全球智库信息集成服务系统(G2TT): DP10939 Attention and Saliency on the Internet: Evidence from an Online Recommendation System

G2TT

来源类型	Discussion paper
规范类型	论文
来源ID	DP10939
	DP10939 Attention and Saliency on the Internet: Evidence from an Online Recommendation System
	Pramila Krishnan; Christian Helmers; Manasa Patnam
发表日期	2015-11-15
出版年	2015
语种	英语
摘要	Using high-frequency transaction-level data from an online retail store, we examine whether consumer choices on the internet are consistent with models of limited attention. We test whether consumers are more likely to buy products that receive a saliency shock when they are recommended by new products. To identify the saliency effect, we rely on i) the timing of new product arrivals, ii) the fact that new products are per se highly salient upon arrival, drawing more attention and iii) regional variation in the composition of recommendation sets. We find a sharp and robust 6% increase in the aggregate sales of existing products after they are recommended by a new product. To structurally disentangle the effect of saliency on a consumer?s consideration and choice decision, we use data on individual transactions to estimate a probabilistic choice set model. We find that the saliency effect is driven largely by an expansion of consumers? consideration sets.
主题	Industrial Organization
关键词	Limited attention Advertising Online markets
URL	https://cepr.org/publications/dp10939
来源智库	Centre for Economic Policy Research (United Kingdom)
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/539769
推荐引用方式 GB/T 7714	Pramila Krishnan,Christian Helmers,Manasa Patnam. DP10939 Attention and Saliency on the Internet: Evidence from an Online Recommendation System. 2015.