encouragement. I also thank very useful comments from Nathaniel Baum-Snow, Gary Becker, Dennis Carlton, Carolina Czastkiewicz, Julio Elias, Jonah Gelbach, Thomas Hubbard, Anupam Jena, David Levine, Jose Liberti, Douglas Lichtman, Laura Martinolich, Kevin Murphy, Alejandro Rodriguez, and Chad Syverson.

[1]  Whitney K. Newey,et al.  Efficient estimation of limited dependent variable models with endogenous explanatory variables , 1987 .

[2]  D. Rivers,et al.  Limited Information Estimators and Exogeneity Tests for Simultaneous Probit Models , 1988 .

[3]  Geoffrey P. Hull The Recording Industry , 1997 .

[4]  J. Angrist,et al.  Digitized by the Internet Archive in 2011 with Funding from Estimation of Limited-dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice , 2011 .

[5]  Thomas J. Kane,et al.  Estimating Returns to Schooling When Schooling is Misreported , 1999 .

[6]  Austan Goolsbee,et al.  Does the Internet Make Markets More Competitive? Evidence from the Life Insurance Industry , 2000, Journal of Political Economy.

[7]  Austan Goolsbee Competition in the Computer Industry: Online versus Retail , 2001 .

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

[9]  Kevin M. Murphy,et al.  The Economics of Copyright ‘Fair Use’ in a Networked World , 2002 .

[10]  Peter J. Klenow,et al.  Evidence on Learning and Network Externalities in the Diffusion of Home Computers* , 2002, The Journal of Law and Economics.

[11]  Paul M. Romer,et al.  When Should We Use Intellectual Property Rights , 2002 .

[12]  D. Levine,et al.  The Case Against Intellectual Property , 2002 .

[13]  Douglas Gary Lichtman,et al.  Indirect Liability for Copyright Infringement: Napster and Beyond , 2003 .

[14]  Stan J. Liebowitz,et al.  Will Mp3 Downloads Annihilate the Record Industry? The Evidence so Far , 2003 .

[15]  Stan J. Liebowitz,et al.  Peer-to-peer networks: Creative Destruction or just Plain Destruction? , 2004 .

[16]  Stan J. Liebowitz,et al.  Pitfalls in Measuring the Impact of File-Sharing , 2004 .

[17]  Ray Corrigan,et al.  Economics of Copyright , 2019, A Textbook of Cultural Economics.