Abstract

This paper demonstrates how revealed- and stated-preference analyses can be used for modeling network effects in the field of mobile telecommunications. The aim of this study was to verify if network effects may still play a role in the Polish mobile telecommunications market, measure their strength, identify their sources and variability across consumers by accounting for consumers' observable and unobservable preference heterogeneity, evaluate their monetary value to consumers, and finally, to verify if the marginal utility associated with network effects is constant. The analysis of consumers' revealed choices (currently used mobile telephone operator) allowed the identification of major differences between customer bases of incumbent and new entrant operators, and insight into the business strategies adopted in the presence of asymmetric regulation of mobile termination rates. The second part of the study—the analysis of the consumers' stated choices (made in carefully prepared and designed hypothetical choice situations, known as the choice experiments) made it possible to directly model consumers' utility functions and, in this way, investigate the nature of network effects in mobile telecommunications markets. From the results, the presence of strong network effects, which are related to the ratio of consumers' social network group using the same operator, and to the magnitude of on-net price discounts, is confirmed. These network effects can be disaggregated to pecuniary and non-pecuniary effects. Through the utilization of the random parameters multinomial logit model, consumers' observable and unobservable preference heterogeneity can be accounted for, which proved a scientifically revealing and potentially policy-relevant approach. The results might be of a particular interest to other researchers aiming at modeling consumers' preferences as well as to mobile telephone operators and regulatory authorities—it is shown that capacity for vigorous price competition between mobile operators is limited by non-price factors, which affect subscriber's choices, especially in the presence of asymmetric mobile termination rates.

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