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Empirical Analysis of Indirect Network Effects in the Market for Personal Digital Assistants

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  • Nair, Harikesh S.

    (Stanford U)

  • Chintagunta, Pradeep

    (U of Chicago)

  • Dube, Jean-Pierre

Abstract

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.

Suggested Citation

  • Nair, Harikesh S. & Chintagunta, Pradeep & Dube, Jean-Pierre, 2003. "Empirical Analysis of Indirect Network Effects in the Market for Personal Digital Assistants," Research Papers 1948, Stanford University, Graduate School of Business.
  • Handle: RePEc:ecl:stabus:1948
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    References listed on IDEAS

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    1. Michael Spence, 1976. "Product Selection, Fixed Costs, and Monopolistic Competition," Review of Economic Studies, Oxford University Press, vol. 43(2), pages 217-235.
    2. Church, Jeffrey & Gandal, Neil, 1992. "Network Effects, Software Provision, and Standardization," Journal of Industrial Economics, Wiley Blackwell, vol. 40(1), pages 85-103, March.
    3. Chou, Chien-fu & Shy, Oz, 1996. "Do consumers gain or lose when more people buy the same brand," European Journal of Political Economy, Elsevier, vol. 12(2), pages 309-330, September.
    4. Cardell, N. Scott, 1997. "Variance Components Structures for the Extreme-Value and Logistic Distributions with Application to Models of Heterogeneity," Econometric Theory, Cambridge University Press, vol. 13(2), pages 185-213, April.
    5. Dixit, Avinash K & Stiglitz, Joseph E, 1977. "Monopolistic Competition and Optimum Product Diversity," American Economic Review, American Economic Association, vol. 67(3), pages 297-308, June.
    6. Hiroshi Ohashi, 2003. "The Role of Network Effects in the US VCR Market, 1978–1986," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 12(4), pages 447-494, December.
    7. Erik Brynjolfsson & Chris F. Kemerer, 1996. "Network Externalities in Microcomputer Software: An Econometric Analysis of the Spreadsheet Market," Management Science, INFORMS, vol. 42(12), pages 1627-1647, December.
    8. Pakes, Ariel & Pollard, David, 1989. "Simulation and the Asymptotics of Optimization Estimators," Econometrica, Econometric Society, vol. 57(5), pages 1027-1057, September.
    9. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    10. Amiya Basu & Tridib Mazumdar & S. P. Raj, 2003. "Indirect Network Externality Effects on Product Attributes," Marketing Science, INFORMS, vol. 22(2), pages 209-221, April.
    11. Sushil Bikhchandani & David Hirshleifer & Ivo Welch, 1998. "Learning from the Behavior of Others: Conformity, Fads, and Informational Cascades," Journal of Economic Perspectives, American Economic Association, vol. 12(3), pages 151-170, Summer.
    12. David Besanko & Sachin Gupta & Dipak Jain, 1998. "Logit Demand Estimation Under Competitive Pricing Behavior: An Equilibrium Framework," Management Science, INFORMS, vol. 44(11-Part-1), pages 1533-1547, November.
    13. Marc Rysman, 2004. "Competition Between Networks: A Study of the Market for Yellow Pages," Review of Economic Studies, Oxford University Press, vol. 71(2), pages 483-512.
    14. Karaca-Mandic, Pinar, 2003. "Network Effects in Technology Adoption: The Case of DVD Players," Department of Economics, Working Paper Series qt3zj05321, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    15. Nicholas Economides & Charles Himmelberg, 1995. "Critical Mass and Network Size with Application to the US Fax Market," Working Papers 95-11, New York University, Leonard N. Stern School of Business, Department of Economics.
    16. Simon P. Anderson & Andre de Palma & Jacques-Francois Thisse, 1987. "Demand for Differentiated Products," Discussion Papers 726, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    17. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    18. Sachin Gupta & Dipak C. Jain & Mohanbir S. Sawhney, 1999. "Modeling the Evolution of Markets with Indirect Network Externalities: An Application to Digital Television," Marketing Science, INFORMS, vol. 18(3), pages 396-416.
    19. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, Oxford University Press, vol. 107(3), pages 797-817.
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    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

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