Abstract
A substantial share of customers in emerging markets use dual-SIM phones and subscribe to two mobile networks. A primary motive for so called multi-simming is to take advantage of cheap on-net services from both networks. In our modelling effort, we augment the seminal model of competing telephone networks á la Laffont, Rey and Tirole (1998b) by a segment of flexible price hunters that may choose to multi-sim. According to our findings, in equilibrium, the networks set a high off-net price in the linear tariffs to achieve segmentation. This induces the price hunters to multi-sim. We show that increased deployment of dual-SIM phones may induce a mixing equilibrium with high expected on-net prices. Thus, somewhat paradoxically, deployment of a technology that increases substitutability, and thereby competition, may end up raising prices.
Funding source: Telenor
Award Identifier / Grant number: Telenor Research under DCVX20 RE
Acknowledgments
This paper replaces “Mobile telephony in emerging markets: the importance of multi-simming customers”. We would like to thank Bjørn Hansen, Sjaak Hurkens, Steffen Hoernig, Jochen Jungeilges, Espen Moen, Trygve Kastberg Nilssen and the participants of the 42nd EARIE Annual Conference for helpful discussions on earlier drafts of this paper. Andersson is grateful for the support of Telenor Research under DCVX20 RE.
Implications of Assumption 1
The purpose of this appendix is to discuss the implications of our assumption that the H-types do not multisim. This assumption can be justified by the H-types having a significant hassle cost h of using two sims and/or high transportation costs t. If h is high and both types of customers have the same hassle cost, also the L-types do not multisim and we are back in the world in which all users have just one subscription from one network. If h = 0, and t takes an intermediate value, some but not all of the H-types multisim. The intrinsic utility of being connected, v0, is high enough that every H-types wants to be connected to at least one network. However, it is more preferable for an H-type in the center of the Hotelling line to sign up to a second network, compared to an H-type close to the extremes. For instance, an H-type located at x = 0 would incur additional travel costs of t and an H-type located at x = 0.5 would just incur 0.5t. Consequently, depending on t, more or less H-types close to the center would multi-sim, whereas the remaining would use only one network. This is an intriguing case to be analyzed in future research. When handt are low, one may intuitively think all customers multisim. However this is not correct. Given that all other customers multisim, an H-type can reach all others on-net (and off-net) and hence has an incentive to use only one network to save transportation cost.[13] As a consequence, some H-types would always single-sim, presumably those close to the extremes of the Hotelling line.
Would it still make sense for the networks to use the off-net prices in the linear tariffs as a segmentation device when some of the H-types use two tariffs? This depends on how many H-types multisim, given
Shubik–Levitan call utility
The point of this subsection is to demonstrate a quadratic Shubik–Levitan type utility function that satisfies (1) and (2). Recall that a multi-simmer makes two types of calls: calls to single-simmers and calls to other multi-simmers. Suppose that a multi-simmer’s utility of a call to a singlesimmer at network i is given by bq − q2/2, where b is a positive constant so that the indirect utility amounts to
Hence, the demand for calls with the two SIMs is
Inserting symmetric prices in the above functions, we see directly that (1) and (2) are satisfied for all z ∈ [0, 1).
Proof of Proposition 2
Proof
Consider network 1. The proposition states that if α is sufficiently close to one or z is not too high, it is a best reply for network 1 to charge
Note, however, that to set
where
or equivalently
Depending on the parameter constellation, deviating to
This profit increase approaches zero as α approaches one. Charging
So far we have considered extremes, but that does not mean our equilibrium does not exist otherwise. If we insert the Shubik–Levitan demand functions specified above in (21) we can give some indications on the parameter space where a pure strategy equilibrium (pse) exists.[17] For simplicity, we have done all simulations for a = c and f = 0. Note that a > c will increase the parameter space where a pse exists since a network’s termination rate is maximized for equal market shares. The extremes are easily verified: if α = 1, a pse exists for all values of z ∈ [0, 1⟩, and when α < 1, a pse does not exist when z → 1. When we look at intermediate case other parameters come in to play. It can be shown that when (b − 2c)2/2 < t < 9, a pse exists for all λ > 0, α ∈ [1/2, 1⟩, and all z ∈ [0, 0.94⟩. Thus, in general, substitution (z) must be quite high for the pse to break down. Moreover, (b − 2c)2/2 < t < 9 is only a sufficient condition for a pse to exist in this {λ, α, z} space: in general it is not necessary when we evaluate (21) for specific values of λ, α,and z. Whether a pse exists for even higher values of z, i.e for z ∈ [0.94, zUP⟩ where 0.94 < zUP < 1 depends on α and λ. In general we can assert the following: given the previous sufficient condition, a pse will exist for zUP arbitrarely close to 1, (i) for all λ > 0 and all α ∈ [αLOW, 1⟩, where 1/2 < αLOW < 1, if αLOW is sufficiently close 1, or (ii) for all λ > λMIN and all α ∈ [1/2, 1⟩ if λMIN is sufficently large. For example: if zUP = 0.98 and αLOW = 0.8 then a pse exists if λ > 1.25, i.e. λMIN = 1.25. The intuition for the minimum λ requirement is that it secures that the network looses revenues from L-types calling each other when it deviates to
Proof of Proposition 3
Proof
Consider network 1. Given that the networks set the calling prices in the two-part tariffs equal to perceived marginal cost, the profit of 1 can be written as
where
where
The best response is upward sloping when a ≥ c since stability in the H-type segment requires t − α(vH(2c) − vH(a + c)) > 0. Doing the same excersice for network 2 and solving the networks’ best responses yield the equilibrium subscription fees
where
Proof of ∂ p ̄ o n * ∂ z < 0 , (17)
Proof
Equation (17) states that
When we totally differentiate this holding
The terms inside the outside square brackets in the deninator is the second order condition of the initial maximization problem – which is negative. Hence the denominator is positive. Evaluated at symmetric prices, the first term in the numerator is zero due to (1). The second term is positive due to (2), hence
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Articles in the same Issue
- 10.1515/rne-2021-frontmatter3
- Articles
- The Expansion of Peer-to-Peer Lending
- Mobile Telephony in Emerging Markets: The Importance of Dual-SIM Phones
Articles in the same Issue
- 10.1515/rne-2021-frontmatter3
- Articles
- The Expansion of Peer-to-Peer Lending
- Mobile Telephony in Emerging Markets: The Importance of Dual-SIM Phones