The Experts below are selected from a list of 11229 Experts worldwide ranked by ideXlab platform
Pedro Pereira - One of the best experts on this subject based on the ideXlab platform.
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Subscription Choices and Switching Costs in Mobile Telephony
Review of Industrial Organization, 2011Co-Authors: Lukasz Grzybowski, Pedro PereiraAbstract:In this article, we estimate the price elasticities of demand for subscription and consumer switching costs for Mobile Telephony. We use a panel data of Portuguese consumers to estimate a series of multinomial and mixed logit models. The demand for subscription is found to be elastic and switching costs are large. We use the structural model to perform several policy exercises. Switching costs and brand preferences are shown to be important elements of the market structure of Mobile Telephony. Price mediated network effects seem to be relatively less important.
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The complementarity between calls and messages in Mobile Telephony
Information Economics and Policy, 2008Co-Authors: Lukasz Grzybowski, Pedro PereiraAbstract:Abstract This article estimates price elasticities of demand for Mobile telephone calls and messages. We use panel data consisting of telephone bills to Portuguese Mobile Telephony consumers. In order to account for the unobserved individual heterogeneity and data censoring, we estimate a Tobit model for panel data with individual random effects. The demands for calls and messages are inelastic. Calls and messages are found to be complements.
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Merger Simulation in Mobile Telephony in Portugal
Review of Industrial Organization, 2007Co-Authors: Lukasz Grzybowski, Pedro PereiraAbstract:This article assesses the unilateral effects on prices of a merger in the Portuguese Mobile Telephony market. We use aggregate quarterly data from 1999 to 2005 and a nested logit model to estimate the price elasticities of demand and the marginal costs of subscription of Mobile Telephony. Given these estimates, we simulate the effects of the merger. We find that the available Mobile Telephony subscription products are close substitutes. The merger may cause substantial price increases, even in the presence of large cost efficiencies. On average, prices increase by 7–10% without cost efficiencies, and by about 6–10% with a 10% marginal cost reduction.
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Subscription Choices and Switching Costs in Mobile Telephony
SSRN Electronic Journal, 2007Co-Authors: Lukasz Grzybowski, Pedro PereiraAbstract:In this article, we estimate the price elasticities of demand for subscription and consumer switching costs for Mobile Telephony. We use a panel of Portuguese consumer level data to estimate a series of multinomial and mixed logit models. The demand for subscription is elastic. Switching costs are large. We use the structural model to perform several policy exercises. Switching costs and brand preferences are shown to be important elements of the market structure of Mobile Telephony. Price mediated network effects seem to be relatively less important.
Karuna Jain - One of the best experts on this subject based on the ideXlab platform.
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Adoption behavior of rural India for Mobile Telephony
Telecommunications Policy, 2015Co-Authors: Ruchita Gupta, Karuna JainAbstract:Mobile Telephony influences nearly all aspects of people's lives and is expected to grow in importance as a revenue and information source. Mobile phones are reported to have a positive and significant impact on the overall economic performance of individuals and the growth of a country. In India, however, the adoption pace of Mobile Telephony in rural regions is slower than that in urban areas. We examine the differences in the intention to adopt Mobile Telephony across different segments of the rural Indian population using the extended technology acceptance model (TAM), partial least squares regression, and multigroup analysis. Results suggest that gender, age, technology subscription, and region play a moderating role on the relationships in the extended TAM for rural India. These findings can help service providers design and develop group-specific offerings that lead to faster adoption of Mobile Telephony in rural India. We examined Mobile Telephony adoption among segments of rural Indian population.Cost of service has a negative effect on the older group's intention to adopt (IA).Male's IA is influenced by perceived ease of use, while female's IA is influenced by perceived usefulness.Subscriber's IA is influenced by mass media, while nonsubscriber's IA is influenced by social influence.Nonsubscriber's IA is negatively influenced by perceived health hazard.
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Adoption of Mobile Telephony in Rural India: An Empirical Study
Decision Sciences, 2014Co-Authors: Ruchita Gupta, Karuna JainAbstract:Mobile Telephony has become one of the major factors driving the social and economic development of a country. The objective of this article is to identify factors affecting the adoption of Mobile Telephony in rural India and examine their impact on its adoption. An explanatory empirical methodology with sequential design was used for this purpose, and new factors that affect users� decisions to adopt Mobile Telephony in rural India were identified. We extended the technology acceptance model by integrating new factors for a developing nation. This study found that ensuring service transparency and identifying opinion leaders in the local community are key requirements for increasing the speed of adoption in the rural India. The findings of this study will provide insights for service providers and policy makers to develop strategies and policies that will enhance Mobile Telephony adoption in rural India.
