The effect of user interaction on the demand for mobile text messages: Evidence from cross-country data
Bruno Basalisco
Information Economics and Policy, 2012, vol. 24, issue 2, 132-144
Abstract:
This work presents an empirical analysis of the impact of user interaction on the demand for telecommunications. Specifically, we measure mobile telephony demand estimating a point-to-point model of the text messaging traffic exchanged cross-network, identifying the impact of incoming traffic as well as network size. The analysis relies on a monthly dataset spanning 15 countries for the period 2002–2007. The econometric estimates of price elasticities indicate that incoming traffic is a key driver of SMS demand, as previously established for fixed telephony. A further novel contribution is the estimation of the demand impact of network size, a confounding factor for the effect of incoming traffic. The results hold implications for theories of network competition, optimal pricing by telecommunications operators and regulation.
Keywords: Mobile SMS; Price elasticity; Network effect; Point-to-point demand; Incoming traffic; Information exchange (search for similar items in EconPapers)
JEL-codes: L13 L43 L96 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167624511000436
Full text for ScienceDirect subscribers only
Related works:
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:eee:iepoli:v:24:y:2012:i:2:p:132-144
DOI: 10.1016/j.infoecopol.2011.10.001
Access Statistics for this article
Information Economics and Policy is currently edited by D. Waterman
More articles in Information Economics and Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().