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- W3202062005 abstract "In this paper, we combine the literature from marketing and industrial economics about the mobile industry to build up the basics for estimating heterogeneous demand models. We also had a look at the general statistics for better understanding the market and proposing logit and Random Coefficient Logit (RCL) models to estimate the demand equations. Based on the observation on the market and the aggregate format of the market intelligence data, we follow the methodology of [1, 2] since we consider the RCL an attractive approach for estimating discrete purchases demand from aggregate data. The significant contribution of our approach is to provide a practical method for estimating price elasticities for demand systems involving many similar datasets using market intelligence data. The applications to other related electronics industry would be quite simple, considering the similarities in characteristics, perishable nature of selling prices, heterogeneous demand, and demographic differences in tastes." @default.
- W3202062005 created "2021-10-11" @default.
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- W3202062005 date "2021-01-01" @default.
- W3202062005 modified "2023-10-17" @default.
- W3202062005 title "European Mobile Phone Industry: Demand Estimation Using Discrete Random Coefficients Models" @default.
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- W3202062005 doi "https://doi.org/10.1007/978-3-030-78163-7_12" @default.
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