2010
DOI: 10.2139/ssrn.1593598
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Mobile Termination, Network Externalities, and Consumer Expectations

Abstract: We re-examine the literature on mobile termination in the presence of network externalities. Externalities arise when firms discriminate between on-and off-net calls or when subscription demand is elastic. This literature predicts that profit decreases and consumer surplus increases in termination charge in a neighborhood of termination cost. This creates a puzzle since in reality we see regulators worldwide pushing termination rates down while being opposed by network operators. We show that this puzzle is re… Show more

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Cited by 36 publications
(51 citation statements)
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“…While the …xed fee decreases as the termination charge increases, …rms keep part of termination rents instead of passing them on to their customers; this explains why pro…t is decreasing in termination charge. As it is shown in Hurkens and López (2010), the partial waterbed e¤ect result is due to the assumption of passive consumer expectations. Nonetheless, we also observe in our asymmetric oligopoly model that lowering MTR does not always lead to increases in the …xed fee.…”
Section: Introductionmentioning
confidence: 90%
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“…While the …xed fee decreases as the termination charge increases, …rms keep part of termination rents instead of passing them on to their customers; this explains why pro…t is decreasing in termination charge. As it is shown in Hurkens and López (2010), the partial waterbed e¤ect result is due to the assumption of passive consumer expectations. Nonetheless, we also observe in our asymmetric oligopoly model that lowering MTR does not always lead to increases in the …xed fee.…”
Section: Introductionmentioning
confidence: 90%
“…Moreover, these papers conclude that the need to regulate termination charges is reduced since the socially optimal termination charge would also be above cost. In contrast, Hurkens and López (2010) …nd that total welfare is maximized with termination charges at or below cost.…”
Section: Introductionmentioning
confidence: 93%
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“…(12)). Other models that would generate a similar prediction on bills include those of Hoernig et al (2014) who model calling circles, Hurkens and Lopez (2014) who consider customers' expectations, and Jullien et al (2013), who deal with heterogeneous mobile calling patterns. For surveys on the existing literature, see Armstrong (2002), Gans et al (2005), and Hoernig and Valletti (2012).…”
Section: Interconnection and Call Terminationmentioning
confidence: 99%