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Complementarities and the Demand for Home Broadband Internet Services

Author

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  • Hongju Liu

    (School of Business, University of Connecticut, Connecticut 06269)

  • Pradeep K. Chintagunta

    (Booth School of Business, University of Chicago, Chicago, Illinois 60637)

  • Ting Zhu

    (Booth School of Business, University of Chicago, Chicago, Illinois 60637)

Abstract

Before the deregulation of digital subscriber line (DSL) services by the Federal Communications Commission (FCC) in 2005, phone companies were required to share their DSL bandwidth with independent DSL providers. Despite the large number of independent providers that entered the market, phone companies accounted for 95.3% of all DSL subscribers in 2005. A common explanation for this is based on supply-side factors such as the costs faced by these providers to lease phone lines from phone companies, as well as the price discounts offered by phone companies. In this paper, we look for a demand-side explanation for this market outcome. Analyzing consumer choices in the broadband category alone would lead us to the conclusion that consumers have a much higher preference for their local phone providers--a finding at odds with service awards received by independent DSL providers. Thus we look for a demand-side explanation that is based on the demand not just for broadband services but also for related services such as cable TV and local phone. We find evidence of strong complementarities between the consumption of broadband and of those related categories. The main source of such complementarities, in our data, is the benefits to consumers from having a single provider for multiple services. We then carry out counterfactual experiments assuming that there are no changes in the regular prices of the various services. Our results indicate that the share of phone companies in the broadband market would have been 43% smaller without complementarities stemming from such a single-provider effect, whereas shutting off the state dependence effects would have reduced their share by 30%, and shutting off the effects of price discounts on the DSL+local phone bundle would have resulted in their share declining by 21%.

Suggested Citation

  • Hongju Liu & Pradeep K. Chintagunta & Ting Zhu, 2010. "Complementarities and the Demand for Home Broadband Internet Services," Marketing Science, INFORMS, vol. 29(4), pages 701-720, 07-08.
  • Handle: RePEc:inm:ormksc:v:29:y:2010:i:4:p:701-720
    DOI: 10.1287/mksc.1090.0551
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    References listed on IDEAS

    as
    1. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    2. Amil Petrin, 2002. "Quantifying the Benefits of New Products: The Case of the Minivan," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 705-729, August.
    3. Erdem, Tulin & Sun, Baohong, 2001. "Testing for Choice Dynamics in Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 142-152, April.
    4. Alan L. Montgomery & Eric T. Bradlow, 1999. "Why Analyst Overconfidence About the Functional Form of Demand Models Can Lead to Overpricing," Marketing Science, INFORMS, vol. 18(4), pages 569-583.
    5. Jeremy T. Fox & Amit Gandhi, 2009. "Identifying Heterogeneity in Economic Choice Models," NBER Working Papers 15147, National Bureau of Economic Research, Inc.
    6. P. Seetharaman & Siddhartha Chib & Andrew Ainslie & Peter Boatwright & Tat Chan & Sachin Gupta & Nitin Mehta & Vithala Rao & Andrei Strijnev, 2005. "Models of Multi-Category Choice Behavior," Marketing Letters, Springer, vol. 16(3), pages 239-254, December.
    7. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, January.
    8. Amit Gandhi & Jeremy T. Fox, 2009. "Identifying Heterogeneity in Economic Choice and Selection Models Using Mixtures," 2009 Meeting Papers 165, Society for Economic Dynamics.
    9. Inseong Song & Pradeep K. Chintagunta, 2006. "Measuring Cross-Category Price Effects with Aggregate Store Data," Management Science, INFORMS, vol. 52(10), pages 1594-1609, October.
    10. Kenneth E. Train & Daniel L. McFadden & Moshe Ben-Akiva, 1987. "The Demand for Local Telephone Service: A Fully Discrete Model of Residential Calling Patterns and Service Choices," RAND Journal of Economics, The RAND Corporation, vol. 18(1), pages 109-123, Spring.
    11. Oz Shy, 1996. "Industrial Organization: Theory and Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691795, April.
    12. Park, Rolla Edward & Wetzel, Bruce M & Mitchell, Bridger M, 1983. "Price Elasticities for Local Telephone Calls," Econometrica, Econometric Society, vol. 51(6), pages 1699-1730, November.
    13. Matthew Gentzkow, 2007. "Valuing New Goods in a Model with Complementarity: Online Newspapers," American Economic Review, American Economic Association, vol. 97(3), pages 713-744, June.
    14. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    15. Austan Goolsbee & Amil Petrin, 2004. "The Consumer Gains from Direct Broadcast Satellites and the Competition with Cable TV," Econometrica, Econometric Society, vol. 72(2), pages 351-381, March.
    16. S. Sriram & Pradeep K. Chintagunta & Manoj K. Agarwal, 2010. "Investigating Consumer Purchase Behavior in Related Technology Product Categories," Marketing Science, INFORMS, vol. 29(2), pages 291-314, 03-04.
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