Intra-household effects on demand for telephone service: Empirical evidence
Ching-I Huang
Quantitative Marketing and Economics (QME), 2013, vol. 11, issue 2, 261 pages
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. Copyright Springer Science+Business Media New York 2013
Keywords: Consumption externality; Multiple Nash equilibria; Demand estimation; Mobile phone service; Network effect; Targeted marketing; C31; D12; M31 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1007/s11129-012-9130-y (text/html)
Access to full text is restricted to subscribers.
Related works:
Journal Article: Intra-household effects on demand for telephone service: Empirical evidence (2013) 
Working Paper: Intra-Household Effects on Demand for Telephone Service: Empirical Evidence (2008) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:qmktec:v:11:y:2013:i:2:p:231-261
Ordering information: This journal article can be ordered from
http://www.springer. ... ng/journal/11129/PS2
DOI: 10.1007/s11129-012-9130-y
Access Statistics for this article
Quantitative Marketing and Economics (QME) is currently edited by Pradeep Chintagunta
More articles in Quantitative Marketing and Economics (QME) from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().