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Diffusion of Mobile Telephony in India: An empirical study
Technological Forecasting and Social Change, 2012Co-Authors: Ruchita Gupta, Karuna JainAbstract:Abstract Diffusion of new technology is an important driver of economic growth. In this paper, diffusion of Mobile Telephony in India is studied. There is a vast diffusion potential in this country which needs to be exploited efficiently and in a rational way. This paper investigates the social, technological, economical and political (STEP) factors that have influenced the diffusion process of Mobile Telephony especially the diffusion speed. The epidemic model, which is widely employed in the diffusion studies of Mobile Telephony, is used for the study. The data is fitted into logistic, gompertz, and bass models by nonlinear least squares and it is found that gompertz model best describes the diffusion process of Mobile Telephony in India. The study reveals that competition and government intervention played a significant role in accelerating the diffusion speed of Mobile Telephony by making the technology affordable. It is found that Mobile Telephony is a substitute for fixed line Telephony in India. The findings will be useful in taking managerial decisions with respect to factors in forecasting and controlling the diffusion process of emerging technologies.
Haruna Issahaku - One of the best experts on this subject based on the ideXlab platform.
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Mobile Telephony financial inclusion and inclusive growth
Journal of African Business, 2018Co-Authors: Joshua Abor, Mohammed Amidu, Haruna IssahakuAbstract:The paper employs the multipurpose nature of Mobile Telephony to investigate its welfare implications using a large sample of households in Ghana. We use seemingly unrelated probit and instrumental variable procedure to test for two related issues: First, we investigate whether Mobile Telephony promotes pro-poor development by helping households to efficiently allocate consumption and navigate out of poverty. Second, we analyze whether access to a broad array of financial services enhances the capacity of households to live worthwhile lives. The results show that Mobile penetration and financial inclusion significantly reduce the probability of a household becoming poor and increase per capita household consumption of food and non-food items. Our results show that the welfare benefits of Mobile Telephony and financial inclusion are not more pronounced in female-headed households. These insights serve as useful guide for government and other stakeholders who are looking for avenues to improve livelihoods.
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Mobile Telephony financial inclusion and inclusive growth
Journal of African Business, 2018Co-Authors: Joshua Abor, Mohammed Amidu, Haruna IssahakuAbstract:The paper employs the multipurpose nature of Mobile Telephony to investigate its welfare implications using a large sample of households in Ghana. We use seemingly unrelated probit and instrumental...
Lukasz Grzybowski - One of the best experts on this subject based on the ideXlab platform.
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Subscription Choices and Switching Costs in Mobile Telephony
Review of Industrial Organization, 2011Co-Authors: Lukasz Grzybowski, Pedro PereiraAbstract:In this article, we estimate the price elasticities of demand for subscription and consumer switching costs for Mobile Telephony. We use a panel data of Portuguese consumers to estimate a series of multinomial and mixed logit models. The demand for subscription is found to be elastic and switching costs are large. We use the structural model to perform several policy exercises. Switching costs and brand preferences are shown to be important elements of the market structure of Mobile Telephony. Price mediated network effects seem to be relatively less important.
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COMPETITION IN Mobile Telephony IN FRANCE AND GERMANY
The Manchester School, 2010Co-Authors: Lukasz Grzybowski, Chiraz KaramtiAbstract:This paper analyses the development of Mobile Telephony in France and Germany in 1998–2002. We conduct this analysis in relation to the antitrust investigation initiated by the French competition authority in 2002 due to exchange of strategic information and a share-fixing agreement between network operators. The results suggest a significant difference between price elasticities of demand in these two countries. Moreover, consumers perceive Mobile Telephony as a substitute for fixed-line connection in France and as a complement in Germany. In the time period of the share-fixing agreement among French network operators there were no adverse shifts in the levels of prices and subscriptions.
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Screening Competition in Mobile Telephony
Applied Economics, 2010Co-Authors: Lukasz GrzybowskiAbstract:This paper presents a simple method for screening competition in differentiated products oligopoly with a small number of competitors. In many situations, estimation of price elasticities of demand may be impossible due to difficulties in defining demand or missing data on sales. However, even without information on price elasticities, in certain situations it is possible to test for the static non-cooperative Nash-Bertrand equilibrium, which in the case of rejection, may be important screening information for antitrust authorities. The static non-cooperative Nash-Bertrand equilibrium may be rejected when demand is linear and in the estimation of best-response functions, the coefficients on the competitors' prices are statistically greater than 0.5. The application of this method is illustrated by the example of German Mobile Telephony using monthly data between January 1998 and December 2002. According to the estimation results, the observed prices in the segment of low-users cannot be the outcome of a static non-cooperative Nash-Bertrand equilibrium.
