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Intra-household effects on demand for telephone service: Empirical evidence

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  • Ching-I Huang

    (National Taiwan University)

Abstract

Knowing the determinants of consumption decisions is important for targeted marketing. This paper proposes a method to study household adoption of network goods. I empirically investigate the factors which affect the interactions among household members in the choice of telephone service using a game-theoretical model. The proposed semiparametric maximum likelihood estimator accounts for potential multiple Nash equilibria. I apply the method to study the subscription decisions for cellular phone service in Taiwan. On average, a consumer’s probability of subscribing to cellular service rises 13 percentage points when the other household member chooses to subscribe, suggesting the existence of intra-household network effects. Moreover, the intra-household effect is heterogeneous among households. It increases in household income, but decreases in the number of children and the age difference within a household. Firms can substantially increase the effectiveness of a marketing strategy by targeting on the observed consumer characteristics.

Suggested Citation

  • Ching-I Huang, 2013. "Intra-household effects on demand for telephone service: Empirical evidence," Quantitative Marketing and Economics (QME), Springer, vol. 11(2), pages 231-261, June.
  • Handle: RePEc:kap:qmktec:v:11:y:2013:i:2:d:10.1007_s11129-012-9130-y
    DOI: 10.1007/s11129-012-9130-y
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    1. Ching-I Huang, 2008. "Estimating demand for cellular phone service under nonlinear pricing," Quantitative Marketing and Economics (QME), Springer, vol. 6(4), pages 371-413, December.
    2. Nicholas Economides & Katja Seim & V. Brian Viard, 2008. "Quantifying the benefits of entry into local phone service," RAND Journal of Economics, RAND Corporation, vol. 39(3), pages 699-730, September.
    3. Doganoglu, Toker & Grzybowski, Lukasz, 2007. "Estimating network effects in mobile telephony in Germany," Information Economics and Policy, Elsevier, vol. 19(1), pages 65-79, March.
    4. Federico Ciliberto & Elie Tamer, 2009. "Market Structure and Multiple Equilibria in Airline Markets," Econometrica, Econometric Society, vol. 77(6), pages 1791-1828, November.
    5. Gary Madden & Michael Simpson, 1997. "Residential broadband subscription demand: an econometric analysis of Australian choice experiment data," Applied Economics, Taylor & Francis Journals, vol. 29(8), pages 1073-1078.
    6. Daniel Birke & G. M. Peter Swann, 2007. "Network effects and the choice of mobile phone operator," Springer Books, in: Uwe Cantner & Franco Malerba (ed.), Innovation, Industrial Dynamics and Structural Transformation, pages 109-128, Springer.
    7. Patrick Bajari & Jeremy Fox & Stephen Ryan, 2008. "Evaluating wireless carrier consolidation using semiparametric demand estimation," Quantitative Marketing and Economics (QME), Springer, vol. 6(4), pages 299-338, December.
    8. Frederic Vermeulen, 2002. "Collective Household Models: Principles and Main Results," Journal of Economic Surveys, Wiley Blackwell, vol. 16(4), pages 533-564, September.
    9. Browning, Martin & Francois Bourguignon & Pierre-Andre Chiappori & Valerie Lechene, 1994. "Income and Outcomes: A Structural Model of Intrahousehold Allocation," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1067-1096, December.
    10. Patrick Bajari & Han Hong & Stephen P. Ryan, 2010. "Identification and Estimation of a Discrete Game of Complete Information," Econometrica, Econometric Society, vol. 78(5), pages 1529-1568, September.
    11. Bresnahan, Timothy F & Reiss, Peter C, 1991. "Entry and Competition in Concentrated Markets," Journal of Political Economy, University of Chicago Press, vol. 99(5), pages 977-1009, October.
    12. Duffy-Deno, Kevin T., 2001. "Demand for additional telephone lines: an empirical note," Information Economics and Policy, Elsevier, vol. 13(3), pages 283-299, September.
    13. Eugenio J. Miravete, 2002. "Estimating Demand for Local Telephone Service with Asymmetric Information and Optional Calling Plans," Review of Economic Studies, Oxford University Press, vol. 69(4), pages 943-971.
    14. Panle Jia, 2008. "What Happens When Wal-Mart Comes to Town: An Empirical Analysis of the Discount Retailing Industry," Econometrica, Econometric Society, vol. 76(6), pages 1263-1316, November.
    15. Lukasz Grzybowski, 2008. "Estimating Switching Costs in Mobile Telephony in the UK," Journal of Industry, Competition and Trade, Springer, vol. 8(2), pages 113-132, June.
    16. Vermeulen, Frederic, 2002. "Collective Household Models: Principles and Main Results," Journal of Economic Surveys, Wiley Blackwell, vol. 16(4), pages 533-564, September.
    17. Victor Chernozhukov & Han Hong & Elie Tamer, 2007. "Estimation and Confidence Regions for Parameter Sets in Econometric Models," Econometrica, Econometric Society, vol. 75(5), pages 1243-1284, September.
    18. 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.
    19. Timothy F. Bresnahan & Peter C. Reiss, 1990. "Entry in Monopoly Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(4), pages 531-553.
    20. Wesley R. Hartmann, 2010. "Demand Estimation with Social Interactions and the Implications for Targeted Marketing," Marketing Science, INFORMS, vol. 29(4), pages 585-601, 07-08.
    21. Train, Kenneth E & Ben-Akiva, Moshe & Atherton, Terry, 1989. "Consumption Patterns and Self-selecting Tariffs," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 62-73, February.
    22. Rodini, Mark & Ward, Michael R. & Woroch, Glenn A., 0. "Going mobile: substitutability between fixed and mobile access," Telecommunications Policy, Elsevier, vol. 27(5-6), pages 457-476, June.
    23. Solvason, D. Lynn, 1997. "Cross-sectional analysis of residential telephone subscription in Canada using 1994 data," Information Economics and Policy, Elsevier, vol. 9(3), pages 241-264, September.
    24. Rappoport, Paul N. & Taylor, Lester D., 1997. "Toll price elasticities estimated from a sample of U.S. residential telephone bills," Information Economics and Policy, Elsevier, vol. 9(1), pages 51-70, March.
    25. Lukasz Grzybowski & Pedro Pereira, 2011. "Subscription Choices and Switching Costs in Mobile Telephony," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 38(1), pages 23-42, January.
    26. Elie Tamer, 2003. "Incomplete Simultaneous Discrete Response Model with Multiple Equilibria," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(1), pages 147-165.
    27. Bresnahan, Timothy F. & Reiss, Peter C., 1991. "Empirical models of discrete games," Journal of Econometrics, Elsevier, vol. 48(1-2), pages 57-81.
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    Cited by:

    1. David Card & Laura Giuliano, 2013. "Peer Effects and Multiple Equilibria in the Risky Behavior of Friends," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1130-1149, October.
    2. Basaran, Alparslan A. & Cetinkaya, Murat & Bagdadioglu, Necmiddin, 2014. "Operator choice in the mobile telecommunications market: Evidence from Turkish urban population," Telecommunications Policy, Elsevier, vol. 38(1), pages 1-13.

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    More about this item

    Keywords

    Consumption externality; Multiple Nash equilibria; Demand estimation; Mobile phone service; Network effect; Targeted marketing;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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