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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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    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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