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Estimating Switching Costs in Mobile Telephony in the UK
Journal of Industry Competition and Trade, 2008Co-Authors: Lukasz GrzybowskiAbstract:This paper uses multinominal and mixed logit on British consumer panel data from 1999–2001 to estimate switching costs in Mobile Telephony. The results of the estimation show that consumers of Mobile services in the UK face significant switching costs which vary according to network operators. Network operator choice is also explained by observed and unobserved heterogeneity in consumer tastes. Furthermore, the probability of switching depends on consumer characteristics such as age and the ways they spend their free time.
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The complementarity between calls and messages in Mobile Telephony
Information Economics and Policy, 2008Co-Authors: Lukasz Grzybowski, Pedro PereiraAbstract:Abstract This article estimates price elasticities of demand for Mobile telephone calls and messages. We use panel data consisting of telephone bills to Portuguese Mobile Telephony consumers. In order to account for the unobserved individual heterogeneity and data censoring, we estimate a Tobit model for panel data with individual random effects. The demands for calls and messages are inelastic. Calls and messages are found to be complements.
Ruchita Gupta - One of the best experts on this subject based on the ideXlab platform.
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Adoption behavior of rural India for Mobile Telephony
Telecommunications Policy, 2015Co-Authors: Ruchita Gupta, Karuna JainAbstract:Mobile Telephony influences nearly all aspects of people's lives and is expected to grow in importance as a revenue and information source. Mobile phones are reported to have a positive and significant impact on the overall economic performance of individuals and the growth of a country. In India, however, the adoption pace of Mobile Telephony in rural regions is slower than that in urban areas. We examine the differences in the intention to adopt Mobile Telephony across different segments of the rural Indian population using the extended technology acceptance model (TAM), partial least squares regression, and multigroup analysis. Results suggest that gender, age, technology subscription, and region play a moderating role on the relationships in the extended TAM for rural India. These findings can help service providers design and develop group-specific offerings that lead to faster adoption of Mobile Telephony in rural India. We examined Mobile Telephony adoption among segments of rural Indian population.Cost of service has a negative effect on the older group's intention to adopt (IA).Male's IA is influenced by perceived ease of use, while female's IA is influenced by perceived usefulness.Subscriber's IA is influenced by mass media, while nonsubscriber's IA is influenced by social influence.Nonsubscriber's IA is negatively influenced by perceived health hazard.
-
Adoption of Mobile Telephony in Rural India: An Empirical Study
Decision Sciences, 2014Co-Authors: Ruchita Gupta, Karuna JainAbstract:Mobile Telephony has become one of the major factors driving the social and economic development of a country. The objective of this article is to identify factors affecting the adoption of Mobile Telephony in rural India and examine their impact on its adoption. An explanatory empirical methodology with sequential design was used for this purpose, and new factors that affect users� decisions to adopt Mobile Telephony in rural India were identified. We extended the technology acceptance model by integrating new factors for a developing nation. This study found that ensuring service transparency and identifying opinion leaders in the local community are key requirements for increasing the speed of adoption in the rural India. The findings of this study will provide insights for service providers and policy makers to develop strategies and policies that will enhance Mobile Telephony adoption in rural India.
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Diffusion of Mobile Telephony in India: An empirical study
Technological Forecasting and Social Change, 2012Co-Authors: Ruchita Gupta, Karuna JainAbstract:Abstract Diffusion of new technology is an important driver of economic growth. In this paper, diffusion of Mobile Telephony in India is studied. There is a vast diffusion potential in this country which needs to be exploited efficiently and in a rational way. This paper investigates the social, technological, economical and political (STEP) factors that have influenced the diffusion process of Mobile Telephony especially the diffusion speed. The epidemic model, which is widely employed in the diffusion studies of Mobile Telephony, is used for the study. The data is fitted into logistic, gompertz, and bass models by nonlinear least squares and it is found that gompertz model best describes the diffusion process of Mobile Telephony in India. The study reveals that competition and government intervention played a significant role in accelerating the diffusion speed of Mobile Telephony by making the technology affordable. It is found that Mobile Telephony is a substitute for fixed line Telephony in India. The findings will be useful in taking managerial decisions with respect to factors in forecasting and controlling the diffusion process of emerging technologies.