Empirical Analysis of Indirect Network Effects in the Market for Personal Digital Assistants
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We present a framework to measure empirically the size of indirect network effects in high-technology markets with competing incompatible technology standards. These indirect network effects arise due to inter-dependence in demand for hardware and compatible software. By modeling the joint determination of hardware sales and software availability in the market, we are able to describe the nature of demand inter-dependence and to measure the size of the indirect network effects. We apply the model to price and sales data from the industry for personal digital assistants (PDAs) along with the availability of software titles compatible with each PDA hardware standard. Our empirical results indicate significant indirect network effects. By July 2002, the network effect explains roughly 22% of the log-odds ratio of the sales of all Palm O/S compatible PDA-s to Microsoft O/S compatible PDA-s, where the remaining 78% reflects price and model features. We also use our model estimates to study the growth of the installed bases of Palm and Microsoft PDA hardware, with and without the availability of compatible third party software. We find that lack of third party software negatively impacts the evolution of the installed hardware bases of both formats. These results suggest PDA hardware firms would benefit from investing resources in increasing the provision of software for their products. We then compare the benefits of investments in software with investments in the quality of hardware technology. This exercise helps disentangle the potential for incremental hardware sales due to hardware quality improvement from that of positive feedback due to market software provision.
- Anderson, S., A. De Palma, and J.F. Thisse. (1989). “Demand for Differentiated Products, Discrete Choice Models, and the Characteristics Approach”, Review of Economic Studies 56, 21-35.
- Banerjee, A. (1992). “A Simple Model of Herd Behavior”, Quarterly Journal of Economics 107, 797-817.
- Basu, A., T. Mazumdar, and S.P. Raj. (2003). “Indirect Network Externality Effects on Product Attributes”, 2002, Marketing Science 22(2), 209-221.
- Bayus, Barry L., Sanjay Jain, and Ambar G. Rao. (1997). “Too Little too Early: Introduction Timing and New Product Performance in the Personal Digital Industry”, Journal of Marketing Research 34, 50-63.
- Besanko, D., S. Gupta, and D. Jain. (1998). “Logit Demand Estimation under Competitive Pricing Behavior: An Equilibrium Framework”, Management Science 44(11), 1533-1547.
- Berry, S. (1994). “Estimating Discrete Choice Models of Product Differentiation”, Rand Journal of Economics 25(2), 242-261.
- Berry, S., J. Levinsohn, and A. Pakes. (1995). “Automobile Prices in Market Equilibrium”, Econometrica 60(4), 841-890.
- Bikhchandani, S., D. Hirshleifer, and I. Welch. (1998). “Learning from the Behavior of others: Conformity, Fads, and Informational Cascades”, Journal of Economic Perspectives 12, 151-170.
- Bresnahan, T. (2002). “The Economics of the Microsoft Case”, Working Paper, Stanford University.
- Brynjolfsson, E. and C. Kemerer. (1996). “Network Externalities in Microcomputer Software: An Econometric Analysis of the Spreadsheet Market”, Management Science 42(12), 1627-2647.
- Caminal, P. and Xavier Vives. (1996). “Why Market Shares Matter: An Information Based Theory”, Rand Journal of Economics 27(2), 221-239.
- Cardell, N.S. (1997). “Variance Component Structures for the Extreme Value and Logistic Distributions with Applications to Models of Heterogeneity”, Econometric Theory 13, 185-213.
- Chou, C.F. and O. Shy. (1996). “Do Consumers Gain or Lose When More People Buy the Same Brand?” European Journal of Political Economy 12, 309-330.
- Church, J. and N. Gandal. (1992). “Network Effects, Software Provision, and Standardization”, Journal of Industrial Economics 40, 85-104.
- Dixit, A. and J. Stiglitz. (1977). “Monopolistic Competition and Optimum Product Diversity”, American Economic Review 67, 297-308.
- Economides, N. and Charles Himmelberg. (1995). “Critical Mass and Network Size with Applications to the US Fax Market”, Discussion Paper no. EC-95-11, Stern School of Business, N.Y.U.
- Gandal, N. (1994). “Hedonic Price Indexes for Spreadsheets and an Empirical Test for Network Externalities”, Rand Journal of Economics 25(1), 160-170.
- Gandal, N., M. Kende, and R. Rob. (2000). “The Dynamics of Technological Adoption in Hardware/Software Systems: The Case of Compact Disc Players”, Rand Journal of Economics 31-1.
- Gupta, S., D. Jain, and M.S. Sawhney. (1999). “Modeling the Evolution of Markets with Indirect Network Externalities: An Application to Digital Television”, Marketing Science 18(3), 396-416.
- Karaca-Mandic, P. (2003). “Network Effects in Technology Adoption: The Case of DVD Players”, Working Paper, University of California, Berkeley.
- Ohashi, H. (2003). “The Role of Network Externalities in the US VCR Market; 1978–86”, Journal of Economics and Management Strategy 12(4), Winter.
- Pakes, A. and D. Pollard. (1989). “Simulation and the Asymptotics of Optimization Estimators”, Econometrica 57, 1027-1057.
- Park, S. (2002a). “Quantitative Analysis of Network Externalities in Competing Technologies: The VCR Case”, Working Paper, SUNY at Stony Brook.
- Park, S. (2002b). “Linear Network Benefit Function in the Presence of Indirect Network Externalities”, Working Paper, SUNY at Stony Brook.
- Rysman, M. (2003). “Competition Between Networks: A Study of the Market for Yellow Pages”, Review of Economic Studies, forthcoming.
- Saloner, G. and A. Shepard. (1995). “Adoption of Technologies with Network Externalities: An Empirical Examination of the Adoption of Automated Teller Machines”, Rand Journal of Economics 26(3), 479-501.
- Shankar, V. and B. Bayus. (2003). “Network Effects and Competition: An Empirical Analysis of the Video Game Industry”, 2002, Strategic Management Journal, forthcoming.
- Shapiro, C. and Hal R. Varian. (1999). “Information Rules: A Strategic Guide to the Network Economy”, Harvard Business School Press.
- Song, I. and P.K. Chintagunta. (2003), “A Micromodel of New Product Adoption with Heterogeneous and Forward-Looking Consumers: Application to the Digital Camera Category”, Quantitative Marketing and Economics 1(4), 371-407.
- Spence, M. (1976). “Product Selection, Fixed Costs and Monopolistic Competition”, Review of Economic Studies 43, 217-235.
- Empirical Analysis of Indirect Network Effects in the Market for Personal Digital Assistants
Quantitative Marketing and Economics
Volume 2, Issue 1 , pp 23-58
- Cover Date
- Print ISSN
- Online ISSN
- Kluwer Academic Publishers
- Additional Links
- high-technology products
- indirect network effects
- positive feedback
- Industry Sectors
- Author Affiliations
- 1. Graduate School of Business, University of Chicago, 1101 East 58th Street, Chicago, IL, 60637
- 2. Graduate School of Business, University of Chicago, 1101 East 58th Street, Chicago, IL, 60637
- 3. Graduate School of Business, University of Chicago, 1101 East 58th Street, Chicago, IL, 60637