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Measuring Network Effects in a Dynamic Environment

Author

Listed:
  • Marc Rysman

    (Department of Economics, Boston University)

  • Gautam Gowrisankaran

    (University of Arizona, HEC Montreal and NBER)

  • Minsoo Park

    (Chung-Ang University)

Abstract

This paper proposes methods for identifying indirect network e ects with dynamically optimizing consumers purchasing a durable hardware good and associated software. We apply this model to data drawn from the DVD player and titles markets. We observe model-level prices, sales and characteristics of DVD players and sales and availability of DVDs monthly for 10 years. We augment these aggregate data with household survey data on player holdings. In our model, forward look- ing consumers buy possibly multiple DVD players over time and ben- e t from the evolution of the titles market. We provide a framework for addressing a series of econometric problems which have not been systematically addressed before.

Suggested Citation

  • Marc Rysman & Gautam Gowrisankaran & Minsoo Park, 2011. "Measuring Network Effects in a Dynamic Environment," Boston University - Department of Economics - Working Papers Series WP2011-061, Boston University - Department of Economics.
  • Handle: RePEc:bos:wpaper:wp2011-061
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    References listed on IDEAS

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    Cited by:

    1. Bruno Jullien & Alessandro Pavan & Marc Rysman, 2021. "Two-sided markets, pricing, and network effects," Post-Print hal-03828345, HAL.
    2. Timothy Derdenger, 2014. "Technological tying and the intensity of price competition: An empirical analysis of the video game industry," Quantitative Marketing and Economics (QME), Springer, vol. 12(2), pages 127-165, June.
    3. Emek Basker & Timothy Simcoe, 2021. "Upstream, Downstream: Diffusion and Impacts of the Universal Product Code," Journal of Political Economy, University of Chicago Press, vol. 129(4), pages 1252-1286.
    4. Gautam Gowrisankaran & Marc Rysman, 2012. "Dynamics of Consumer Demand for New Durable Goods," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1173-1219.
    5. Lee, Gong, 2022. "Indirect Network Effect and Spillover Effect in Food Delivery Platforms," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 44(4), pages 25-42.
    6. Zhou, Yiyi, 2012. "Failure to Launch in Two-Sided Markets: A Study of the U.S. Video Game Market," MPRA Paper 42002, University Library of Munich, Germany.
    7. Michael Sinkinson, 2012. "The Determinants of Supply and Demand for Mobile Applications," Working Papers 12-27, NET Institute.
    8. El Hadi Caoui, 2019. "Estimating the Costs of Standardization: Evidence from the Movie Industry," CESifo Working Paper Series 8040, CESifo.
    9. Daniel Björkegren, 2022. "Competition in network industries: Evidence from the Rwandan mobile phone network," RAND Journal of Economics, RAND Corporation, vol. 53(1), pages 200-225, March.
    10. Marc Rysman, 2019. "The reflection problem in network effect estimation," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(1), pages 153-158, January.
    11. Daniel Bjorkegren, 2020. "Competition in Network Industries: Evidence from the Rwandan Mobile Phone Network," Working Papers 2020-04, Brown University, Department of Economics.
    12. Timothy Derdenger & Vineet Kumar, 2013. "The Dynamic Effects of Bundling as a Product Strategy," Marketing Science, INFORMS, vol. 32(6), pages 827-859, November.
    13. Kevin J. Boudreau, 2021. "Promoting Platform Takeoff and Self-Fulfilling Expectations: Field Experimental Evidence," Management Science, INFORMS, vol. 67(9), pages 5953-5967, September.

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