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Analysis of differences of the consumption of mobile voice service based on quantile regression model

机译：基于分位数回归模型的移动语音业务消费差异分析

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This paper researches the demand function of the per capita consumption of mobile voice service by fixed effect quantile regression model. Results show that both price elasticity and income elasticity vary between different consumption-level consumer groups. For low-consumption consumers, income is the most important factor that impacts their consumption, while the price of mobile voice service and the price of communication tools and local fixed voice service all have little effects on consumption; for middle and high consumption consumers, when consumption rise, the price sensitivity of consumers tends to increases, cross-price elasticity of communication tools and local fixed voice service also increase. These results indicate that quantile regression model can give us more detailed and accurate descriptions of demand function than ordinary regression models, and provide us a new method to correctly judge the development stage of the mobile voice service market and then further develop effective marketing strategies.
机译：本文研究了固定效果数位数回归模型对移动语音服务人均消费的需求函数。结果表明，不同消费级别消费群体之间的价格弹性和收入弹性都有所不同。对于低消费消费者，收入是影响其消费的最重要因素，而移动语音服务的价格和通信工具的价格和局部固定语音服务都对消费几乎没有影响;对于中间和高消费消费者，当消费量增加时，消费者的价格敏感性往往会增加，通信工具的跨性价力和局部固定语音服务也增加。这些结果表明，分位数回归模型可以给我们更详细和准确的需求功能描述，而不是普通回归模型，并为我们提供一种正确判断移动语音服务市场的发展阶段的新方法，然后进一步发展有效的营销策略。

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