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Google searches and twitter mood: nowcasting telecom sales performance

机译:Google搜索和Twitter情绪:临近预测电信销售业绩

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摘要

The web currently carries vast amounts of information as to what consumers search for, comment on, and purchase in the real economy. This paper leverages a mash-up of online Google search queries and of social media comments (from Twitter, Facebook and other blogs) to "nowcast" the product sales evolution . of the major telecom companies in Belgium. A few findings stand out. With an Error Correction Mechanism (ECM) model of sales dynamics, a co-integration relationship prevails between social media valence (respectively, between search query) and telecom operators' sales for both internet and digital television access provision (respectively, for fixed telephony provision). Elasticity estimates on sales are relatively larger for valence than for search queries. The ECM model with now-casting variables improves telecom sales forecasts by about 25 % versus a naieve autoregressive sales model.
机译:当前,网络上载有大量有关消费者在实体经济中搜索,评论和购买商品的信息。本文利用在线Google搜索查询和社交媒体评论(来自Twitter,Facebook和其他博客)的混搭来“预测”产品销售的演变。比利时的主要电信公司。一些发现很突出。使用销售动态的错误校正机制(ECM)模型,社交媒体效价(分别在搜索查询之间)与电信运营商的互联网和数字电视访问权限(分别用于固定电话服务)销售之间存在协整关系。 )。价的销售弹性估算值相对于搜索查询相对更大。与单纯的自回归销售模型相比,具有即时广播变量的ECM模型将电信销售预测提高了约25%。

著录项

  • 来源
    《Netnomics》 |2015年第2期|87-105|共19页
  • 作者

    Jacques Bughin;

  • 作者单位

    McKinsey & Company, Avenue Louise, 480, B-1050 Brussels, Belgium,ECARES, Free University of Brussels, Avenue Roosevelt, B-1050 Brussels, Belgium,Applied Economics, Katholicke Universiteit Leuven, NaamseStraat, 8, B-3000 Leuven, Belgium;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Google trends; Social media; Nowcasting;

    机译:Google趋势;社交媒体;临近广播;
  • 入库时间 2022-08-18 01:18:05

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